[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-7c67ad98e455c6d4-the-shift-from-data-labeling-to-data-as-a-service-summary":3,"summaries-facets-categories":81,"summary-related-7c67ad98e455c6d4-the-shift-from-data-labeling-to-data-as-a-service-summary":7679},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":62,"path":63,"published_at":64,"question":48,"scraped_at":65,"seo":66,"sitemap":67,"source_id":68,"source_name":69,"source_type":70,"source_url":71,"stem":72,"tags":73,"thumbnail_url":48,"tldr":78,"tweet":48,"unknown_tags":79,"__hash__":80},"summaries\u002Fsummaries\u002F7c67ad98e455c6d4-the-shift-from-data-labeling-to-data-as-a-service-summary.md","The Shift from Data Labeling to Data-as-a-Service",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",3933,545,3427,0.00180075,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"the-strategic-pivot-to-data-as-a-service","The Strategic Pivot to Data-as-a-Service",[22,23,24],"p",{},"Snorkel AI has successfully transitioned from a software-only data labeling platform to a 'data-as-a-service' provider. This shift addresses the primary bottleneck in modern AI development: the scarcity of high-quality training data. By moving beyond simple automation tools, the company now delivers complete datasets and reinforcement learning (RL) environments, allowing AI labs to bypass the manual overhead of data preparation.",[17,26,28],{"id":27},"hybrid-data-generation","Hybrid Data Generation",[22,30,31],{},"Rather than relying solely on human labor or purely algorithmic generation, Snorkel employs a hybrid methodology. The company uses its proprietary models to generate synthetic data, which is then refined by domain experts. This approach balances the scalability of synthetic data with the accuracy and nuance required by subject matter experts. This model also changes the financial structure of the business; unlike competitors that function as marketplaces for human labor—where 60% to 70% of gross revenue is paid out to workers—Snorkel treats expert contributions as a cost of goods sold (COGS). This distinction allows for a more favorable revenue profile and has contributed to an 18-fold increase in annualized revenue over the last 12 months, reaching $375 million.",[17,33,35],{"id":34},"market-context-and-growth","Market Context and Growth",[22,37,38],{},"The rapid valuation growth of Snorkel AI—tripling to $3.5 billion in 17 months—reflects a broader trend in the AI infrastructure market. As AI labs face an 'insatiable appetite' for high-end training data, companies positioning themselves as specialized AI data labs are seeing significant revenue scaling. While headline figures for companies in this space (such as Mercor or Micro1) are high, it is critical to distinguish between gross revenue and net revenue, as the labor-intensive nature of expert-in-the-loop data curation significantly impacts actual margins.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"AI & LLMs",null,"md",false,{"content_references":52,"triage":57},[53],{"type":54,"title":55,"context":56},"other","TechCrunch","mentioned",{"relevance":58,"novelty":59,"quality":58,"actionability":41,"composite":60,"reasoning":61},4,3,3.4,"Category: Business & SaaS. The article discusses Snorkel AI's transition to a data-as-a-service model, which addresses a key pain point in AI development: the need for high-quality training data. However, while it provides insights into market trends and business strategy, it lacks specific actionable steps for product builders to implement similar strategies.",true,"\u002Fsummaries\u002F7c67ad98e455c6d4-the-shift-from-data-labeling-to-data-as-a-service-summary","2026-09-22 21:56:43","2026-09-23 03:15:13",{"title":5,"description":40},{"loc":63},"7c67ad98e455c6d4","TechCrunch — AI","article","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F09\u002F22\u002Fsnorkel-ai-triples-valuation-to-3-5b-as-demand-for-ai-training-data-booms\u002F","summaries\u002F7c67ad98e455c6d4-the-shift-from-data-labeling-to-data-as-a-service-summary",[74,75,76,77],"ai-tools","data-science","saas","machine-learning","Snorkel AI reached a $3.5B valuation by pivoting from automated labeling software to a 'data-as-a-service' model, providing synthetic and expert-curated datasets to meet the massive demand for high-quality AI training data.",[],"CPMFX-8hJgpof88vjPZtrHd2ie73YuuGcIFmPkFn_MM",[82,84,87,89,92,94,97,100,102,104,106,108,111,114,116,118,120,122,125,127,129,131,133,136,138,140,142,144,146,148,150,152,154,156,158,160,162,164,166,168,170,172,174,176,178,180,182,184,186,188,191,193,195,197,199,201,203,205,207,209,211,213,215,217,219,221,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,267,269,271,273,275,277,279,281,283,285,287,289,291,293,295,297,299,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,373,375,377,379,381,383,385,387,389,391,393,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,429,431,433,435,437,439,441,443,445,447,449,451,453,455,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,527,529,531,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,573,575,577,579,581,583,585,587,589,591,593,595,597,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,909,911,913,915,917,920,922,924,926,928,930,932,934,936,938,940,942,944,946,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515,6517,6519,6521,6523,6525,6527,6529,6531,6533,6535,6537,6539,6541,6543,6545,6547,6549,6551,6553,6555,6557,6559,6561,6563,6565,6567,6569,6571,6573,6575,6577,6579,6581,6583,6585,6587,6589,6591,6593,6595,6597,6599,6601,6603,6605,6607,6609,6611,6613,6615,6617,6619,6621,6623,6625,6627,6629,6631,6633,6635,6637,6639,6641,6643,6645,6647,6649,6651,6653,6655,6657,6659,6661,6663,6665,6667,6669,6671,6673,6675,6677,6679,6681,6683,6685,6687,6689,6691,6693,6695,6697,6699,6701,6703,6705,6707,6709,6711,6713,6715,6717,6719,6721,6723,6725,6727,6729,6731,6733,6735,6737,6739,6741,6743,6745,6747,6749,6751,6753,6755,6757,6759,6761,6763,6765,6767,6769,6771,6773,6775,6777,6779,6781,6783,6785,6787,6789,6791,6793,6795,6797,6799,6801,6803,6805,6807,6809,6811,6813,6815,6817,6819,6821,6823,6825,6827,6829,6831,6833,6835,6837,6839,6841,6843,6845,6847,6849,6851,6853,6855,6857,6859,6861,6863,6865,6867,6869,6871,6873,6875,6877,6879,6881,6883,6885,6887,6889,6891,6893,6895,6897,6899,6901,6903,6905,6907,6909,6911,6913,6915,6917,6919,6921,6923,6925,6927,6929,6931,6933,6935,6937,6939,6941,6943,6945,6947,6949,6951,6953,6955,6957,6959,6961,6963,6965,6967,6969,6971,6973,6975,6977,6979,6981,6983,6985,6987,6989,6991,6993,6995,6997,6999,7001,7003,7005,7007,7009,7011,7013,7015,7017,7019,7021,7023,7025,7027,7029,7031,7033,7035,7037,7039,7041,7043,7045,7047,7049,7051,7053,7055,7057,7059,7061,7063,7065,7067,7069,7071,7073,7075,7077,7079,7081,7083,7085,7087,7089,7091,7093,7095,7097,7099,7101,7103,7105,7107,7109,7111,7113,7115,7117,7119,7121,7123,7125,7127,7129,7131,7133,7135,7137,7139,7141,7143,7145,7147,7149,7151,7153,7155,7157,7159,7161,7163,7165,7167,7169,7171,7173,7175,7177,7179,7181,7183,7185,7187,7189,7191,7193,7195,7197,7199,7201,7203,7205,7207,7209,7211,7213,7215,7217,7219,7221,7223,7225,7227,7229,7231,7233,7235,7237,7239,7241,7243,7245,7247,7249,7251,7253,7255,7257,7259,7261,7263,7265,7267,7269,7271,7273,7275,7277,7279,7281,7283,7285,7287,7289,7291,7293,7295,7297,7299,7301,7303,7305,7307,7309,7311,7313,7315,7317,7319,7321,7323,7325,7327,7329,7331,7333,7335,7337,7339,7341,7343,7345,7347,7349,7351,7353,7355,7357,7359,7361,7363,7365,7367,7369,7371,7373,7375,7377,7379,7381,7383,7385,7387,7389,7391,7393,7395,7397,7399,7401,7403,7405,7407,7409,7411,7413,7415,7417,7419,7421,7423,7425,7427,7429,7431,7433,7435,7437,7439,7441,7443,7445,7447,7449,7451,7453,7455,7457,7459,7461,7463,7465,7467,7469,7471,7473,7475,7477,7479,7481,7483,7485,7487,7489,7491,7493,7495,7497,7499,7501,7503,7505,7507,7509,7511,7513,7515,7517,7519,7521,7523,7525,7527,7529,7531,7533,7535,7537,7539,7541,7543,7545,7547,7549,7551,7553,7555,7557,7559,7561,7563,7565,7567,7569,7571,7573,7575,7577,7579,7581,7583,7585,7587,7589,7591,7593,7595,7597,7599,7601,7603,7605,7607,7609,7611,7613,7615,7617,7619,7621,7623,7625,7627,7629,7631,7633,7635,7637,7639,7641,7643,7645,7647,7649,7651,7653,7655,7657,7659,7661,7663,7665,7667,7669,7671,7673,7675,7677],{"categories":83},[47],{"categories":85},[86],"Developer Productivity",{"categories":88},[47],{"categories":90},[91],"Business & SaaS",{"categories":93},[47],{"categories":95},[96],"AI Automation",{"categories":98},[99],"Product Strategy",{"categories":101},[96],{"categories":103},[47],{"categories":105},[86],{"categories":107},[96],{"categories":109},[110],"Software Engineering",{"categories":112},[113],"Data Science & Visualization",{"categories":115},[47],{"categories":117},[91],{"categories":119},[],{"categories":121},[47],{"categories":123},[124],"Inference & Serving",{"categories":126},[47],{"categories":128},[47],{"categories":130},[96],{"categories":132},[],{"categories":134},[135],"AI News & Trends",{"categories":137},[113],{"categories":139},[96],{"categories":141},[47],{"categories":143},[47],{"categories":145},[47],{"categories":147},[91],{"categories":149},[86],{"categories":151},[47],{"categories":153},[96],{"categories":155},[135],{"categories":157},[47],{"categories":159},[96],{"categories":161},[96],{"categories":163},[47],{"categories":165},[47],{"categories":167},[96],{"categories":169},[47],{"categories":171},[47],{"categories":173},[47],{"categories":175},[91],{"categories":177},[96],{"categories":179},[135],{"categories":181},[47],{"categories":183},[47],{"categories":185},[47],{"categories":187},[],{"categories":189},[190],"Design & Frontend",{"categories":192},[47],{"categories":194},[113],{"categories":196},[47],{"categories":198},[135],{"categories":200},[47],{"categories":202},[47],{"categories":204},[47],{"categories":206},[],{"categories":208},[47],{"categories":210},[47],{"categories":212},[96],{"categories":214},[110],{"categories":216},[47],{"categories":218},[96],{"categories":220},[47],{"categories":222},[223],"Marketing & Growth",{"categories":225},[190],{"categories":227},[47],{"categories":229},[96],{"categories":231},[47],{"categories":233},[47],{"categories":235},[110],{"categories":237},[47],{"categories":239},[],{"categories":241},[],{"categories":243},[190],{"categories":245},[47],{"categories":247},[96],{"categories":249},[86],{"categories":251},[110],{"categories":253},[96],{"categories":255},[190],{"categories":257},[47],{"categories":259},[99],{"categories":261},[47],{"categories":263},[110],{"categories":265},[266],"DevOps & Cloud",{"categories":268},[96],{"categories":270},[99],{"categories":272},[135],{"categories":274},[47],{"categories":276},[],{"categories":278},[47],{"categories":280},[47],{"categories":282},[47],{"categories":284},[],{"categories":286},[96],{"categories":288},[110],{"categories":290},[],{"categories":292},[110],{"categories":294},[96],{"categories":296},[47],{"categories":298},[190],{"categories":300},[301],"Governance & Standards",{"categories":303},[91],{"categories":305},[],{"categories":307},[47],{"categories":309},[],{"categories":311},[47],{"categories":313},[47],{"categories":315},[96],{"categories":317},[96],{"categories":319},[47],{"categories":321},[47],{"categories":323},[96],{"categories":325},[47],{"categories":327},[47],{"categories":329},[47],{"categories":331},[],{"categories":333},[110],{"categories":335},[],{"categories":337},[],{"categories":339},[47],{"categories":341},[110],{"categories":343},[],{"categories":345},[110],{"categories":347},[47],{"categories":349},[96],{"categories":351},[47],{"categories":353},[223],{"categories":355},[47],{"categories":357},[47],{"categories":359},[47],{"categories":361},[190],{"categories":363},[190],{"categories":365},[47],{"categories":367},[110],{"categories":369},[96],{"categories":371},[372],"GovTech & Public-Sector Adoption",{"categories":374},[110],{"categories":376},[47],{"categories":378},[47],{"categories":380},[47],{"categories":382},[96],{"categories":384},[96],{"categories":386},[113],{"categories":388},[47],{"categories":390},[135],{"categories":392},[96],{"categories":394},[395],"Legal AI Tools",{"categories":397},[47],{"categories":399},[96],{"categories":401},[47],{"categories":403},[223],{"categories":405},[96],{"categories":407},[99],{"categories":409},[47],{"categories":411},[110],{"categories":413},[372],{"categories":415},[],{"categories":417},[96],{"categories":419},[],{"categories":421},[91],{"categories":423},[96],{"categories":425},[96],{"categories":427},[428],"RAG & Retrieval",{"categories":430},[91],{"categories":432},[47],{"categories":434},[110],{"categories":436},[110],{"categories":438},[266],{"categories":440},[190],{"categories":442},[96],{"categories":444},[47],{"categories":446},[47],{"categories":448},[47],{"categories":450},[47],{"categories":452},[],{"categories":454},[96],{"categories":456},[457],"Agents & Orchestration",{"categories":459},[110],{"categories":461},[47],{"categories":463},[],{"categories":465},[96],{"categories":467},[91],{"categories":469},[],{"categories":471},[47],{"categories":473},[],{"categories":475},[47],{"categories":477},[86],{"categories":479},[110],{"categories":481},[91],{"categories":483},[47],{"categories":485},[47],{"categories":487},[47],{"categories":489},[96],{"categories":491},[47],{"categories":493},[47],{"categories":495},[135],{"categories":497},[47],{"categories":499},[],{"categories":501},[47],{"categories":503},[47],{"categories":505},[],{"categories":507},[47],{"categories":509},[110],{"categories":511},[47],{"categories":513},[96],{"categories":515},[113],{"categories":517},[],{"categories":519},[47],{"categories":521},[47],{"categories":523},[190],{"categories":525},[526],"Models & Frontier Labs",{"categories":528},[],{"categories":530},[190],{"categories":532},[533],"Regulation & Governance of AI",{"categories":535},[99],{"categories":537},[96],{"categories":539},[],{"categories":541},[47],{"categories":543},[47],{"categories":545},[96],{"categories":547},[96],{"categories":549},[135],{"categories":551},[47],{"categories":553},[91],{"categories":555},[47],{"categories":557},[96],{"categories":559},[],{"categories":561},[110],{"categories":563},[96],{"categories":565},[47],{"categories":567},[99],{"categories":569},[47],{"categories":571},[572],"AI Policy & Regulation",{"categories":574},[],{"categories":576},[47],{"categories":578},[96],{"categories":580},[96],{"categories":582},[99],{"categories":584},[96],{"categories":586},[47],{"categories":588},[47],{"categories":590},[47],{"categories":592},[96],{"categories":594},[],{"categories":596},[113],{"categories":598},[599],"Evals & Reliability",{"categories":601},[47],{"categories":603},[47],{"categories":605},[],{"categories":607},[113],{"categories":609},[86],{"categories":611},[372],{"categories":613},[572],{"categories":615},[47],{"categories":617},[47],{"categories":619},[91],{"categories":621},[47],{"categories":623},[96],{"categories":625},[47],{"categories":627},[96],{"categories":629},[457],{"categories":631},[47],{"categories":633},[110],{"categories":635},[47],{"categories":637},[47],{"categories":639},[],{"categories":641},[190],{"categories":643},[],{"categories":645},[47],{"categories":647},[47],{"categories":649},[372],{"categories":651},[47],{"categories":653},[47],{"categories":655},[47],{"categories":657},[],{"categories":659},[47],{"categories":661},[190],{"categories":663},[110],{"categories":665},[],{"categories":667},[47],{"categories":669},[],{"categories":671},[96],{"categories":673},[47],{"categories":675},[190],{"categories":677},[],{"categories":679},[47],{"categories":681},[47],{"categories":683},[113],{"categories":685},[96],{"categories":687},[47],{"categories":689},[91],{"categories":691},[96],{"categories":693},[47],{"categories":695},[47],{"categories":697},[110],{"categories":699},[190],{"categories":701},[47],{"categories":703},[96],{"categories":705},[],{"categories":707},[110],{"categories":709},[96],{"categories":711},[113],{"categories":713},[],{"categories":715},[47],{"categories":717},[135],{"categories":719},[47],{"categories":721},[],{"categories":723},[47],{"categories":725},[47],{"categories":727},[47],{"categories":729},[91,223],{"categories":731},[],{"categories":733},[110],{"categories":735},[47],{"categories":737},[47],{"categories":739},[96],{"categories":741},[47],{"categories":743},[47],{"categories":745},[],{"categories":747},[],{"categories":749},[47],{"categories":751},[47],{"categories":753},[190],{"categories":755},[47],{"categories":757},[],{"categories":759},[47],{"categories":761},[266],{"categories":763},[],{"categories":765},[96],{"categories":767},[135],{"categories":769},[47],{"categories":771},[91],{"categories":773},[47],{"categories":775},[110],{"categories":777},[190],{"categories":779},[],{"categories":781},[47],{"categories":783},[135],{"categories":785},[47],{"categories":787},[124],{"categories":789},[47],{"categories":791},[47],{"categories":793},[96],{"categories":795},[135],{"categories":797},[526],{"categories":799},[47],{"categories":801},[223],{"categories":803},[],{"categories":805},[96],{"categories":807},[91],{"categories":809},[110],{"categories":811},[47],{"categories":813},[96],{"categories":815},[],{"categories":817},[47,266],{"categories":819},[47],{"categories":821},[47],{"categories":823},[47],{"categories":825},[96],{"categories":827},[47,110],{"categories":829},[113],{"categories":831},[47],{"categories":833},[47],{"categories":835},[47],{"categories":837},[110],{"categories":839},[47],{"categories":841},[96],{"categories":843},[96],{"categories":845},[572],{"categories":847},[223],{"categories":849},[47],{"categories":851},[96],{"categories":853},[47],{"categories":855},[47],{"categories":857},[96],{"categories":859},[],{"categories":861},[96],{"categories":863},[47],{"categories":865},[47],{"categories":867},[96],{"categories":869},[47],{"categories":871},[47,91],{"categories":873},[47],{"categories":875},[47],{"categories":877},[91],{"categories":879},[],{"categories":881},[190],{"categories":883},[190],{"categories":885},[47],{"categories":887},[],{"categories":889},[],{"categories":891},[47],{"categories":893},[135],{"categories":895},[],{"categories":897},[86],{"categories":899},[47],{"categories":901},[110],{"categories":903},[96],{"categories":905},[47],{"categories":907},[908],"Generative UI & Design-to-Code",{"categories":910},[47],{"categories":912},[47],{"categories":914},[190],{"categories":916},[47],{"categories":918},[919],"Algorithmic Accountability",{"categories":921},[96],{"categories":923},[110],{"categories":925},[135],{"categories":927},[190],{"categories":929},[47],{"categories":931},[],{"categories":933},[99],{"categories":935},[47],{"categories":937},[47],{"categories":939},[47],{"categories":941},[47],{"categories":943},[47],{"categories":945},[96],{"categories":947},[948],"MLOps & Infrastructure",{"categories":950},[47],{"categories":952},[47],{"categories":954},[47],{"categories":956},[47],{"categories":958},[47],{"categories":960},[110],{"categories":962},[135],{"categories":964},[47],{"categories":966},[47],{"categories":968},[99],{"categories":970},[86],{"categories":972},[47],{"categories":974},[96],{"categories":976},[266],{"categories":978},[47],{"categories":980},[91],{"categories":982},[47],{"categories":984},[190],{"categories":986},[47],{"categories":988},[99],{"categories":990},[47],{"categories":992},[96],{"categories":994},[],{"categories":996},[],{"categories":998},[47],{"categories":1000},[124],{"categories":1002},[190],{"categories":1004},[135],{"categories":1006},[113],{"categories":1008},[],{"categories":1010},[47],{"categories":1012},[47],{"categories":1014},[91],{"categories":1016},[96],{"categories":1018},[47],{"categories":1020},[47],{"categories":1022},[47],{"categories":1024},[47],{"categories":1026},[47],{"categories":1028},[135],{"categories":1030},[124],{"categories":1032},[47],{"categories":1034},[190],{"categories":1036},[47],{"categories":1038},[],{"categories":1040},[96],{"categories":1042},[110],{"categories":1044},[],{"categories":1046},[47],{"categories":1048},[47],{"categories":1050},[96],{"categories":1052},[110],{"categories":1054},[47],{"categories":1056},[113],{"categories":1058},[190],{"categories":1060},[],{"categories":1062},[47],{"categories":1064},[],{"categories":1066},[47],{"categories":1068},[],{"categories":1070},[47],{"categories":1072},[47],{"categories":1074},[99],{"categories":1076},[91],{"categories":1078},[96],{"categories":1080},[96],{"categories":1082},[110],{"categories":1084},[],{"categories":1086},[47],{"categories":1088},[86],{"categories":1090},[47],{"categories":1092},[47],{"categories":1094},[91],{"categories":1096},[135],{"categories":1098},[86],{"categories":1100},[],{"categories":1102},[47],{"categories":1104},[],{"categories":1106},[47],{"categories":1108},[],{"categories":1110},[47],{"categories":1112},[135],{"categories":1114},[135],{"categories":1116},[],{"categories":1118},[457],{"categories":1120},[47],{"categories":1122},[190],{"categories":1124},[110],{"categories":1126},[],{"categories":1128},[395],{"categories":1130},[96],{"categories":1132},[96],{"categories":1134},[91],{"categories":1136},[47],{"categories":1138},[],{"categories":1140},[],{"categories":1142},[86],{"categories":1144},[113],{"categories":1146},[],{"categories":1148},[223],{"categories":1150},[96],{"categories":1152},[91],{"categories":1154},[96],{"categories":1156},[47],{"categories":1158},[91],{"categories":1160},[47],{"categories":1162},[110],{"categories":1164},[],{"categories":1166},[124],{"categories":1168},[99],{"categories":1170},[47],{"categories":1172},[190],{"categories":1174},[110],{"categories":1176},[91],{"categories":1178},[47],{"categories":1180},[110],{"categories":1182},[47],{"categories":1184},[96],{"categories":1186},[91],{"categories":1188},[47],{"categories":1190},[47],{"categories":1192},[47],{"categories":1194},[47],{"categories":1196},[47],{"categories":1198},[47],{"categories":1200},[],{"categories":1202},[],{"categories":1204},[110],{"categories":1206},[113],{"categories":1208},[99],{"categories":1210},[47],{"categories":1212},[96],{"categories":1214},[110],{"categories":1216},[110],{"categories":1218},[47],{"categories":1220},[],{"categories":1222},[47],{"categories":1224},[135],{"categories":1226},[99],{"categories":1228},[99],{"categories":1230},[110],{"categories":1232},[47],{"categories":1234},[599],{"categories":1236},[266],{"categories":1238},[],{"categories":1240},[96],{"categories":1242},[47],{"categories":1244},[86],{"categories":1246},[],{"categories":1248},[86],{"categories":1250},[],{"categories":1252},[47],{"categories":1254},[47],{"categories":1256},[47],{"categories":1258},[190],{"categories":1260},[223],{"categories":1262},[99],{"categories":1264},[47],{"categories":1266},[110],{"categories":1268},[47],{"categories":1270},[96],{"categories":1272},[],{"categories":1274},[110],{"categories":1276},[47],{"categories":1278},[86],{"categories":1280},[],{"categories":1282},[91],{"categories":1284},[47],{"categories":1286},[47],{"categories":1288},[135],{"categories":1290},[47,266],{"categories":1292},[47],{"categories":1294},[1295],"Design Systems for AI",{"categories":1297},[47],{"categories":1299},[47],{"categories":1301},[135],{"categories":1303},[47],{"categories":1305},[47],{"categories":1307},[47],{"categories":1309},[91],{"categories":1311},[47],{"categories":1313},[47],{"categories":1315},[47],{"categories":1317},[],{"categories":1319},[47],{"categories":1321},[47],{"categories":1323},[91],{"categories":1325},[47],{"categories":1327},[],{"categories":1329},[96],{"categories":1331},[96],{"categories":1333},[110],{"categories":1335},[47],{"categories":1337},[135],{"categories":1339},[110],{"categories":1341},[47],{"categories":1343},[190],{"categories":1345},[135],{"categories":1347},[113],{"categories":1349},[47],{"categories":1351},[47],{"categories":1353},[47],{"categories":1355},[47],{"categories":1357},[96],{"categories":1359},[86],{"categories":1361},[572],{"categories":1363},[47],{"categories":1365},[47],{"categories":1367},[96],{"categories":1369},[47],{"categories":1371},[110],{"categories":1373},[47],{"categories":1375},[110],{"categories":1377},[],{"categories":1379},[190],{"categories":1381},[],{"categories":1383},[47],{"categories":1385},[96],{"categories":1387},[99],{"categories":1389},[],{"categories":1391},[91],{"categories":1393},[47],{"categories":1395},[],{"categories":1397},[190],{"categories":1399},[110],{"categories":1401},[96],{"categories":1403},[110],{"categories":1405},[47],{"categories":1407},[190],{"categories":1409},[47],{"categories":1411},[110],{"categories":1413},[47],{"categories":1415},[47],{"categories":1417},[190],{"categories":1419},[],{"categories":1421},[],{"categories":1423},[135],{"categories":1425},[96],{"categories":1427},[96],{"categories":1429},[47],{"categories":1431},[96],{"categories":1433},[47],{"categories":1435},[47],{"categories":1437},[47],{"categories":1439},[47],{"categories":1441},[47],{"categories":1443},[47],{"categories":1445},[91],{"categories":1447},[99],{"categories":1449},[47],{"categories":1451},[47],{"categories":1453},[],{"categories":1455},[110],{"categories":1457},[110],{"categories":1459},[47],{"categories":1461},[110],{"categories":1463},[91],{"categories":1465},[],{"categories":1467},[47],{"categories":1469},[47],{"categories":1471},[190],{"categories":1473},[47],{"categories":1475},[47],{"categories":1477},[47],{"categories":1479},[96],{"categories":1481},[86],{"categories":1483},[91],{"categories":1485},[47],{"categories":1487},[96],{"categories":1489},[135],{"categories":1491},[96],{"categories":1493},[124],{"categories":1495},[223],{"categories":1497},[47],{"categories":1499},[96],{"categories":1501},[47],{"categories":1503},[47],{"categories":1505},[47],{"categories":1507},[47],{"categories":1509},[],{"categories":1511},[190],{"categories":1513},[],{"categories":1515},[47],{"categories":1517},[47],{"categories":1519},[],{"categories":1521},[47],{"categories":1523},[47],{"categories":1525},[110],{"categories":1527},[91],{"categories":1529},[1530],"Visual & Generative Media",{"categories":1532},[96],{"categories":1534},[],{"categories":1536},[47],{"categories":1538},[47],{"categories":1540},[110],{"categories":1542},[47],{"categories":1544},[266],{"categories":1546},[47],{"categories":1548},[113],{"categories":1550},[572],{"categories":1552},[110],{"categories":1554},[223],{"categories":1556},[47],{"categories":1558},[99],{"categories":1560},[190],{"categories":1562},[47],{"categories":1564},[47],{"categories":1566},[110],{"categories":1568},[96],{"categories":1570},[47],{"categories":1572},[],{"categories":1574},[],{"categories":1576},[96],{"categories":1578},[110],{"categories":1580},[86],{"categories":1582},[96],{"categories":1584},[526],{"categories":1586},[47],{"categories":1588},[99],{"categories":1590},[47],{"categories":1592},[91],{"categories":1594},[],{"categories":1596},[47],{"categories":1598},[99],{"categories":1600},[47],{"categories":1602},[47],{"categories":1604},[47],{"categories":1606},[99],{"categories":1608},[47],{"categories":1610},[47],{"categories":1612},[223],{"categories":1614},[47],{"categories":1616},[457],{"categories":1618},[110],{"categories":1620},[96],{"categories":1622},[47],{"categories":1624},[96],{"categories":1626},[47],{"categories":1628},[47],{"categories":1630},[96],{"categories":1632},[47],{"categories":1634},[47],{"categories":1636},[47],{"categories":1638},[96],{"categories":1640},[47],{"categories":1642},[190],{"categories":1644},[96],{"categories":1646},[],{"categories":1648},[96],{"categories":1650},[47],{"categories":1652},[],{"categories":1654},[266],{"categories":1656},[110],{"categories":1658},[],{"categories":1660},[526],{"categories":1662},[47],{"categories":1664},[96],{"categories":1666},[96],{"categories":1668},[47],{"categories":1670},[190,47],{"categories":1672},[47],{"categories":1674},[86],{"categories":1676},[47],{"categories":1678},[96],{"categories":1680},[190],{"categories":1682},[],{"categories":1684},[47],{"categories":1686},[86],{"categories":1688},[47],{"categories":1690},[1691],"Medical Imaging & Radiology",{"categories":1693},[47],{"categories":1695},[47],{"categories":1697},[47],{"categories":1699},[190],{"categories":1701},[96],{"categories":1703},[96],{"categories":1705},[110],{"categories":1707},[],{"categories":1709},[47],{"categories":1711},[47],{"categories":1713},[47],{"categories":1715},[],{"categories":1717},[],{"categories":1719},[47],{"categories":1721},[47],{"categories":1723},[457],{"categories":1725},[47],{"categories":1727},[86],{"categories":1729},[47],{"categories":1731},[47],{"categories":1733},[],{"categories":1735},[96],{"categories":1737},[47],{"categories":1739},[99],{"categories":1741},[110],{"categories":1743},[47],{"categories":1745},[96],{"categories":1747},[457],{"categories":1749},[47],{"categories":1751},[96],{"categories":1753},[47],{"categories":1755},[47],{"categories":1757},[47],{"categories":1759},[47],{"categories":1761},[190],{"categories":1763},[96],{"categories":1765},[266],{"categories":1767},[190],{"categories":1769},[91],{"categories":1771},[96],{"categories":1773},[135],{"categories":1775},[47],{"categories":1777},[47],{"categories":1779},[99],{"categories":1781},[47],{"categories":1783},[47],{"categories":1785},[47],{"categories":1787},[47],{"categories":1789},[47],{"categories":1791},[96],{"categories":1793},[47],{"categories":1795},[110],{"categories":1797},[110],{"categories":1799},[47],{"categories":1801},[99],{"categories":1803},[],{"categories":1805},[135],{"categories":1807},[],{"categories":1809},[99],{"categories":1811},[96],{"categories":1813},[47],{"categories":1815},[47],{"categories":1817},[96],{"categories":1819},[47],{"categories":1821},[1295],{"categories":1823},[47],{"categories":1825},[1295],{"categories":1827},[190],{"categories":1829},[47],{"categories":1831},[47],{"categories":1833},[47],{"categories":1835},[96],{"categories":1837},[110],{"categories":1839},[190],{"categories":1841},[96],{"categories":1843},[135],{"categories":1845},[],{"categories":1847},[47],{"categories":1849},[],{"categories":1851},[47],{"categories":1853},[47],{"categories":1855},[96],{"categories":1857},[47],{"categories":1859},[47],{"categories":1861},[47],{"categories":1863},[96],{"categories":1865},[1866],"Contract