[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-636171f75a62feda-detecting-llm-hallucinations-via-topological-conte-summary":3,"summaries-facets-categories":79,"summary-related-636171f75a62feda-detecting-llm-hallucinations-via-topological-conte-summary":7663},{"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":63,"path":64,"published_at":65,"question":48,"scraped_at":65,"seo":66,"sitemap":67,"source_id":68,"source_name":69,"source_type":70,"source_url":56,"stem":71,"tags":72,"thumbnail_url":48,"tldr":76,"tweet":48,"unknown_tags":77,"__hash__":78},"summaries\u002Fsummaries\u002F636171f75a62feda-detecting-llm-hallucinations-via-topological-conte-summary.md","Detecting LLM Hallucinations via Topological Context Analysis",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4042,515,3004,0.001783,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"identifying-hallucinations-through-topological-signatures","Identifying Hallucinations through Topological Signatures",[22,23,24],"p",{},"The paper introduces a novel approach to identifying LLM hallucinations by analyzing the internal state of the model through the lens of topological data analysis (TDA). Rather than relying on output-based verification or external fact-checking, the authors focus on the internal mechanics of 'context sharing'—the process by which an LLM integrates prompt information with its internal weights to generate a coherent response.",[17,26,28],{"id":27},"the-mechanism-of-impaired-context-sharing","The Mechanism of Impaired Context Sharing",[22,30,31],{},"The core argument is that hallucinations are not merely random errors but are often the result of structural failures in how the model maintains context across its layers. The researchers identify specific 'topological signatures'—geometric patterns in the high-dimensional activation space—that correlate with these failures. When a model begins to hallucinate, the internal representation of the context becomes fragmented or disconnected, which manifests as measurable anomalies in the model's topological structure. By monitoring these signatures, developers can potentially predict when a model is diverging from factual grounding before the final output is even generated.",[17,33,35],{"id":34},"practical-implications-for-model-reliability","Practical Implications for Model Reliability",[22,37,38],{},"This method shifts the focus from reactive hallucination detection (checking if the answer is wrong) to proactive monitoring (detecting if the model's reasoning process is breaking down). By tracing these signatures, the authors suggest that it is possible to build more robust guardrails that intervene when the internal state indicates a high probability of hallucination. This provides a structural, rather than heuristic, path toward improving the reliability of LLM-powered applications.",{"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":58},[53],{"type":54,"title":55,"url":56,"context":57},"paper","Detecting Hallucination in LLMs: Tracing the Topological Signatures of Impaired Context Sharing","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.21096","reviewed",{"relevance":59,"novelty":59,"quality":59,"actionability":60,"composite":61,"reasoning":62},4,3,3.8,"Category: AI & LLMs. The article presents a novel method for detecting LLM hallucinations, addressing a specific pain point related to model reliability. It offers insights into internal model mechanics, which can inform developers on improving AI applications, though it lacks detailed actionable steps for immediate implementation.",true,"\u002Fsummaries\u002F636171f75a62feda-detecting-llm-hallucinations-via-topological-conte-summary","2026-09-22 03:27:13",{"title":5,"description":40},{"loc":64},"636171f75a62feda","arXiv cs.AI","article","summaries\u002F636171f75a62feda-detecting-llm-hallucinations-via-topological-conte-summary",[73,74,75],"llm","machine-learning","research","This research proposes a method to detect LLM hallucinations by identifying topological signatures of 'impaired context sharing' within the model's internal activations, offering a structural approach to reliability.",[],"SoHiIgzIyavSXXtperJKazobpaG7PeV9xcvWxYIb9og",[80,82,85,87,90,92,95,98,100,102,104,106,109,112,114,116,118,120,123,125,127,129,131,134,136,138,140,142,144,146,148,150,152,154,156,158,160,162,164,166,168,170,172,174,176,178,180,182,184,186,189,191,193,195,197,199,201,203,205,207,209,211,213,215,217,219,222,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,265,267,269,271,273,275,277,279,281,283,285,287,289,291,293,295,297,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,371,373,375,377,379,381,383,385,387,389,391,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,427,429,431,433,435,437,439,441,443,445,447,449,451,453,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,525,527,529,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,571,573,575,577,579,581,