Review & E-Discovery",{"categories":1868},[47],{"categories":1870},[190],{"categories":1872},[47],{"categories":1874},[86],{"categories":1876},[47],{"categories":1878},[135],{"categories":1880},[47],{"categories":1882},[47],{"categories":1884},[223],{"categories":1886},[110],{"categories":1888},[96],{"categories":1890},[47],{"categories":1892},[47],{"categories":1894},[47],{"categories":1896},[96],{"categories":1898},[96],{"categories":1900},[919],{"categories":1902},[47],{"categories":1904},[47],{"categories":1906},[96],{"categories":1908},[96],{"categories":1910},[47],{"categories":1912},[47],{"categories":1914},[47],{"categories":1916},[96],{"categories":1918},[47],{"categories":1920},[110],{"categories":1922},[47],{"categories":1924},[457],{"categories":1926},[428],{"categories":1928},[47],{"categories":1930},[96],{"categories":1932},[47],{"categories":1934},[1935],"Law-Firm Practice & Adoption",{"categories":1937},[47],{"categories":1939},[96],{"categories":1941},[190],{"categories":1943},[47],{"categories":1945},[47],{"categories":1947},[47],{"categories":1949},[],{"categories":1951},[110],{"categories":1953},[],{"categories":1955},[110],{"categories":1957},[47],{"categories":1959},[],{"categories":1961},[110],{"categories":1963},[96],{"categories":1965},[86],{"categories":1967},[266],{"categories":1969},[47],{"categories":1971},[],{"categories":1973},[47],{"categories":1975},[86],{"categories":1977},[96],{"categories":1979},[91],{"categories":1981},[47],{"categories":1983},[223],{"categories":1985},[47],{"categories":1987},[],{"categories":1989},[91],{"categories":1991},[96],{"categories":1993},[91],{"categories":1995},[],{"categories":1997},[47],{"categories":1999},[99],{"categories":2001},[47],{"categories":2003},[110],{"categories":2005},[],{"categories":2007},[],{"categories":2009},[],{"categories":2011},[],{"categories":2013},[47],{"categories":2015},[99],{"categories":2017},[96],{"categories":2019},[266],{"categories":2021},[47],{"categories":2023},[86],{"categories":2025},[110],{"categories":2027},[47],{"categories":2029},[47],{"categories":2031},[110],{"categories":2033},[99],{"categories":2035},[47],{"categories":2037},[47],{"categories":2039},[47],{"categories":2041},[948],{"categories":2043},[47],{"categories":2045},[110],{"categories":2047},[47],{"categories":2049},[223],{"categories":2051},[110],{"categories":2053},[91],{"categories":2055},[47],{"categories":2057},[47],{"categories":2059},[47],{"categories":2061},[190],{"categories":2063},[47],{"categories":2065},[47],{"categories":2067},[47],{"categories":2069},[47],{"categories":2071},[91],{"categories":2073},[96],{"categories":2075},[47,86],{"categories":2077},[47],{"categories":2079},[457],{"categories":2081},[47],{"categories":2083},[47],{"categories":2085},[110],{"categories":2087},[47],{"categories":2089},[110],{"categories":2091},[190],{"categories":2093},[96],{"categories":2095},[96],{"categories":2097},[110],{"categories":2099},[47],{"categories":2101},[96],{"categories":2103},[47],{"categories":2105},[47],{"categories":2107},[],{"categories":2109},[],{"categories":2111},[47],{"categories":2113},[113],{"categories":2115},[47],{"categories":2117},[47],{"categories":2119},[190],{"categories":2121},[96],{"categories":2123},[],{"categories":2125},[47],{"categories":2127},[47],{"categories":2129},[91],{"categories":2131},[110],{"categories":2133},[113],{"categories":2135},[135],{"categories":2137},[99],{"categories":2139},[190],{"categories":2141},[47],{"categories":2143},[96],{"categories":2145},[47],{"categories":2147},[110],{"categories":2149},[],{"categories":2151},[96],{"categories":2153},[96],{"categories":2155},[47],{"categories":2157},[47],{"categories":2159},[47],{"categories":2161},[47],{"categories":2163},[47],{"categories":2165},[47],{"categories":2167},[],{"categories":2169},[96],{"categories":2171},[47],{"categories":2173},[47],{"categories":2175},[47],{"categories":2177},[],{"categories":2179},[96],{"categories":2181},[96],{"categories":2183},[47],{"categories":2185},[47],{"categories":2187},[91],{"categories":2189},[47],{"categories":2191},[47],{"categories":2193},[],{"categories":2195},[86],{"categories":2197},[47],{"categories":2199},[47],{"categories":2201},[47],{"categories":2203},[190],{"categories":2205},[47],{"categories":2207},[110],{"categories":2209},[47],{"categories":2211},[86],{"categories":2213},[47],{"categories":2215},[110],{"categories":2217},[223],{"categories":2219},[110],{"categories":2221},[96],{"categories":2223},[96],{"categories":2225},[47],{"categories":2227},[47],{"categories":2229},[47,190],{"categories":2231},[47],{"categories":2233},[96],{"categories":2235},[135],{"categories":2237},[47],{"categories":2239},[135],{"categories":2241},[96],{"categories":2243},[190],{"categories":2245},[47],{"categories":2247},[],{"categories":2249},[110],{"categories":2251},[266],{"categories":2253},[190],{"categories":2255},[110],{"categories":2257},[47],{"categories":2259},[99],{"categories":2261},[47],{"categories":2263},[47],{"categories":2265},[96],{"categories":2267},[],{"categories":2269},[],{"categories":2271},[47],{"categories":2273},[],{"categories":2275},[],{"categories":2277},[99],{"categories":2279},[110],{"categories":2281},[47],{"categories":2283},[47],{"categories":2285},[96],{"categories":2287},[47],{"categories":2289},[96],{"categories":2291},[91],{"categories":2293},[96],{"categories":2295},[266],{"categories":2297},[47],{"categories":2299},[47],{"categories":2301},[47],{"categories":2303},[124],{"categories":2305},[47],{"categories":2307},[47],{"categories":2309},[47],{"categories":2311},[47],{"categories":2313},[110],{"categories":2315},[96],{"categories":2317},[47],{"categories":2319},[47],{"categories":2321},[47],{"categories":2323},[47],{"categories":2325},[110],{"categories":2327},[395],{"categories":2329},[96],{"categories":2331},[919],{"categories":2333},[],{"categories":2335},[96],{"categories":2337},[190],{"categories":2339},[1935],{"categories":2341},[110],{"categories":2343},[],{"categories":2345},[96],{"categories":2347},[],{"categories":2349},[47],{"categories":2351},[96],{"categories":2353},[],{"categories":2355},[],{"categories":2357},[47],{"categories":2359},[47],{"categories":2361},[223],{"categories":2363},[47],{"categories":2365},[223],{"categories":2367},[47],{"categories":2369},[96],{"categories":2371},[47],{"categories":2373},[47],{"categories":2375},[113],{"categories":2377},[47],{"categories":2379},[110],{"categories":2381},[99],{"categories":2383},[],{"categories":2385},[47],{"categories":2387},[47],{"categories":2389},[47],{"categories":2391},[110],{"categories":2393},[47],{"categories":2395},[1866],{"categories":2397},[47],{"categories":2399},[190],{"categories":2401},[190],{"categories":2403},[47],{"categories":2405},[47],{"categories":2407},[96],{"categories":2409},[86],{"categories":2411},[47],{"categories":2413},[47],{"categories":2415},[47],{"categories":2417},[47],{"categories":2419},[190],{"categories":2421},[190],{"categories":2423},[96],{"categories":2425},[96],{"categories":2427},[96],{"categories":2429},[47],{"categories":2431},[47],{"categories":2433},[47],{"categories":2435},[96],{"categories":2437},[],{"categories":2439},[47],{"categories":2441},[],{"categories":2443},[190],{"categories":2445},[2446],"Interaction & Product Design",{"categories":2448},[47],{"categories":2450},[96],{"categories":2452},[110],{"categories":2454},[301],{"categories":2456},[135],{"categories":2458},[110],{"categories":2460},[47],{"categories":2462},[99],{"categories":2464},[47],{"categories":2466},[47],{"categories":2468},[110],{"categories":2470},[47],{"categories":2472},[86],{"categories":2474},[96],{"categories":2476},[47],{"categories":2478},[],{"categories":2480},[96],{"categories":2482},[96],{"categories":2484},[96],{"categories":2486},[],{"categories":2488},[110],{"categories":2490},[47],{"categories":2492},[96],{"categories":2494},[86],{"categories":2496},[2446],{"categories":2498},[47],{"categories":2500},[86],{"categories":2502},[86],{"categories":2504},[47],{"categories":2506},[],{"categories":2508},[47],{"categories":2510},[96],{"categories":2512},[110],{"categories":2514},[],{"categories":2516},[96],{"categories":2518},[99],{"categories":2520},[135],{"categories":2522},[47],{"categories":2524},[96],{"categories":2526},[47],{"categories":2528},[96],{"categories":2530},[96],{"categories":2532},[47],{"categories":2534},[47],{"categories":2536},[135],{"categories":2538},[113],{"categories":2540},[47],{"categories":2542},[99],{"categories":2544},[110],{"categories":2546},[2547],"Coding Agents & Dev Productivity",{"categories":2549},[135],{"categories":2551},[190],{"categories":2553},[47],{"categories":2555},[47],{"categories":2557},[],{"categories":2559},[47],{"categories":2561},[47],{"categories":2563},[919],{"categories":2565},[],{"categories":2567},[47],{"categories":2569},[47],{"categories":2571},[266],{"categories":2573},[47],{"categories":2575},[135],{"categories":2577},[],{"categories":2579},[],{"categories":2581},[47],{"categories":2583},[],{"categories":2585},[96],{"categories":2587},[47],{"categories":2589},[96],{"categories":2591},[],{"categories":2593},[110],{"categories":2595},[110],{"categories":2597},[47],{"categories":2599},[113],{"categories":2601},[],{"categories":2603},[47],{"categories":2605},[47],{"categories":2607},[47],{"categories":2609},[113],{"categories":2611},[110],{"categories":2613},[96],{"categories":2615},[],{"categories":2617},[],{"categories":2619},[47],{"categories":2621},[47],{"categories":2623},[47],{"categories":2625},[47],{"categories":2627},[96],{"categories":2629},[96],{"categories":2631},[372],{"categories":2633},[110],{"categories":2635},[99],{"categories":2637},[110],{"categories":2639},[96],{"categories":2641},[135],{"categories":2643},[135],{"categories":2645},[96],{"categories":2647},[96],{"categories":2649},[47],{"categories":2651},[86],{"categories":2653},[2446],{"categories":2655},[99],{"categories":2657},[47,266],{"categories":2659},[113],{"categories":2661},[],{"categories":2663},[190],{"categories":2665},[96],{"categories":2667},[110],{"categories":2669},[86],{"categories":2671},[47],{"categories":2673},[96],{"categories":2675},[2676],"The Designer's Role & Craft",{"categories":2678},[190],{"categories":2680},[],{"categories":2682},[96],{"categories":2684},[47],{"categories":2686},[96],{"categories":2688},[96],{"categories":2690},[47],{"categories":2692},[223],{"categories":2694},[47],{"categories":2696},[110],{"categories":2698},[96],{"categories":2700},[47],{"categories":2702},[190],{"categories":2704},[47],{"categories":2706},[],{"categories":2708},[96],{"categories":2710},[190],{"categories":2712},[99],{"categories":2714},[47],{"categories":2716},[96],{"categories":2718},[47],{"categories":2720},[47],{"categories":2722},[47],{"categories":2724},[2725],"AI UX Patterns",{"categories":2727},[96],{"categories":2729},[96],{"categories":2731},[96],{"categories":2733},[47],{"categories":2735},[47],{"categories":2737},[96],{"categories":2739},[223],{"categories":2741},[113],{"categories":2743},[47],{"categories":2745},[96],{"categories":2747},[47],{"categories":2749},[1295],{"categories":2751},[],{"categories":2753},[223],{"categories":2755},[96],{"categories":2757},[135],{"categories":2759},[110],{"categories":2761},[47],{"categories":2763},[96],{"categories":2765},[],{"categories":2767},[],{"categories":2769},[47],{"categories":2771},[47],{"categories":2773},[96],{"categories":2775},[47],{"categories":2777},[96],{"categories":2779},[372],{"categories":2781},[190],{"categories":2783},[47],{"categories":2785},[135],{"categories":2787},[110],{"categories":2789},[47],{"categories":2791},[96],{"categories":2793},[96],{"categories":2795},[],{"categories":2797},[47],{"categories":2799},[],{"categories":2801},[47],{"categories":2803},[],{"categories":2805},[47],{"categories":2807},[47],{"categories":2809},[47],{"categories":2811},[96],{"categories":2813},[47],{"categories":2815},[110],{"categories":2817},[],{"categories":2819},[],{"categories":2821},[113],{"categories":2823},[124],{"categories":2825},[47],{"categories":2827},[47],{"categories":2829},[47],{"categories":2831},[113],{"categories":2833},[113],{"categories":2835},[47],{"categories":2837},[47],{"categories":2839},[135],{"categories":2841},[47],{"categories":2843},[47],{"categories":2845},[47],{"categories":2847},[96],{"categories":2849},[47],{"categories":2851},[47],{"categories":2853},[96],{"categories":2855},[47],{"categories":2857},[47],{"categories":2859},[47],{"categories":2861},[96],{"categories":2863},[],{"categories":2865},[47],{"categories":2867},[],{"categories":2869},[47],{"categories":2871},[47],{"categories":2873},[266],{"categories":2875},[47],{"categories":2877},[],{"categories":2879},[],{"categories":2881},[190],{"categories":2883},[948],{"categories":2885},[96],{"categories":2887},[86],{"categories":2889},[2676],{"categories":2891},[],{"categories":2893},[],{"categories":2895},[47],{"categories":2897},[],{"categories":2899},[],{"categories":2901},[110],{"categories":2903},[135],{"categories":2905},[223],{"categories":2907},[113],{"categories":2909},[96],{"categories":2911},[91],{"categories":2913},[47],{"categories":2915},[47],{"categories":2917},[91],{"categories":2919},[],{"categories":2921},[190],{"categories":2923},[99],{"categories":2925},[47],{"categories":2927},[47],{"categories":2929},[96],{"categories":2931},[91],{"categories":2933},[47],{"categories":2935},[47],{"categories":2937},[86],{"categories":2939},[47],{"categories":2941},[91],{"categories":2943},[47],{"categories":2945},[],{"categories":2947},[86],{"categories":2949},[47],{"categories":2951},[223],{"categories":2953},[47],{"categories":2955},[110],{"categories":2957},[96],{"categories":2959},[135],{"categories":2961},[47],{"categories":2963},[110],{"categories":2965},[47],{"categories":2967},[47],{"categories":2969},[47],{"categories":2971},[47],{"categories":2973},[91],{"categories":2975},[47],{"categories":2977},[47],{"categories":2979},[47],{"categories":2981},[96],{"categories":2983},[47],{"categories":2985},[47],{"categories":2987},[47],{"categories":2989},[],{"categories":2991},[47],{"categories":2993},[110],{"categories":2995},[86],{"categories":2997},[47],{"categories":2999},[47],{"categories":3001},[190],{"categories":3003},[47],{"categories":3005},[],{"categories":3007},[47],{"categories":3009},[457],{"categories":3011},[96],{"categories":3013},[91],{"categories":3015},[47],{"categories":3017},[135],{"categories":3019},[47],{"categories":3021},[47],{"categories":3023},[],{"categories":3025},[91],{"categories":3027},[91],{"categories":3029},[47],{"categories":3031},[47],{"categories":3033},[99],{"categories":3035},[47],{"categories":3037},[47],{"categories":3039},[47],{"categories":3041},[47],{"categories":3043},[110],{"categories":3045},[113],{"categories":3047},[110],{"categories":3049},[47],{"categories":3051},[],{"categories":3053},[47],{"categories":3055},[110],{"categories":3057},[47],{"categories":3059},[110],{"categories":3061},[96],{"categories":3063},[572],{"categories":3065},[],{"categories":3067},[],{"categories":3069},[47],{"categories":3071},[135],{"categories":3073},[],{"categories":3075},[266],{"categories":3077},[47],{"categories":3079},[47],{"categories":3081},[47],{"categories":3083},[190],{"categories":3085},[908],{"categories":3087},[],{"categories":3089},[47],{"categories":3091},[47],{"categories":3093},[47],{"categories":3095},[110],{"categories":3097},[47],{"categories":3099},[47],{"categories":3101},[47],{"categories":3103},[47],{"categories":3105},[47,266],{"categories":3107},[47],{"categories":3109},[47],{"categories":3111},[190],{"categories":3113},[96],{"categories":3115},[],{"categories":3117},[96],{"categories":3119},[96],{"categories":3121},[47],{"categories":3123},[47],{"categories":3125},[47],{"categories":3127},[47],{"categories":3129},[47],{"categories":3131},[113],{"categories":3133},[47],{"categories":3135},[47],{"categories":3137},[2725],{"categories":3139},[86],{"categories":3141},[47],{"categories":3143},[113],{"categories":3145},[86],{"categories":3147},[110],{"categories":3149},[190],{"categories":3151},[96],{"categories":3153},[47],{"categories":3155},[47],{"categories":3157},[],{"categories":3159},[91],{"categories":3161},[47],{"categories":3163},[47],{"categories":3165},[135],{"categories":3167},[47],{"categories":3169},[47],{"categories":3171},[47],{"categories":3173},[96],{"categories":3175},[47],{"categories":3177},[47],{"categories":3179},[190],{"categories":3181},[47],{"categories":3183},[91],{"categories":3185},[],{"categories":3187},[266],{"categories":3189},[99],{"categories":3191},[47],{"categories":3193},[372],{"categories":3195},[190],{"categories":3197},[190],{"categories":3199},[110],{"categories":3201},[96],{"categories":3203},[47],{"categories":3205},[91],{"categories":3207},[135],{"categories":3209},[47],{"categories":3211},[47],{"categories":3213},[47],{"categories":3215},[190],{"categories":3217},[96],{"categories":3219},[47],{"categories":3221},[96],{"categories":3223},[47],{"categories":3225},[96],{"categories":3227},[47],{"categories":3229},[526],{"categories":3231},[47],{"categories":3233},[96],{"categories":3235},[],{"categories":3237},[47],{"categories":3239},[47],{"categories":3241},[47],{"categories":3243},[47],{"categories":3245},[96],{"categories":3247},[],{"categories":3249},[],{"categories":3251},[47],{"categories":3253},[47],{"categories":3255},[96],{"categories":3257},[47],{"categories":3259},[47],{"categories":3261},[47],{"categories":3263},[110],{"categories":3265},[47],{"categories":3267},[47],{"categories":3269},[96],{"categories":3271},[47],{"categories":3273},[47],{"categories":3275},[47],{"categories":3277},[47],{"categories":3279},[47],{"categories":3281},[],{"categories":3283},[110],{"categories":3285},[113],{"categories":3287},[47],{"categories":3289},[96],{"categories":3291},[96],{"categories":3293},[47],{"categories":3295},[47],{"categories":3297},[],{"categories":3299},[],{"categories":3301},[47],{"categories":3303},[47],{"categories":3305},[47],{"categories":3307},[135],{"categories":3309},[113],{"categories":3311},[],{"categories":3313},[47],{"categories":3315},[190],{"categories":3317},[47],{"categories":3319},[47],{"categories":3321},[266],{"categories":3323},[1935],{"categories":3325},[47],{"categories":3327},[135],{"categories":3329},[110],{"categories":3331},[47],{"categories":3333},[110],{"categories":3335},[110],{"categories":3337},[47],{"categories":3339},[47],{"categories":3341},[110],{"categories":3343},[135],{"categories":3345},[135],{"categories":3347},[266],{"categories":3349},[96],{"categories":3351},[],{"categories":3353},[135],{"categories":3355},[91],{"categories":3357},[47],{"categories":3359},[96],{"categories":3361},[86],{"categories":3363},[110],{"categories":3365},[47],{"categories":3367},[91],{"categories":3369},[135],{"categories":3371},[],{"categories":3373},[47],{"categories":3375},[110],{"categories":3377},[47],{"categories":3379},[110],{"categories":3381},[113],{"categories":3383},[47],{"categories":3385},[135],{"categories":3387},[47],{"categories":3389},[110],{"categories":3391},[96],{"categories":3393},[96],{"categories":3395},[135],{"categories":3397},[96],{"categories":3399},[266],{"categories":3401},[96],{"categories":3403},[47],{"categories":3405},[47],{"categories":3407},[47],{"categories":3409},[47],{"categories":3411},[47],{"categories":3413},[47],{"categories":3415},[110],{"categories":3417},[47],{"categories":3419},[],{"categories":3421},[96],{"categories":3423},[91],{"categories":3425},[110],{"categories":3427},[],{"categories":3429},[],{"categories":3431},[47],{"categories":3433},[96],{"categories":3435},[47],{"categories":3437},[47],{"categories":3439},[47],{"categories":3441},[3442],"Frameworks & Tooling",{"categories":3444},[47],{"categories":3446},[47],{"categories":3448},[110],{"categories":3450},[47],{"categories":3452},[47],{"categories":3454},[],{"categories":3456},[113],{"categories":3458},[113],{"categories":3460},[47],{"categories":3462},[86],{"categories":3464},[47],{"categories":3466},[96],{"categories":3468},[47],{"categories":3470},[190],{"categories":3472},[],{"categories":3474},[1935],{"categories":3476},[47],{"categories":3478},[110],{"categories":3480},[47],{"categories":3482},[266],{"categories":3484},[266],{"categories":3486},[],{"categories":3488},[47],{"categories":3490},[96],{"categories":3492},[96],{"categories":3494},[47],{"categories":3496},[47],{"categories":3498},[135],{"categories":3500},[96],{"categories":3502},[135],{"categories":3504},[47],{"categories":3506},[96],{"categories":3508},[],{"categories":3510},[190],{"categories":3512},[47],{"categories":3514},[47],{"categories":3516},[],{"categories":3518},[47],{"categories":3520},[47],{"categories":3522},[96],{"categories":3524},[47],{"categories":3526},[47],{"categories":3528},[47],{"categories":3530},[],{"categories":3532},[91],{"categories":3534},[110],{"categories":3536},[47],{"categories":3538},[110],{"categories":3540},[266],{"categories":3542},[47],{"categories":3544},[47],{"categories":3546},[47],{"categories":3548},[110],{"categories":3550},[47],{"categories":3552},[91],{"categories":3554},[47],{"categories":3556},[1935],{"categories":3558},[],{"categories":3560},[96],{"categories":3562},[86],{"categories":3564},[47],{"categories":3566},[86],{"categories":3568},[47],{"categories":3570},[],{"categories":3572},[96],{"categories":3574},[47],{"categories":3576},[47],{"categories":3578},[3579],"AI Design Tooling",{"categories":3581},[190],{"categories":3583},[47],{"categories":3585},[47],{"categories":3587},[110],{"categories":3589},[190],{"categories":3591},[47],{"categories":3593},[47],{"categories":3595},[110],{"categories":3597},[96],{"categories":3599},[135],{"categories":3601},[99],{"categories":3603},[110],{"categories":3605},[47],{"categories":3607},[47],{"categories":3609},[47],{"categories":3611},[96],{"categories":3613},[47],{"categories":3615},[],{"categories":3617},[96],{"categories":3619},[47],{"categories":3621},[47],{"categories":3623},[96],{"categories":3625},[47],{"categories":3627},[47],{"categories":3629},[47],{"categories":3631},[96],{"categories":3633},[],{"categories":3635},[96],{"categories":3637},[3442],{"categories":3639},[47],{"categories":3641},[47],{"categories":3643},[96],{"categories":3645},[96],{"categories":3647},[110],{"categories":3649},[110],{"categories":3651},[47],{"categories":3653},[47],{"categories":3655},[],{"categories":3657},[110],{"categories":3659},[47],{"categories":3661},[47],{"categories":3663},[96],{"categories":3665},[91],{"categories":3667},[47],{"categories":3669},[],{"categories":3671},[47],{"categories":3673},[47],{"categories":3675},[2446],{"categories":3677},[],{"categories":3679},[47],{"categories":3681},[47],{"categories":3683},[47],{"categories":3685},[47],{"categories":3687},[190],{"categories":3689},[47],{"categories":3691},[],{"categories":3693},[47],{"categories":3695},[47],{"categories":3697},[47],{"categories":3699},[47],{"categories":3701},[223],{"categories":3703},[135],{"categories":3705},[47],{"categories":3707},[47],{"categories":3709},[1935],{"categories":3711},[47],{"categories":3713},[86],{"categories":3715},[47],{"categories":3717},[47],{"categories":3719},[113],{"categories":3721},[96],{"categories":3723},[47],{"categories":3725},[47],{"categories":3727},[135],{"categories":3729},[96],{"categories":3731},[99],{"categories":3733},[],{"categories":3735},[47],{"categories":3737},[47],{"categories":3739},[190],{"categories":3741},[47],{"categories":3743},[223],{"categories":3745},[96],{"categories":3747},[47],{"categories":3749},[96],{"categories":3751},[47],{"categories":3753},[],{"categories":3755},[],{"categories":3757},[],{"categories":3759},[86],{"categories":3761},[135],{"categories":3763},[96],{"categories":3765},[47],{"categories":3767},[47],{"categories":3769},[47],{"categories":3771},[47],{"categories":3773},[47],{"categories":3775},[395],{"categories":3777},[190],{"categories":3779},[96],{"categories":3781},[47],{"categories":3783},[],{"categories":3785},[47],{"categories":3787},[96],{"categories":3789},[96],{"categories":3791},[],{"categories":3793},[47],{"categories":3795},[96],{"categories":3797},[47],{"categories":3799},[],{"categories":3801},[99],{"categories":3803},[47],{"categories":3805},[47],{"categories":3807},[47],{"categories":3809},[135],{"categories":3811},[190],{"categories":3813},[96],{"categories":3815},[190],{"categories":3817},[96],{"categories":3819},[47],{"categories":3821},[91],{"categories":3823},[],{"categories":3825},[],{"categories":3827},[47],{"categories":3829},[47],{"categories":3831},[47],{"categories":3833},[86],{"categories":3835},[47],{"categories":3837},[96],{"categories":3839},[135],{"categories":3841},[],{"categories":3843},[190],{"categories":3845},[96],{"categories":3847},[],{"categories":3849},[110],{"categories":3851},[47],{"categories":3853},[110],{"categories":3855},[190],{"categories":3857},[110],{"categories":3859},[47],{"categories":3861},[],{"categories":3863},[47],{"categories":3865},[47],{"categories":3867},[96],{"categories":3869},[],{"categories":3871},[47],{"categories":3873},[47],{"categories":3875},[223],{"categories":3877},[47],{"categories":3879},[47],{"categories":3881},[47],{"categories":3883},[266],{"categories":3885},[110],{"categories":3887},[47],{"categories":3889},[96],{"categories":3891},[],{"categories":3893},[47],{"categories":3895},[96],{"categories":3897},[47],{"categories":3899},[86],{"categories":3901},[526],{"categories":3903},[47],{"categories":3905},[47],{"categories":3907},[47],{"categories":3909},[96],{"categories":3911},[47],{"categories":3913},[96],{"categories":3915},[47],{"categories":3917},[47],{"categories":3919},[47],{"categories":3921},[96],{"categories":3923},[99],{"categories":3925},[47],{"categories":3927},[47],{"categories":3929},[],{"categories":3931},[47],{"categories":3933},[47],{"categories":3935},[86],{"categories":3937},[47],{"categories":3939},[91],{"categories":3941},[110],{"categories":3943},[190],{"categories":3945},[],{"categories":3947},[47],{"categories":3949},[],{"categories":3951},[96],{"categories":3953},[47],{"categories":3955},[96],{"categories":3957},[],{"categories":3959},[96],{"categories":3961},[47],{"categories":3963},[110],{"categories":3965},[190],{"categories":3967},[135],{"categories":3969},[47],{"categories":3971},[135],{"categories":3973},[96],{"categories":3975},[47],{"categories":3977},[190],{"categories":3979},[47],{"categories":3981},[],{"categories":3983},[47],{"categories":3985},[124],{"categories":3987},[96],{"categories":3989},[47],{"categories":3991},[190],{"categories":3993},[135],{"categories":3995},[47],{"categories":3997},[91],{"categories":3999},[110],{"categories":4001},[47],{"categories":4003},[47],{"categories":4005},[47],{"categories":4007},[47],{"categories":4009},[47],{"categories":4011},[135],{"categories":4013},[110],{"categories":4015},[223],{"categories":4017},[],{"categories":4019},[],{"categories":4021},[113],{"categories":4023},[457],{"categories":4025},[47],{"categories":4027},[96],{"categories":4029},[47,110],{"categories":4031},[135],{"categories":4033},[47],{"categories":4035},[47],{"categories":4037},[47],{"categories":4039},[47],{"categories":4041},[47],{"categories":4043},[47],{"categories":4045},[47],{"categories":4047},[96],{"categories":4049},[47],{"categories":4051},[47],{"categories":4053},[96],{"categories":4055},[47],{"categories":4057},[47],{"categories":4059},[47],{"categories":4061},[],{"categories":4063},[47],{"categories":4065},[1295],{"categories":4067},[110],{"categories":4069},[190],{"categories":4071},[47],{"categories":4073},[47],{"categories":4075},[47],{"categories":4077},[47],{"categories":4079},[113],{"categories":4081},[96],{"categories":4083},[223],{"categories":4085},[266],{"categories":4087},[],{"categories":4089},[110],{"categories":4091},[47],{"categories":4093},[91],{"categories":4095},[96],{"categories":4097},[47],{"categories":4099},[86],{"categories":4101},[96],{"categories":4103},[47],{"categories":4105},[96],{"categories":4107},[96],{"categories":4109},[99],{"categories":4111},[110],{"categories":4113},[47],{"categories":4115},[47],{"categories":4117},[],{"categories":4119},[],{"categories":4121},[],{"categories":4123},[266],{"categories":4125},[47],{"categories":4127},[135],{"categories":4129},[47],{"categories":4131},[47],{"categories":4133},[47],{"categories":4135},[47],{"categories":4137},[110],{"categories":4139},[47],{"categories":4141},[],{"categories":4143},[47],{"categories":4145},[113],{"categories":4147},[91],{"categories":4149},[96],{"categories":4151},[47],{"categories":4153},[],{"categories":4155},[47],{"categories":4157},[96],{"categories":4159},[110],{"categories":4161},[47],{"categories":4163},[47],{"categories":4165},[47],{"categories":4167},[266],{"categories":4169},[],{"categories":4171},[190],{"categories":4173},[190],{"categories":4175},[47],{"categories":4177},[96],{"categories":4179},[],{"categories":4181},[110],{"categories":4183},[47],{"categories":4185},[190],{"categories":4187},[47],{"categories":4189},[91],{"categories":4191},[96],{"categories":4193},[47],{"categories":4195},[],{"categories":4197},[135],{"categories":4199},[47],{"categories":4201},[47],{"categories":4203},[47],{"categories":4205},[47],{"categories":4207},[47],{"categories":4209},[190],{"categories":4211},[96],{"categories":4213},[135],{"categories":4215},[],{"categories":4217},[96],{"categories":4219},[47],{"categories":4221},[91],{"categories":4223},[96],{"categories":4225},[190],{"categories":4227},[47],{"categories":4229},[47],{"categories":4231},[47],{"categories":4233},[457],{"categories":4235},[47],{"categories":4237},[96],{"categories":4239},[],{"categories":4241},[47],{"categories":4243},[47],{"categories":4245},[266],{"categories":4247},[135],{"categories":4249},[113],{"categories":4251},[572],{"categories":4253},[113],{"categories":4255},[113],{"categories":4257},[47],{"categories":4259},[],{"categories":4261},[],{"categories":4263},[],{"categories":4265},[96],{"categories":4267},[47],{"categories":4269},[47],{"categories":4271},[96],{"categories":4273},[96],{"categories":4275},[110],{"categories":4277},[47],{"categories":4279},[428],{"categories":4281},[110],{"categories":4283},[47],{"categories":4285},[96],{"categories":4287},[47],{"categories":4289},[47],{"categories":4291},[47],{"categories":4293},[91],{"categories":4295},[47],{"categories":4297},[47],{"categories":4299},[47],{"categories":4301},[47],{"categories":4303},[96],{"categories":4305},[99],{"categories":4307},[47],{"categories":4309},[],{"categories":4311},[],{"categories":4313},[47],{"categories":4315},[],{"categories":4317},[47],{"categories":4319},[96],{"categories":4321},[190],{"categories":4323},[47],{"categories":4325},[47],{"categories":4327},[96],{"categories":4329},[],{"categories":4331},[96],{"categories":4333},[47],{"categories":4335},[47],{"categories":4337},[99],{"categories":4339},[47],{"categories":4341},[190],{"categories":4343},[47],{"categories":4345},[96],{"categories":4347},[91],{"categories":4349},[47],{"categories":4351},[47],{"categories":4353},[47],{"categories":4355},[223],{"categories":4357},[96],{"categories":4359},[47],{"categories":4361},[47],{"categories":4363},[47],{"categories":4365},[908],{"categories":4367},[47],{"categories":4369},[96],{"categories":4371},[47],{"categories":4373},[110],{"categories":4375},[47],{"categories":4377},[526],{"categories":4379},[190],{"categories":4381},[],{"categories":4383},[47],{"categories":4385},[47],{"categories":4387},[135],{"categories":4389},[457],{"categories":4391},[96],{"categories":4393},[47],{"categories":4395},[],{"categories":4397},[135],{"categories":4399},[372],{"categories":4401},[96],{"categories":4403},[96],{"categories":4405},[96],{"categories":4407},[47],{"categories":4409},[47],{"categories":4411},[96],{"categories":4413},[47],{"categories":4415},[],{"categories":4417},[91],{"categories":4419},[47],{"categories":4421},[190],{"categories":4423},[91],{"categories":4425},[96],{"categories":4427},[110],{"categories":4429},[],{"categories":4431},[110],{"categories":4433},[47],{"categories":4435},[47],{"categories":4437},[86],{"categories":4439},[47],{"categories":4441},[135],{"categories":4443},[266],{"categories":4445},[124],{"categories":4447},[96],{"categories":4449},[96],{"categories":4451},[47],{"categories":4453},[47],{"categories":4455},[96],{"categories":4457},[47],{"categories":4459},[86],{"categories":4461},[],{"categories":4463},[96],{"categories":4465},[47],{"categories":4467},[47],{"categories":4469},[47],{"categories":4471},[96],{"categories":4473},[47],{"categories":4475},[],{"categories":4477},[47],{"categories":4479},[],{"categories":4481},[190],{"categories":4483},[96],{"categories":4485},[96],{"categories":4487},[47,91],{"categories":4489},[96],{"categories":4491},[47],{"categories":4493},[],{"categories":4495},[86],{"categories":4497},[113],{"categories":4499},[91],{"categories":4501},[96],{"categories":4503},[47],{"categories":4505},[110],{"categories":4507},[47],{"categories":4509},[47],{"categories":4511},[96],{"categories":4513},[47],{"categories":4515},[47],{"categories":4517},[47],{"categories":4519},[135],{"categories":4521},[1295],{"categories":4523},[96],{"categories":4525},[47],{"categories":4527},[],{"categories":4529},[],{"categories":4531},[47],{"categories":4533},[96],{"categories":4535},[47],{"categories":4537},[47],{"categories":4539},[266],{"categories":4541},[],{"categories":4543},[47],{"categories":4545},[96],{"categories":4547},[124],{"categories":4549},[96],{"categories":4551},[47],{"categories":4553},[457],{"categories":4555},[],{"categories":4557},[395],{"categories":4559},[47],{"categories":4561},[96],{"categories":4563},[47],{"categories":4565},[47],{"categories":4567},[47],{"categories":4569},[223],{"categories":4571},[47],{"categories":4573},[96],{"categories":4575},[47],{"categories":4577},[113],{"categories":4579},[99],{"categories":4581},[96],{"categories":4583},[47],{"categories":4585},[457],{"categories":4587},[47],{"categories":4589},[266],{"categories":4591},[91],{"categories":4593},[],{"categories":4595},[47],{"categories":4597},[47],{"categories":4599},[47],{"categories":4601},[223],{"categories":4603},[190],{"categories":4605},[47],{"categories":4607},[47],{"categories":4609},[47],{"categories":4611},[],{"categories":4613},[223],{"categories":4615},[135],{"categories":4617},[47],{"categories":4619},[47],{"categories":4621},[47],{"categories":4623},[572],{"categories":4625},[86],{"categories":4627},[47],{"categories":4629},[99],{"categories":4631},[47],{"categories":4633},[47],{"categories":4635},[],{"categories":4637},[],{"categories":4639},[190],{"categories":4641},[47],{"categories":4643},[47],{"categories":4645},[113],{"categories":4647},[223],{"categories":4649},[96],{"categories":4651},[47],{"categories":4653},[47],{"categories":4655},[223],{"categories":4657},[91],{"categories":4659},[135],{"categories":4661},[47],{"categories":4663},[],{"categories":4665},[47],{"categories":4667},[47],{"categories":4669},[],{"categories":4671},[47],{"categories":4673},[47],{"categories":4675},[599],{"categories":4677},[47],{"categories":4679},[47],{"categories":4681},[96],{"categories":4683},[110],{"categories":4685},[457],{"categories":4687},[47],{"categories":4689},[91],{"categories":4691},[47],{"categories":4693},[47],{"categories":4695},[],{"categories":4697},[47,110],{"categories":4699},[135],{"categories":4701},[96],{"categories":4703},[110],{"categories":4705},[96],{"categories":4707},[948],{"categories":4709},[110],{"categories":4711},[110],{"categories":4713},[96],{"categories":4715},[47],{"categories":4717},[86],{"categories":4719},[47],{"categories":4721},[],{"categories":4723},[],{"categories":4725},[96],{"categories":4727},[47],{"categories":4729},[110],{"categories":4731},[96],{"categories":4733},[47],{"categories":4735},[86],{"categories":4737},[110],{"categories":4739},[110],{"categories":4741},[47],{"categories":4743},[223],{"categories":4745},[47],{"categories":4747},[47],{"categories":4749},[110],{"categories":4751},[47],{"categories":4753},[],{"categories":4755},[47],{"categories":4757},[47],{"categories":4759},[190,47],{"categories":4761},[266],{"categories":4763},[86],{"categories":4765},[47],{"categories":4767},[],{"categories":4769},[47],{"categories":4771},[47],{"categories":4773},[91],{"categories":4775},[47],{"categories":4777},[91],{"categories":4779},[47],{"categories":4781},[47],{"categories":4783},[372],{"categories":4785},[47],{"categories":4787},[91],{"categories":4789},[110],{"categories":4791},[113],{"categories":4793},[96],{"categories":4795},[47],{"categories":4797},[110],{"categories":4799},[47],{"categories":4801},[47],{"categories":4803},[135],{"categories":4805},[47],{"categories":4807},[223],{"categories":4809},[190],{"categories":4811},[47],{"categories":4813},[47],{"categories":4815},[99],{"categories":4817},[47],{"categories":4819},[47],{"categories":4821},[86],{"categories":4823},[47],{"categories":4825},[96],{"categories":4827},[96],{"categories":4829},[110],{"categories":4831},[47],{"categories":4833},[135],{"categories":4835},[110],{"categories":4837},[110],{"categories":4839},[47],{"categories":4841},[47],{"categories":4843},[],{"categories":4845},[],{"categories":4847},[113],{"categories":4849},[47],{"categories":4851},[110],{"categories":4853},[47],{"categories":4855},[190],{"categories":4857},[457],{"categories":4859},[395],{"categories":4861},[372],{"categories":4863},[47],{"categories":4865},[47],{"categories":4867},[110],{"categories":4869},[47],{"categories":4871},[113],{"categories":4873},[47],{"categories":4875},[47],{"categories":4877},[47],{"categories":4879},[47],{"categories":4881},[47],{"categories":4883},[47],{"categories":4885},[47],{"categories":4887},[96],{"categories":4889},[86],{"categories":4891},[99],{"categories":4893},[96],{"categories":4895},[47,91],{"categories":4897},[],{"categories":4899},[190],{"categories":4901},[],{"categories":4903},[99],{"categories":4905},[47],{"categories":4907},[135],{"categories":4909},[86],{"categories":4911},[47],{"categories":4913},[86],{"categories":4915},[96],{"categories":4917},[113],{"categories":4919},[96],{"categories":4921},[91],{"categories":4923},[99],{"categories":4925},[47],{"categories":4927},[96],{"categories":4929},[47],{"categories":4931},[99],{"categories":4933},[47],{"categories":4935},[47],{"categories":4937},[91],{"categories":4939},[96],{"categories":4941},[110],{"categories":4943},[223],{"categories":4945},[47],{"categories":4947},[47],{"categories":4949},[],{"categories":4951},[135],{"categories":4953},[47],{"categories":4955},[47],{"categories":4957},[47],{"categories":4959},[47],{"categories":4961},[47],{"categories":4963},[47],{"categories":4965},[110],{"categories":4967},[135],{"categories":4969},[110],{"categories":4971},[110],{"categories":4973},[47],{"categories":4975},[47],{"categories":4977},[47],{"categories":4979},[47],{"categories":4981},[395],{"categories":4983},[47],{"categories":4985},[96],{"categories":4987},[96],{"categories":4989},[135],{"categories":4991},[47],{"categories":4993},[47],{"categories":4995},[47],{"categories":4997},[96],{"categories":4999},[47],{"categories":5001},[47],{"categories":5003},[47],{"categories":5005},[3442],{"categories":5007},[5008],"Clinical AI",{"categories":5010},[190],{"categories":5012},[47],{"categories":5014},[47],{"categories":5016},[47],{"categories":5018},[47],{"categories":5020},[266],{"categories":5022},[2725],{"categories":5024},[47],{"categories":5026},[99],{"categories":5028},[190],{"categories":5030},[47],{"categories":5032},[96],{"categories":5034},[47],{"categories":5036},[47],{"categories":5038},[135],{"categories":5040},[47],{"categories":5042},[96],{"categories":5044},[110],{"categories":5046},[223],{"categories":5048},[47],{"categories":5050},[47],{"categories":5052},[91],{"categories":5054},[47],{"categories":5056},[47],{"categories":5058},[526],{"categories":5060},[47],{"categories":5062},[],{"categories":5064},[96],{"categories":5066},[47],{"categories":5068},[110],{"categories":5070},[86],{"categories":5072},[47],{"categories":5074},[],{"categories":5076},[],{"categories":5078},[47],{"categories":5080},[],{"categories":5082},[91],{"categories":5084},[47],{"categories":5086},[47],{"categories":5088},[96],{"categories":5090},[96],{"categories":5092},[47],{"categories":5094},[135],{"categories":5096},[135],{"categories":5098},[135],{"categories":5100},[135],{"categories":5102},[],{"categories":5104},[86],{"categories":5106},[96],{"categories":5108},[135],{"categories":5110},[47],{"categories":5112},[599],{"categories":5114},[99],{"categories":5116},[96],{"categories":5118},[47],{"categories":5120},[86],{"categories":5122},[47],{"categories":5124},[96],{"categories":5126},[47],{"categories":5128},[47],{"categories":5130},[47],{"categories":5132},[47],{"categories":5134},[47],{"categories":5136},[47,96],{"categories":5138},[96],{"categories":5140},[266],{"categories":5142},[135],{"categories":5144},[96],{"categories":5146},[135],{"categories":5148},[96],{"categories":5150},[47],{"categories":5152},[],{"categories":5154},[135],{"categories":5156},[223],{"categories":5158},[86],{"categories":5160},[47],{"categories":5162},[47],{"categories":5164},[],{"categories":5166},[110],{"categories":5168},[],{"categories":5170},[86],{"categories":5172},[96],{"categories":5174},[135],{"categories":5176},[47],{"categories":5178},[135],{"categories":5180},[86],{"categories":5182},[135],{"categories":5184},[135],{"categories":5186},[],{"categories":5188},[91],{"categories":5190},[96],{"categories":5192},[135],{"categories":5194},[135],{"categories":5196},[135],{"categories":5198},[135],{"categories":5200},[135],{"categories":5202},[135],{"categories":5204},[135],{"categories":5206},[135],{"categories":5208},[135],{"categories":5210},[135],{"categories":5212},[113],{"categories":5214},[86],{"categories":5216},[47],{"categories":5218},[47],{"categories":5220},[96],{"categories":5222},[96],{"categories":5224},[],{"categories":5226},[47],{"categories":5228},[47,86],{"categories":5230},[],{"categories":5232},[96],{"categories":5234},[47],{"categories":5236},[135],{"categories":5238},[96],{"categories":5240},[96],{"categories":5242},[948],{"categories":5244},[47],{"categories":5246},[47],{"categories":5248},[47],{"categories":5250},[47],{"categories":5252},[99],{"categories":5254},[47],{"categories":5256},[47],{"categories":5258},[372],{"categories":5260},[47],{"categories":5262},[47],{"categories":5264},[96],{"categories":5266},[47],{"categories":5268},[47],{"categories":5270},[47],{"categories":5272},[47],{"categories":5274},[91],{"categories":5276},[99],{"categories":5278},[96],{"categories":5280},[96],{"categories":5282},[],{"categories":5284},[96],{"categories":5286},[190],{"categories":5288},[135],{"categories":5290},[47],{"categories":5292},[],{"categories":5294},[47],{"categories":5296},[99],{"categories":5298},[99],{"categories":5300},[],{"categories":5302},[110],{"categories":5304},[47],{"categories":5306},[96],{"categories":5308},[190],{"categories":5310},[47],{"categories":5312},[47],{"categories":5314},[],{"categories":5316},[47],{"categories":5318},[47],{"categories":5320},[],{"categories":5322},[223],{"categories":5324},[47],{"categories":5326},[96],{"categories":5328},[],{"categories":5330},[],{"categories":5332},[135],{"categories":5334},[86],{"categories":5336},[47],{"categories":5338},[47],{"categories":5340},[91],{"categories":5342},[47],{"categories":5344},[47],{"categories":5346},[96],{"categories":5348},[47],{"categories":5350},[91],{"categories":5352},[91],{"categories":5354},[190],{"categories":5356},[],{"categories":5358},[47],{"categories":5360},[135],{"categories":5362},[],{"categories":5364},[47],{"categories":5366},[47],{"categories":5368},[190],{"categories":5370},[47],{"categories":5372},[47],{"categories":5374},[223],{"categories":5376},[47],{"categories":5378},[266],{"categories":5380},[],{"categories":5382},[96],{"categories":5384},[47],{"categories":5386},[223],{"categories":5388},[110],{"categories":5390},[],{"categories":5392},[47],{"categories":5394},[],{"categories":5396},[96],{"categories":5398},[190],{"categories":5400},[110],{"categories":5402},[],{"categories":5404},[3442],{"categories":5406},[91],{"categories":5408},[86],{"categories":5410},[47],{"categories":5412},[96],{"categories":5414},[113],{"categories":5416},[96],{"categories":5418},[47],{"categories":5420},[190],{"categories":5422},[47],{"categories":5424},[47],{"categories":5426},[110],{"categories":5428},[],{"categories":5430},[],{"categories":5432},[47],{"categories":5434},[86],{"categories":5436},[47],{"categories":5438},[223],{"categories":5440},[],{"categories":5442},[96],{"categories":5444},[96],{"categories":5446},[47],{"categories":5448},[96],{"categories":5450},[47],{"categories":5452},[135],{"categories":5454},[47],{"categories":5456},[110],{"categories":5458},[47],{"categories":5460},[47],{"categories":5462},[96],{"categories":5464},[99],{"categories":5466},[47],{"categories":5468},[47],{"categories":5470},[47],{"categories":5472},[47],{"categories":5474},[96],{"categories":5476},[47],{"categories":5478},[99],{"categories":5480},[223],{"categories":5482},[135],{"categories":5484},[],{"categories":5486},[223],{"categories":5488},[47],{"categories":5490},[],{"categories":5492},[110],{"categories":5494},[96],{"categories":5496},[],{"categories":5498},[47],{"categories":5500},[47],{"categories":5502},[47],{"categories":5504},[47],{"categories":5506},[47],{"categories":5508},[96],{"categories":5510},[91],{"categories":5512},[86],{"categories":5514},[47],{"categories":5516},[47],{"categories":5518},[96],{"categories":5520},[47],{"categories":5522},[190],{"categories":5524},[110],{"categories":5526},[110],{"categories":5528},[47],{"categories":5530},[113],{"categories":5532},[96],{"categories":5534},[47],{"categories":5536},[47],{"categories":5538},[96],{"categories":5540},[47],{"categories":5542},[47],{"categories":5544},[47],{"categories":5546},[96],{"categories":5548},[91],{"categories":5550},[47],{"categories":5552},[190],{"categories":5554},[110],{"categories":5556},[96],{"categories":5558},[47],{"categories":5560},[99],{"categories":5562},[47],{"categories":5564},[99],{"categories":5566},[96],{"categories":5568},[47],{"categories":5570},[47],{"categories":5572},[135],{"categories":5574},[47],{"categories":5576},[],{"categories":5578},[86],{"categories":5580},[47],{"categories":5582},[47],{"categories":5584},[47],{"categories":5586},[110],{"categories":5588},[110],{"categories":5590},[47],{"categories":5592},[110],{"categories":5594},[47],{"categories":5596},[96],{"categories":5598},[47],{"categories":5600},[47],{"categories":5602},[47],{"categories":5604},[47],{"categories":5606},[47],{"categories":5608},[],{"categories":5610},[47],{"categories":5612},[190],{"categories":5614},[96],{"categories":5616},[91],{"categories":5618},[135],{"categories":5620},[47],{"categories":5622},[96],{"categories":5624},[47],{"categories":5626},[96],{"categories":5628},[47],{"categories":5630},[47],{"categories":5632},[190],{"categories":5634},[96],{"categories":5636},[47],{"categories":5638},[223],{"categories":5640},[91],{"categories":5642},[47],{"categories":5644},[113],{"categories":5646},[47],{"categories":5648},[47],{"categories":5650},[135],{"categories":5652},[47],{"categories":5654},[47],{"categories":5656},[47],{"categories":5658},[47],{"categories":5660},[96],{"categories":5662},[266],{"categories":5664},[47],{"categories":5666},[110],{"categories":5668},[96],{"categories":5670},[113],{"categories":5672},[],{"categories":5674},[96],{"categories":5676},[110],{"categories":5678},[47],{"categories":5680},[47],{"categories":5682},[47],{"categories":5684},[2547],{"categories":5686},[47],{"categories":5688},[190],{"categories":5690},[301],{"categories":5692},[47],{"categories":5694},[47],{"categories":5696},[47],{"categories":5698},[47],{"categories":5700},[47],{"categories":5702},[86],{"categories":5704},[96],{"categories":5706},[47],{"categories":5708},[47],{"categories":5710},[110],{"categories":5712},[91],{"categories":5714},[47],{"categories":5716},[47],{"categories":5718},[110],{"categories":5720},[47],{"categories":5722},[],{"categories":5724},[96],{"categories":5726},[96],{"categories":5728},[47],{"categories":5730},[47],{"categories":5732},[47],{"categories":5734},[113],{"categories":5736},[],{"categories":5738},[135],{"categories":5740},[],{"categories":5742},[135],{"categories":5744},[47],{"categories":5746},[47],{"categories":5748},[47],{"categories":5750},[96],{"categories":5752},[47],{"categories":5754},[96],{"categories":5756},[96],{"categories":5758},[],{"categories":5760},[47],{"categories":5762},[135],{"categories":5764},[47],{"categories":5766},[],{"categories":5768},[47],{"categories":5770},[47],{"categories":5772},[],{"categories":5774},[47],{"categories":5776},[47],{"categories":5778},[190],{"categories":5780},[110],{"categories":5782},[96],{"categories":5784},[47],{"categories":5786},[47],{"categories":5788},[47],{"categories":5790},[47],{"categories":5792},[47],{"categories":5794},[223],{"categories":5796},[47],{"categories":5798},[47],{"categories":5800},[47],{"categories":5802},[86],{"categories":5804},[47],{"categories":5806},[47],{"categories":5808},[],{"categories":5810},[47],{"categories":5812},[47],{"categories":5814},[47],{"categories":5816},[],{"categories":5818},[96],{"categories":5820},[86],{"categories":5822},[47],{"categories":5824},[47],{"categories":5826},[47],{"categories":5828},[47],{"categories":5830},[135],{"categories":5832},[47],{"categories":5834},[110],{"categories":5836},[99],{"categories":5838},[96],{"categories":5840},[457],{"categories":5842},[47],{"categories":5844},[47],{"categories":5846},[47],{"categories":5848},[47],{"categories":5850},[110],{"categories":5852},[135],{"categories":5854},[190],{"categories":5856},[47],{"categories":5858},[47],{"categories":5860},[47],{"categories":5862},[47],{"categories":5864},[47],{"categories":5866},[47],{"categories":5868},[135],{"categories":5870},[47],{"categories":5872},[190],{"categories":5874},[47],{"categories":5876},[47],{"categories":5878},[135],{"categories":5880},[190],{"categories":5882},[47],{"categories":5884},[135],{"categories":5886},[47],{"categories":5888},[96],{"categories":5890},[96],{"categories":5892},[96],{"categories":5894},[47],{"categories":5896},[110],{"categories":5898},[135],{"categories":5900},[96],{"categories":5902},[96],{"categories":5904},[47],{"categories":5906},[110],{"categories":5908},[190],{"categories":5910},[47],{"categories":5912},[47],{"categories":5914},[96],{"categories":5916},[47],{"categories":5918},[],{"categories":5920},[96],{"categories":5922},[],{"categories":5924},[47],{"categories":5926},[47],{"categories":5928},[],{"categories":5930},[],{"categories":5932},[96],{"categories":5934},[91],{"categories":5936},[96],{"categories":5938},[5939],"Liability & Ethics",{"categories":5941},[47],{"categories":5943},[47],{"categories":5945},[47],{"categories":5947},[96],{"categories":5949},[86],{"categories":5951},[96],{"categories":5953},[91],{"categories":5955},[223],{"categories":5957},[47],{"categories":5959},[96],{"categories":5961},[47],{"categories":5963},[47],{"categories":5965},[47],{"categories":5967},[],{"categories":5969},[572],{"categories":5971},[96],{"categories":5973},[],{"categories":5975},[47],{"categories":5977},[86],{"categories":5979},[96],{"categories":5981},[47],{"categories":5983},[],{"categories":5985},[96],{"categories":5987},[47],{"categories":5989},[47],{"categories":5991},[110],{"categories":5993},[47],{"categories":5995},[135],{"categories":5997},[47],{"categories":5999},[47],{"categories":6001},[99],{"categories":6003},[47],{"categories":6005},[96],{"categories":6007},[47],{"categories":6009},[47],{"categories":6011},[47],{"categories":6013},[135],{"categories":6015},[96],{"categories":6017},[110],{"categories":6019},[190],{"categories":6021},[86],{"categories":6023},[47],{"categories":6025},[47],{"categories":6027},[47],{"categories":6029},[],{"categories":6031},[96],{"categories":6033},[96],{"categories":6035},[96],{"categories":6037},[457],{"categories":6039},[96],{"categories":6041},[190],{"categories":6043},[96],{"categories":6045},[266],{"categories":6047},[110],{"categories":6049},[135],{"categories":6051},[47],{"categories":6053},[190],{"categories":6055},[47],{"categories":6057},[86],{"categories":6059},[],{"categories":6061},[47],{"categories":6063},[96],{"categories":6065},[47],{"categories":6067},[47],{"categories":6069},[47],{"categories":6071},[47],{"categories":6073},[96],{"categories":6075},[47],{"categories":6077},[47],{"categories":6079},[190],{"categories":6081},[96],{"categories":6083},[],{"categories":6085},[96],{"categories":6087},[99],{"categories":6089},[47],{"categories":6091},[135],{"categories":6093},[96],{"categories":6095},[91],{"categories":6097},[],{"categories":6099},[47],{"categories":6101},[47],{"categories":6103},[99],{"categories":6105},[47],{"categories":6107},[96],{"categories":6109},[135],{"categories":6111},[86],{"categories":6113},[266],{"categories":6115},[47],{"categories":6117},[47],{"categories":6119},[47],{"categories":6121},[135],{"categories":6123},[91],{"categories":6125},[47],{"categories":6127},[190],{"categories":6129},[135],{"categories":6131},[266],{"categories":6133},[47],{"categories":6135},[96],{"categories":6137},[],{"categories":6139},[526],{"categories":6141},[],{"categories":6143},[47],{"categories":6145},[266],{"categories":6147},[47],{"categories":6149},[113],{"categories":6151},[47],{"categories":6153},[96],{"categories":6155},[96],{"categories":6157},[6158],"Design News & Tools",{"categories":6160},[47],{"categories":6162},[47],{"categories":6164},[135],{"categories":6166},[47],{"categories":6168},[47],{"categories":6170},[47],{"categories":6172},[86],{"categories":6174},[96],{"categories":6176},[47],{"categories":6178},[190],{"categories":6180},[96],{"categories":6182},[96],{"categories":6184},[190],{"categories":6186},[47],{"categories":6188},[47],{"categories":6190},[47],{"categories":6192},[457],{"categories":6194},[96],{"categories":6196},[47],{"categories":6198},[96],{"categories":6200},[47],{"categories":6202},[47],{"categories":6204},[457],{"categories":6206},[47],{"categories":6208},[223],{"categories":6210},[47],{"categories":6212},[96],{"categories":6214},[96],{"categories":6216},[],{"categories":6218},[47],{"categories":6220},[47],{"categories":6222},[47],{"categories":6224},[135],{"categories":6226},[47],{"categories":6228},[86],{"categories":6230},[],{"categories":6232},[47],{"categories":6234},[47],{"categories":6236},[47],{"categories":6238},[110],{"categories":6240},[599],{"categories":6242},[110],{"categories":6244},[190],{"categories":6246},[47],{"categories":6248},[47,96],{"categories":6250},[223,91],{"categories":6252},[110],{"categories":6254},[47],{"categories":6256},[47],{"categories":6258},[47],{"categories":6260},[47],{"categories":6262},[],{"categories":6264},[110],{"categories":6266},[96],{"categories":6268},[47],{"categories":6270},[47],{"categories":6272},[],{"categories":6274},[47],{"categories":6276},[110],{"categories":6278},[47],{"categories":6280},[110],{"categories":6282},[47],{"categories":6284},[],{"categories":6286},[96],{"categories":6288},[47],{"categories":6290},[91],{"categories":6292},[47],{"categories":6294},[135],{"categories":6296},[47],{"categories":6298},[],{"categories":6300},[47],{"categories":6302},[96],{"categories":6304},[47],{"categories":6306},[],{"categories":6308},[190],{"categories":6310},[47],{"categories":6312},[47],{"categories":6314},[96],{"categories":6316},[47],{"categories":6318},[47],{"categories":6320},[47],{"categories":6322},[86],{"categories":6324},[47],{"categories":6326},[96],{"categories":6328},[47],{"categories":6330},[],{"categories":6332},[47],{"categories":6334},[266],{"categories":6336},[223],{"categories":6338},[91],{"categories":6340},[91],{"categories":6342},[47],{"categories":6344},[86],{"categories":6346},[86],{"categories":6348},[47],{"categories":6350},[96],{"categories":6352},[47],{"categories":6354},[47],{"categories":6356},[47],{"categories":6358},[47],{"categories":6360},[110],{"categories":6362},[47],{"categories":6364},[86],{"categories":6366},[47],{"categories":6368},[47],{"categories":6370},[96],{"categories":6372},[47],{"categories":6374},[223],{"categories":6376},[47],{"categories":6378},[135],{"categories":6380},[47],{"categories":6382},[47],{"categories":6384},[96],{"categories":6386},[99],{"categories":6388},[47],{"categories":6390},[96],{"categories":6392},[47],{"categories":6394},[96],{"categories":6396},[],{"categories":6398},[110],{"categories":6400},[],{"categories":6402},[110],{"categories":6404},[96],{"categories":6406},[86],{"categories":6408},[47],{"categories":6410},[],{"categories":6412},[113],{"categories":6414},[266],{"categories":6416},[47],{"categories":6418},[110],{"categories":6420},[47],{"categories":6422},[],{"categories":6424},[135],{"categories":6426},[96],{"categories":6428},[110],{"categories":6430},[190],{"categories":6432},[91],{"categories":6434},[47],{"categories":6436},[47],{"categories":6438},[96],{"categories":6440},[110],{"categories":6442},[96],{"categories":6444},[135],{"categories":6446},[47],{"categories":6448},[99],{"categories":6450},[86],{"categories":6452},[99],{"categories":6454},[135],{"categories":6456},[47],{"categories":6458},[47],{"categories":6460},[110],{"categories":6462},[47],{"categories":6464},[190],{"categories":6466},[91],{"categories":6468},[47],{"categories":6470},[47],{"categories":6472},[47],{"categories":6474},[47],{"categories":6476},[47],{"categories":6478},[47],{"categories":6480},[96],{"categories":6482},[47],{"categories":6484},[47],{"categories":6486},[96],{"categories":6488},[47],{"categories":6490},[47],{"categories":6492},[86],{"categories":6494},[47],{"categories":6496},[96],{"categories":6498},[96],{"categories":6500},[190],{"categories":6502},[96],{"categories":6504},[47],{"categories":6506},[96],{"categories":6508},[47],{"categories":6510},[86],{"categories":6512},[96],{"categories":6514},[190],{"categories":6516},[],{"categories":6518},[47],{"categories":6520},[113],{"categories":6522},[457],{"categories":6524},[47],{"categories":6526},[96],{"categories":6528},[47],{"categories":6530},[47],{"categories":6532},[110],{"categories":6534},[47],{"categories":6536},[],{"categories":6538},[47],{"categories":6540},[96],{"categories":6542},[91],{"categories":6544},[47],{"categories":6546},[223],{"categories":6548},[190],{"categories":6550},[47],{"categories":6552},[110],{"categories":6554},[47],{"categories":6556},[47],{"categories":6558},[135],{"categories":6560},[96],{"categories":6562},[47],{"categories":6564},[223],{"categories":6566},[96],{"categories":6568},[91],{"categories":6570},[91],{"categories":6572},[47],{"categories":6574},[47],{"categories":6576},[47],{"categories":6578},[47],{"categories":6580},[47],{"categories":6582},[47],{"categories":6584},[86],{"categories":6586},[47],{"categories":6588},[],{"categories":6590},[47],{"categories":6592},[47],{"categories":6594},[96],{"categories":6596},[47],{"categories":6598},[96],{"categories":6600},[47],{"categories":6602},[47],{"categories":6604},[47],{"categories":6606},[47],{"categories":6608},[47],{"categories":6610},[47],{"categories":6612},[110],{"categories":6614},[],{"categories":6616},[86],{"categories":6618},[47],{"categories":6620},[47],{"categories":6622},[96],{"categories":6624},[96],{"categories":6626},[],{"categories":6628},[110],{"categories":6630},[110],{"categories":6632},[47],{"categories":6634},[223],{"categories":6636},[91],{"categories":6638},[190],{"categories":6640},[47],{"categories":6642},[],{"categories":6644},[47],{"categories":6646},[96],{"categories":6648},[86],{"categories":6650},[47],{"categories":6652},[47],{"categories":6654},[110],{"categories":6656},[86],{"categories":6658},[47],{"categories":6660},[47],{"categories":6662},[135],{"categories":6664},[113],{"categories":6666},[47],{"categories":6668},[135],{"categories":6670},[47],{"categories":6672},[96],{"categories":6674},[47],{"categories":6676},[47],{"categories":6678},[],{"categories":6680},[135],{"categories":6682},[96],{"categories":6684},[190],{"categories":6686},[113],{"categories":6688},[47],{"categories":6690},[47],{"categories":6692},[47],{"categories":6694},[],{"categories":6696},[96],{"categories":6698},[96],{"categories":6700},[96],{"categories":6702},[3442],{"categories":6704},[135],{"categories":6706},[47],{"categories":6708},[110],{"categories":6710},[47],{"categories":6712},[47],{"categories":6714},[47],{"categories":6716},[47],{"categories":6718},[47],{"categories":6720},[96],{"categories":6722},[47],{"categories":6724},[91],{"categories":6726},[47],{"categories":6728},[86],{"categories":6730},[1935],{"categories":6732},[266],{"categories":6734},[86],{"categories":6736},[],{"categories":6738},[99],{"categories":6740},[47],{"categories":6742},[],{"categories":6744},[47],{"categories":6746},[135],{"categories":6748},[96],{"categories":6750},[190],{"categories":6752},[47],{"categories":6754},[96],{"categories":6756},[47],{"categories":6758},[47],{"categories":6760},[47],{"categories":6762},[47],{"categories":6764},[135],{"categories":6766},[],{"categories":6768},[47],{"categories":6770},[96],{"categories":6772},[47],{"categories":6774},[96],{"categories":6776},[96],{"categories":6778},[],{"categories":6780},[47],{"categories":6782},[],{"categories":6784},[135],{"categories":6786},[86],{"categories":6788},[47],{"categories":6790},[190],{"categories":6792},[47],{"categories":6794},[96],{"categories":6796},[135],{"categories":6798},[47],{"categories":6800},[135],{"categories":6802},[],{"categories":6804},[135],{"categories":6806},[47],{"categories":6808},[86],{"categories":6810},[96],{"categories":6812},[457],{"categories":6814},[47],{"categories":6816},[96],{"categories":6818},[47],{"categories":6820},[],{"categories":6822},[110],{"categories":6824},[96],{"categories":6826},[99],{"categories":6828},[96],{"categories":6830},[47],{"categories":6832},[86],{"categories":6834},[47],{"categories":6836},[47],{"categories":6838},[],{"categories":6840},[],{"categories":6842},[],{"categories":6844},[190],{"categories":6846},[47],{"categories":6848},[96],{"categories":6850},[47],{"categories":6852},[47],{"categories":6854},[],{"categories":6856},[],{"categories":6858},[],{"categories":6860},[47],{"categories":6862},[96],{"categories":6864},[190],{"categories":6866},[47],{"categories":6868},[],{"categories":6870},[96],{"categories":6872},[47],{"categories":6874},[47],{"categories":6876},[86],{"categories":6878},[],{"categories":6880},[],{"categories":6882},[47],{"categories":6884},[47],{"categories":6886},[47],{"categories":6888},[96],{"categories":6890},[190],{"categories":6892},[47],{"categories":6894},[135],{"categories":6896},[],{"categories":6898},[47],{"categories":6900},[47],{"categories":6902},[223],{"categories":6904},[135],{"categories":6906},[223],{"categories":6908},[110],{"categories":6910},[113],{"categories":6912},[47],{"categories":6914},[47],{"categories":6916},[],{"categories":6918},[],{"categories":6920},[96],{"categories":6922},[],{"categories":6924},[47],{"categories":6926},[457],{"categories":6928},[47],{"categories":6930},[47],{"categories":6932},[47],{"categories":6934},[47],{"categories":6936},[],{"categories":6938},[96],{"categories":6940},[47],{"categories":6942},[47],{"categories":6944},[],{"categories":6946},[96],{"categories":6948},[96],{"categories":6950},[47],{"categories":6952},[135],{"categories":6954},[47],{"categories":6956},[223],{"categories":6958},[47],{"categories":6960},[96],{"categories":6962},[91],{"categories":6964},[99],{"categories":6966},[47],{"categories":6968},[47],{"categories":6970},[96],{"categories":6972},[113],{"categories":6974},[96],{"categories":6976},[96],{"categories":6978},[],{"categories":6980},[47],{"categories":6982},[96],{"categories":6984},[],{"categories":6986},[47],{"categories":6988},[],{"categories":6990},[135],{"categories":6992},[91],{"categories":6994},[],{"categories":6996},[47],{"categories":6998},[47],{"categories":7000},[47],{"categories":7002},[],{"categories":7004},[96],{"categories":7006},[190],{"categories":7008},[86],{"categories":7010},[47],{"categories":7012},[],{"categories":7014},[91],{"categories":7016},[223],{"categories":7018},[47],{"categories":7020},[110],{"categories":7022},[86],{"categories":7024},[113],{"categories":7026},[91],{"categories":7028},[110],{"categories":7030},[96],{"categories":7032},[110],{"categories":7034},[],{"categories":7036},[47],{"categories":7038},[99],{"categories":7040},[99],{"categories":7042},[47],{"categories":7044},[],{"categories":7046},[96],{"categories":7048},[96],{"categories":7050},[86],{"categories":7052},[190],{"categories":7054},[47],{"categories":7056},[47],{"categories":7058},[86],{"categories":7060},[96],{"categories":7062},[266],{"categories":7064},[47],{"categories":7066},[47],{"categories":7068},[47],{"categories":7070},[47],{"categories":7072},[47],{"categories":7074},[86],{"categories":7076},[47],{"categories":7078},[110],{"categories":7080},[113],{"categories":7082},[96],{"categories":7084},[],{"categories":7086},[47],{"categories":7088},[47],{"categories":7090},[47],{"categories":7092},[110],{"categories":7094},[96],{"categories":7096},[135],{"categories":7098},[110],{"categories":7100},[47],{"categories":7102},[99],{"categories":7104},[],{"categories":7106},[190],{"categories":7108},[110],{"categories":7110},[135],{"categories":7112},[47],{"categories":7114},[47],{"categories":7116},[86],{"categories":7118},[96],{"categories":7120},[47],{"categories":7122},[47],{"categories":7124},[96],{"categories":7126},[99],{"categories":7128},[47],{"categories":7130},[96],{"categories":7132},[47],{"categories":7134},[91],{"categories":7136},[47],{"categories":7138},[96],{"categories":7140},[96,266],{"categories":7142},[47],{"categories":7144},[47],{"categories":7146},[96],{"categories":7148},[110],{"categories":7150},[47],{"categories":7152},[47],{"categories":7154},[47],{"categories":7156},[113],{"categories":7158},[96],{"categories":7160},[223],{"categories":7162},[96],{"categories":7164},[91],{"categories":7166},[],{"categories":7168},[96],{"categories":7170},[47],{"categories":7172},[91],{"categories":7174},[],{"categories":7176},[],{"categories":7178},[47],{"categories":7180},[110],{"categories":7182},[47],{"categories":7184},[47],{"categories":7186},[96],{"categories":7188},[47],{"categories":7190},[113],{"categories":7192},[223],{"categories":7194},[47],{"categories":7196},[47],{"categories":7198},[47],{"categories":7200},[47],{"categories":7202},[96],{"categories":7204},[],{"categories":7206},[96],{"categories":7208},[135],{"categories":7210},[47],{"categories":7212},[96],{"categories":7214},[96],{"categories":7216},[47],{"categories":7218},[],{"categories":7220},[135],{"categories":7222},[110],{"categories":7224},[3442],{"categories":7226},[86],{"categories":7228},[110],{"categories":7230},[47],{"categories":7232},[96],{"categories":7234},[47],{"categories":7236},[47],{"categories":7238},[223],{"categories":7240},[110],{"categories":7242},[113],{"categories":7244},[],{"categories":7246},[135],{"categories":7248},[47],{"categories":7250},[47],{"categories":7252},[],{"categories":7254},[96],{"categories":7256},[47],{"categories":7258},[47],{"categories":7260},[47],{"categories":7262},[47],{"categories":7264},[96],{"categories":7266},[47],{"categories":7268},[47],{"categories":7270},[47],{"categories":7272},[47],{"categories":7274},[47],{"categories":7276},[99],{"categories":7278},[47],{"categories":7280},[96],{"categories":7282},[47],{"categories":7284},[47],{"categories":7286},[47],{"categories":7288},[47],{"categories":7290},[47],{"categories":7292},[47],{"categories":7294},[47],{"categories":7296},[91],{"categories":7298},[],{"categories":7300},[99],{"categories":7302},[47],{"categories":7304},[135],{"categories":7306},[96],{"categories":7308},[47],{"categories":7310},[110],{"categories":7312},[],{"categories":7314},[110],{"categories":7316},[110],{"categories":7318},[96],{"categories":7320},[110],{"categories":7322},[47],{"categories":7324},[47],{"categories":7326},[47],{"categories":7328},[96],{"categories":7330},[110],{"categories":7332},[47],{"categories":7334},[47],{"categories":7336},[47],{"categories":7338},[96],{"categories":7340},[135],{"categories":7342},[47],{"categories":7344},[47],{"categories":7346},[47],{"categories":7348},[91],{"categories":7350},[47],{"categories":7352},[96],{"categories":7354},[190],{"categories":7356},[],{"categories":7358},[47],{"categories":7360},[47],{"categories":7362},[113],{"categories":7364},[47],{"categories":7366},[96],{"categories":7368},[47],{"categories":7370},[47],{"categories":7372},[],{"categories":7374},[47],{"categories":7376},[47],{"categories":7378},[135],{"categories":7380},[47],{"categories":7382},[47],{"categories":7384},[96],{"categories":7386},[223],{"categories":7388},[],{"categories":7390},[],{"categories":7392},[110],{"categories":7394},[47],{"categories":7396},[47],{"categories":7398},[99],{"categories":7400},[135],{"categories":7402},[47],{"categories":7404},[110],{"categories":7406},[135],{"categories":7408},[47],{"categories":7410},[47],{"categories":7412},[223],{"categories":7414},[113],{"categories":7416},[47],{"categories":7418},[47],{"categories":7420},[86],{"categories":7422},[96],{"categories":7424},[47],{"categories":7426},[47],{"categories":7428},[96],{"categories":7430},[91],{"categories":7432},[96],{"categories":7434},[110],{"categories":7436},[47],{"categories":7438},[91],{"categories":7440},[],{"categories":7442},[47],{"categories":7444},[113],{"categories":7446},[47],{"categories":7448},[47],{"categories":7450},[],{"categories":7452},[135],{"categories":7454},[47],{"categories":7456},[96],{"categories":7458},[113],{"categories":7460},[47],{"categories":7462},[110],{"categories":7464},[110],{"categories":7466},[110],{"categories":7468},[47],{"categories":7470},[96],{"categories":7472},[96],{"categories":7474},[47],{"categories":7476},[96],{"categories":7478},[47],{"categories":7480},[47],{"categories":7482},[190],{"categories":7484},[113],{"categories":7486},[113],{"categories":7488},[],{"categories":7490},[135],{"categories":7492},[47],{"categories":7494},[47],{"categories":7496},[110],{"categories":7498},[],{"categories":7500},[135],{"categories":7502},[135],{"categories":7504},[135],{"categories":7506},[],{"categories":7508},[96],{"categories":7510},[47],{"categories":7512},[],{"categories":7514},[86],{"categories":7516},[91],{"categories":7518},[],{"categories":7520},[47],{"categories":7522},[47],{"categories":7524},[],{"categories":7526},[110],{"categories":7528},[],{"categories":7530},[],{"categories":7532},[],{"categories":7534},[],{"categories":7536},[47],{"categories":7538},[135],{"categories":7540},[],{"categories":7542},[],{"categories":7544},[47],{"categories":7546},[47],{"categories":7548},[47],{"categories":7550},[113],{"categories":7552},[47],{"categories":7554},[113],{"categories":7556},[],{"categories":7558},[113],{"categories":7560},[113],{"categories":7562},[266],{"categories":7564},[96],{"categories":7566},[110],{"categories":7568},[],{"categories":7570},[],{"categories":7572},[113],{"categories":7574},[110],{"categories":7576},[110],{"categories":7578},[110],{"categories":7580},[],{"categories":7582},[86],{"categories":7584},[110],{"categories":7586},[110],{"categories":7588},[86],{"categories":7590},[110],{"categories":7592},[91],{"categories":7594},[110],{"categories":7596},[110],{"categories":7598},[110],{"categories":7600},[113],{"categories":7602},[135],{"categories":7604},[135],{"categories":7606},[47],{"categories":7608},[110],{"categories":7610},[113],{"categories":7612},[266],{"categories":7614},[113],{"categories":7616},[113],{"categories":7618},[113],{"categories":7620},[],{"categories":7622},[91],{"categories":7624},[],{"categories":7626},[266],{"categories":7628},[110],{"categories":7630},[110],{"categories":7632},[110],{"categories":7634},[96],{"categories":7636},[135,91],{"categories":7638},[113],{"categories":7640},[],{"categories":7642},[],{"categories":7644},[113],{"categories":7646},[],{"categories":7648},[113],{"categories":7650},[135],{"categories":7652},[96],{"categories":7654},[],{"categories":7656},[110],{"categories":7658},[47],{"categories":7660},[190],{"categories":7662},[],{"categories":7664},[47],{"categories":7666},[],{"categories":7668},[135],{"categories":7670},[86],{"categories":7672},[113],{"categories":7674},[],{"categories":7676},[110],{"categories":7678},[135],[7680,7739,7813,7890],{"id":7681,"title":7682,"ai":7683,"body":7688,"categories":7716,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":7717,"navigation":62,"path":7728,"published_at":7729,"question":48,"scraped_at":7729,"seo":7730,"sitemap":7731,"source_id":7732,"source_name":7733,"source_type":70,"source_url":7722,"stem":7734,"tags":7735,"thumbnail_url":48,"tldr":7736,"tweet":48,"unknown_tags":7737,"__hash__":7738},"summaries\u002Fsummaries\u002F0b226d68692a23fb-nemo-data-designer-framework-for-multimodal-synthe-summary.md","NeMo Data Designer: Framework for Multimodal Synthetic Data",{"provider":7,"model":8,"input_tokens":7684,"output_tokens":7685,"processing_time_ms":7686,"cost_usd":7687},4026,442,2580,0.0016695,{"type":14,"value":7689,"toc":7711},[7690,7694,7697,7701,7704,7708],[17,7691,7693],{"id":7692},"scaling-ai-with-synthetic-data","Scaling AI with Synthetic Data",[22,7695,7696],{},"As the demand for high-quality training data outpaces the availability of human-curated datasets, NeMo Data Designer offers a systematic approach to synthetic data generation. The framework is designed to be modular and extensible, allowing developers to create pipelines that synthesize multimodal data—integrating text, images, and potentially other formats—to improve model performance and robustness.",[17,7698,7700],{"id":7699},"modular-architecture-for-data-synthesis","Modular Architecture for Data Synthesis",[22,7702,7703],{},"The framework emphasizes a pipeline-based architecture where users can define specific data generation tasks. By decoupling the generation logic from the underlying model architecture, NeMo Data Designer enables researchers to iterate on data quality without rebuilding their entire training infrastructure. This modularity is essential for handling the complexities of multimodal alignment, ensuring that synthetic samples maintain semantic consistency across different data types.",[17,7705,7707],{"id":7706},"addressing-data-quality-and-diversity","Addressing Data Quality and Diversity",[22,7709,7710],{},"A core focus of the framework is the control over data diversity and quality. Rather than relying on simple random sampling, the system provides mechanisms to steer the generation process, allowing for the creation of targeted datasets that address specific model weaknesses or edge cases. By automating the generation of high-fidelity synthetic examples, the framework reduces the reliance on expensive, manual data labeling while simultaneously enabling the creation of larger, more diverse training sets that are critical for modern foundation models.",{"title":40,"searchDepth":41,"depth":41,"links":7712},[7713,7714,7715],{"id":7692,"depth":41,"text":7693},{"id":7699,"depth":41,"text":7700},{"id":7706,"depth":41,"text":7707},[47],{"content_references":7718,"triage":7724},[7719],{"type":7720,"title":7721,"url":7722,"context":7723},"paper","NeMo Data Designer: An Extensible Framework for Multimodal Synthetic Data Generation","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.17699","cited",{"relevance":7725,"novelty":58,"quality":58,"actionability":58,"composite":7726,"reasoning":7727},5,4.35,"Category: Data Science & Visualization. The article discusses a framework for generating synthetic data, which directly addresses the audience's need for practical solutions to data scarcity in AI model training. It provides insights into modular architecture and data quality control, making it actionable for developers looking to implement synthetic data generation in their projects.","\u002Fsummaries\u002F0b226d68692a23fb-nemo-data-designer-framework-for-multimodal-synthe-summary","2026-09-18 03:12:03",{"title":7682,"description":40},{"loc":7728},"0b226d68692a23fb","arXiv cs.AI","summaries\u002F0b226d68692a23fb-nemo-data-designer-framework-for-multimodal-synthe-summary",[74,77,75],"NeMo Data Designer provides an extensible, modular framework for generating high-quality synthetic data across multiple modalities, addressing the critical bottleneck of data scarcity in training large-scale AI models.",[],"sPedS4dm6NsKMMhIpLn27o_AUjJYzWoq_WqZn7en_Vw",{"id":7740,"title":7741,"ai":7742,"body":7747,"categories":7793,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":7794,"navigation":62,"path":7803,"published_at":7804,"question":48,"scraped_at":7804,"seo":7805,"sitemap":7806,"source_id":7807,"source_name":7733,"source_type":70,"source_url":7799,"stem":7808,"tags":7809,"thumbnail_url":48,"tldr":7810,"tweet":48,"unknown_tags":7811,"__hash__":7812},"summaries\u002Fsummaries\u002F82a889eba0f03c6d-the-missing-data-layer-in-ai-systems-summary.md","The Missing Data Layer in AI Systems",{"provider":7,"model":8,"input_tokens":7743,"output_tokens":7744,"processing_time_ms":7745,"cost_usd":7746},4046,490,3092,0.0017465,{"type":14,"value":7748,"toc":7789},[7749,7753,7756,7760,7763,7786],[17,7750,7752],{"id":7751},"the-architectural-gap-in-modern-ai","The Architectural Gap in Modern AI",[22,7754,7755],{},"Modern AI development is currently hindered by the absence of a formal, standardized 'data layer.' While compute and model architectures have seen rapid evolution, the infrastructure responsible for managing, versioning, and serving data to these models remains fragmented. Developers are forced to build custom, ad-hoc pipelines that connect raw data storage to inference engines, creating significant technical debt and reducing reproducibility.",[17,7757,7759],{"id":7758},"a-unified-abstraction-for-data-management","A Unified Abstraction for Data Management",[22,7761,7762],{},"The authors propose a structural solution: a dedicated data layer that acts as a middleware between storage and model execution. This layer is designed to handle three core functions:",[7764,7765,7766,7774,7780],"ol",{},[7767,7768,7769,7773],"li",{},[7770,7771,7772],"strong",{},"Semantic Versioning of Data:"," Moving beyond simple file-based versioning to track the semantic state of datasets, ensuring that model training and inference are aligned with specific data snapshots.",[7767,7775,7776,7779],{},[7770,7777,7778],{},"Dynamic Data Transformation:"," Implementing a standardized interface for on-the-fly preprocessing, which allows for consistent feature engineering across training, validation, and production environments.",[7767,7781,7782,7785],{},[7770,7783,7784],{},"Unified Access Patterns:"," Providing a consistent API that abstracts away the underlying storage medium (e.g., object storage, SQL databases, or vector stores), enabling developers to swap storage backends without refactoring their entire AI pipeline.",[22,7787,7788],{},"By decoupling the data management logic from the application code, this approach aims to reduce the complexity of productionizing AI systems and improve the reliability of data-driven decision-making.",{"title":40,"searchDepth":41,"depth":41,"links":7790},[7791,7792],{"id":7751,"depth":41,"text":7752},{"id":7758,"depth":41,"text":7759},[47],{"content_references":7795,"triage":7800},[7796],{"type":7720,"title":7797,"author":7798,"url":7799,"context":7723},"On the missing data layer and a potential solution","Unknown","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.02949",{"relevance":7725,"novelty":58,"quality":58,"actionability":59,"composite":7801,"reasoning":7802},4.15,"Category: Data Science & Visualization. The article addresses a critical gap in AI architectures regarding data management, which is a significant pain point for developers building AI-powered products. It proposes a structured solution for data management that could be actionable, though it lacks detailed implementation steps.","\u002Fsummaries\u002F82a889eba0f03c6d-the-missing-data-layer-in-ai-systems-summary","2026-08-06 03:11:05",{"title":7741,"description":40},{"loc":7803},"82a889eba0f03c6d","summaries\u002F82a889eba0f03c6d-the-missing-data-layer-in-ai-systems-summary",[74,75,77],"Current AI architectures lack a dedicated, standardized data layer, leading to fragmented pipelines; the proposed solution involves a unified abstraction for data management that bridges the gap between raw storage and model inference.",[],"1cCL2cI6KLT_LR3Ib2-D5_APjz8sDTYt51f7YDW06hI",{"id":7814,"title":7815,"ai":7816,"body":7821,"categories":7871,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":7872,"navigation":62,"path":7877,"published_at":7878,"question":48,"scraped_at":7879,"seo":7880,"sitemap":7881,"source_id":7882,"source_name":7883,"source_type":70,"source_url":7884,"stem":7885,"tags":7886,"thumbnail_url":48,"tldr":7887,"tweet":48,"unknown_tags":7888,"__hash__":7889},"summaries\u002Fsummaries\u002Fdaad3848b25d8634-why-accuracy-metrics-hide-ml-model-failures-summary.md","Why Accuracy Metrics Hide ML Model Failures",{"provider":7,"model":8,"input_tokens":7817,"output_tokens":7818,"processing_time_ms":7819,"cost_usd":7820},4031,474,2876,0.00171875,{"type":14,"value":7822,"toc":7867},[7823,7827,7830,7834,7837,7864],[17,7824,7826],{"id":7825},"the-deception-of-aggregate-metrics","The Deception of Aggregate Metrics",[22,7828,7829],{},"Aggregate accuracy metrics, such as a 91% success rate in a résumé classifier, are often misleading because they collapse complex performance data into a single, sanitized number. This metric fails to account for the distribution of errors, effectively hiding \"quiet failures\" that occur when a model systematically misclassifies specific subsets of data. Relying solely on accuracy allows models to appear performant while they simultaneously perpetuate historical biases or fail to generalize to edge cases that are critical for fair decision-making.",[17,7831,7833],{"id":7832},"visualizing-model-blind-spots","Visualizing Model Blind Spots",[22,7835,7836],{},"To uncover what a single percentage point hides, practitioners must move beyond aggregate scores and utilize diagnostic visualizations. The author suggests that nine specific types of plots are essential for identifying where a model is failing:",[7838,7839,7840,7846,7852,7858],"ul",{},[7767,7841,7842,7845],{},[7770,7843,7844],{},"Error Distribution Plots:"," Highlighting where the model is consistently wrong (e.g., specific demographic groups or non-traditional career paths).",[7767,7847,7848,7851],{},[7770,7849,7850],{},"Feature Importance Stability:"," Checking if the model relies on proxies for protected attributes rather than actual skills.",[7767,7853,7854,7857],{},[7770,7855,7856],{},"Confidence Score Histograms:"," Identifying if the model is \"confidently wrong\" on certain types of inputs.",[7767,7859,7860,7863],{},[7770,7861,7862],{},"Confusion Matrices by Subgroup:"," Disaggregating performance to see if the 91% accuracy is driven by high performance on a majority class while minority classes suffer from high false-negative rates.",[22,7865,7866],{},"By visualizing these metrics, engineers can identify if the model is learning patterns from historical hiring data that reflect past human prejudices rather than future potential. The core takeaway is that a model's utility is not defined by its total accuracy, but by its consistency across all inputs. If a model cannot be audited through granular visualization, it is likely failing in ways that are invisible to the team that deployed it.",{"title":40,"searchDepth":41,"depth":41,"links":7868},[7869,7870],{"id":7825,"depth":41,"text":7826},{"id":7832,"depth":41,"text":7833},[113],{"content_references":7873,"triage":7874},[],{"relevance":58,"novelty":59,"quality":58,"actionability":58,"composite":7875,"reasoning":7876},3.8,"Category: Data Science & Visualization. The article addresses the critical issue of misleading accuracy metrics in ML models, which is a relevant concern for product builders focused on AI. It provides actionable insights on using specific diagnostic visualizations to uncover model failures, which aligns with the audience's need for practical applications in AI product development.","\u002Fsummaries\u002Fdaad3848b25d8634-why-accuracy-metrics-hide-ml-model-failures-summary","2026-06-15 16:37:37","2026-06-17 12:56:50",{"title":7815,"description":40},{"loc":7877},"daad3848b25d8634","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fan-automated-email-rejected-me-i-wished-a-human-had-looked-d7f227a244a4?source=rss----5517fd7b58a6---4","summaries\u002Fdaad3848b25d8634-why-accuracy-metrics-hide-ml-model-failures-summary",[77,75,74],"High accuracy scores in automated systems like résumé classifiers often mask systemic biases and data quality issues that lead to unfair rejection patterns.",[],"vao_z94NbYG3--nov3LvcC5mqZU2zxnym3cATAiBUsk",{"id":7891,"title":7892,"ai":7893,"body":7898,"categories":7947,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":7948,"navigation":62,"path":7956,"published_at":7957,"question":48,"scraped_at":7958,"seo":7959,"sitemap":7960,"source_id":7961,"source_name":69,"source_type":70,"source_url":7962,"stem":7963,"tags":7964,"thumbnail_url":48,"tldr":7966,"tweet":48,"unknown_tags":7967,"__hash__":7968},"summaries\u002Fsummaries\u002F098d24c2d1a57a8a-scaling-ai-weather-forecasting-the-windborne-strat-summary.md","Scaling AI Weather Forecasting: The WindBorne Strategy",{"provider":7,"model":8,"input_tokens":7894,"output_tokens":7895,"processing_time_ms":7896,"cost_usd":7897},6157,562,3390,0.00238225,{"type":14,"value":7899,"toc":7943},[7900,7904,7907,7910,7914,7917,7920,7940],[17,7901,7903],{"id":7902},"the-convergence-of-proprietary-data-and-ai","The Convergence of Proprietary Data and AI",[22,7905,7906],{},"WindBorne Systems is leveraging a unique hardware-software feedback loop to disrupt traditional meteorology. By deploying a global network of 600 endurance balloons, the company collects high-value data from hard-to-reach areas like the eyes of typhoons. This proprietary dataset acts as a competitive moat, which is then ingested by their deep learning models.",[22,7908,7909],{},"Historically, high-fidelity weather simulation required massive supercomputing resources, limiting the field to government agencies. The recent shift toward AI-based forecasting allows these simulations to run on standard hardware, enabling private companies like WindBorne to generate their own forecasts rather than merely repackaging government data.",[17,7911,7913],{"id":7912},"moving-beyond-government-contracts","Moving Beyond Government Contracts",[22,7915,7916],{},"While WindBorne has successfully established a demand signal through government partnerships—including the U.S. National Weather Service, the Air Force, and the Navy—the company is now pivoting toward the private sector. The primary challenge for weather startups has traditionally been the difficulty of integrating raw meteorological data into actionable business workflows.",[22,7918,7919],{},"WindBorne’s strategy to overcome this includes:",[7838,7921,7922,7928,7934],{},[7767,7923,7924,7927],{},[7770,7925,7926],{},"Expanding the Sensing Network:"," Using the $37M Series B funding to replace satellite communications with a more efficient mesh radio network.",[7767,7929,7930,7933],{},[7770,7931,7932],{},"AI-Driven Integration:"," Utilizing AI to translate complex weather forecasts into specific business outcomes, such as commodity price prediction, which is currently their primary commercial focus.",[7767,7935,7936,7939],{},[7770,7937,7938],{},"Go-to-Market Expansion:"," Building a dedicated team to help private enterprises operationalize weather data, moving beyond the traditional model of serving news media or specialized logistics firms.",[22,7941,7942],{},"By lowering the barrier to entry for data-driven decision-making, WindBorne aims to prove that better forecasts, combined with AI-assisted integration, can unlock significant value for commercial clients.",{"title":40,"searchDepth":41,"depth":41,"links":7944},[7945,7946],{"id":7902,"depth":41,"text":7903},{"id":7912,"depth":41,"text":7913},[47],{"content_references":7949,"triage":7953},[7950],{"type":54,"title":7951,"author":7952,"context":56},"Rocket Billionaires: Elon Musk, Jeff Bezos and the New Space Race","Tim Fernholz",{"relevance":58,"novelty":59,"quality":58,"actionability":59,"composite":7954,"reasoning":7955},3.6,"Category: Business & SaaS. The article discusses how WindBorne Systems is leveraging AI and proprietary data to disrupt traditional weather forecasting, addressing the pain point of integrating meteorological data into business workflows. It provides insights into their strategy and funding but lacks specific actionable steps for the audience.","\u002Fsummaries\u002F098d24c2d1a57a8a-scaling-ai-weather-forecasting-the-windborne-strat-summary","2026-08-05 11:00:00","2026-08-06 03:11:08",{"title":7892,"description":40},{"loc":7956},"098d24c2d1a57a8a","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F08\u002F05\u002Fai-makes-weather-prediction-better-can-windborne-make-it-lucrative\u002F","summaries\u002F098d24c2d1a57a8a-scaling-ai-weather-forecasting-the-windborne-strat-summary",[74,76,75,7965],"climate","WindBorne Systems raised $37M to scale its proprietary weather-sensing balloon network and AI forecasting models, aiming to bridge the gap between high-fidelity data and commercial business decision-making.",[7965],"CIT5LaAnRD6emuWgY4Ah24rJAuT2GIOgbLx1tEEtH6s"]