583,585,587,589,591,593,595,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,907,909,911,913,915,918,920,922,924,926,928,930,932,934,936,938,940,942,944,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515,6517,6519,6521,6523,6525,6527,6529,6531,6533,6535,6537,6539,6541,6543,6545,6547,6549,6551,6553,6555,6557,6559,6561,6563,6565,6567,6569,6571,6573,6575,6577,6579,6581,6583,6585,6587,6589,6591,6593,6595,6597,6599,6601,6603,6605,6607,6609,6611,6613,6615,6617,6619,6621,6623,6625,6627,6629,6631,6633,6635,6637,6639,6641,6643,6645,6647,6649,6651,6653,6655,6657,6659,6661,6663,6665,6667,6669,6671,6673,6675,6677,6679,6681,6683,6685,6687,6689,6691,6693,6695,6697,6699,6701,6703,6705,6707,6709,6711,6713,6715,6717,6719,6721,6723,6725,6727,6729,6731,6733,6735,6737,6739,6741,6743,6745,6747,6749,6751,6753,6755,6757,6759,6761,6763,6765,6767,6769,6771,6773,6775,6777,6779,6781,6783,6785,6787,6789,6791,6793,6795,6797,6799,6801,6803,6805,6807,6809,6811,6813,6815,6817,6819,6821,6823,6825,6827,6829,6831,6833,6835,6837,6839,6841,6843,6845,6847,6849,6851,6853,6855,6857,6859,6861,6863,6865,6867,6869,6871,6873,6875,6877,6879,6881,6883,6885,6887,6889,6891,6893,6895,6897,6899,6901,6903,6905,6907,6909,6911,6913,6915,6917,6919,6921,6923,6925,6927,6929,6931,6933,6935,6937,6939,6941,6943,6945,6947,6949,6951,6953,6955,6957,6959,6961,6963,6965,6967,6969,6971,6973,6975,6977,6979,6981,6983,6985,6987,6989,6991,6993,6995,6997,6999,7001,7003,7005,7007,7009,7011,7013,7015,7017,7019,7021,7023,7025,7027,7029,7031,7033,7035,7037,7039,7041,7043,7045,7047,7049,7051,7053,7055,7057,7059,7061,7063,7065,7067,7069,7071,7073,7075,7077,7079,7081,7083,7085,7087,7089,7091,7093,7095,7097,7099,7101,7103,7105,7107,7109,7111,7113,7115,7117,7119,7121,7123,7125,7127,7129,7131,7133,7135,7137,7139,7141,7143,7145,7147,7149,7151,7153,7155,7157,7159,7161,7163,7165,7167,7169,7171,7173,7175,7177,7179,7181,7183,7185,7187,7189,7191,7193,7195,7197,7199,7201,7203,7205,7207,7209,7211,7213,7215,7217,7219,7221,7223,7225,7227,7229,7231,7233,7235,7237,7239,7241,7243,7245,7247,7249,7251,7253,7255,7257,7259,7261,7263,7265,7267,7269,7271,7273,7275,7277,7279,7281,7283,7285,7287,7289,7291,7293,7295,7297,7299,7301,7303,7305,7307,7309,7311,7313,7315,7317,7319,7321,7323,7325,7327,7329,7331,7333,7335,7337,7339,7341,7343,7345,7347,7349,7351,7353,7355,7357,7359,7361,7363,7365,7367,7369,7371,7373,7375,7377,7379,7381,7383,7385,7387,7389,7391,7393,7395,7397,7399,7401,7403,7405,7407,7409,7411,7413,7415,7417,7419,7421,7423,7425,7427,7429,7431,7433,7435,7437,7439,7441,7443,7445,7447,7449,7451,7453,7455,7457,7459,7461,7463,7465,7467,7469,7471,7473,7475,7477,7479,7481,7483,7485,7487,7489,7491,7493,7495,7497,7499,7501,7503,7505,7507,7509,7511,7513,7515,7517,7519,7521,7523,7525,7527,7529,7531,7533,7535,7537,7539,7541,7543,7545,7547,7549,7551,7553,7555,7557,7559,7561,7563,7565,7567,7569,7571,7573,7575,7577,7579,7581,7583,7585,7587,7589,7591,7593,7595,7597,7599,7601,7603,7605,7607,7609,7611,7613,7615,7617,7619,7621,7623,7625,7627,7629,7631,7633,7635,7637,7639,7641,7643,7645,7647,7649,7651,7653,7655,7657,7659,7661],{"categories":81},[47],{"categories":83},[84],"Developer Productivity",{"categories":86},[47],{"categories":88},[89],"Business & SaaS",{"categories":91},[47],{"categories":93},[94],"AI Automation",{"categories":96},[97],"Product Strategy",{"categories":99},[94],{"categories":101},[47],{"categories":103},[84],{"categories":105},[94],{"categories":107},[108],"Software Engineering",{"categories":110},[111],"Data Science & Visualization",{"categories":113},[47],{"categories":115},[89],{"categories":117},[],{"categories":119},[47],{"categories":121},[122],"Inference & Serving",{"categories":124},[47],{"categories":126},[47],{"categories":128},[94],{"categories":130},[],{"categories":132},[133],"AI News & Trends",{"categories":135},[111],{"categories":137},[94],{"categories":139},[47],{"categories":141},[47],{"categories":143},[47],{"categories":145},[89],{"categories":147},[84],{"categories":149},[47],{"categories":151},[94],{"categories":153},[133],{"categories":155},[47],{"categories":157},[94],{"categories":159},[94],{"categories":161},[47],{"categories":163},[47],{"categories":165},[94],{"categories":167},[47],{"categories":169},[47],{"categories":171},[47],{"categories":173},[89],{"categories":175},[94],{"categories":177},[133],{"categories":179},[47],{"categories":181},[47],{"categories":183},[47],{"categories":185},[],{"categories":187},[188],"Design & Frontend",{"categories":190},[47],{"categories":192},[111],{"categories":194},[47],{"categories":196},[133],{"categories":198},[47],{"categories":200},[47],{"categories":202},[47],{"categories":204},[],{"categories":206},[47],{"categories":208},[47],{"categories":210},[94],{"categories":212},[108],{"categories":214},[47],{"categories":216},[94],{"categories":218},[47],{"categories":220},[221],"Marketing & Growth",{"categories":223},[188],{"categories":225},[47],{"categories":227},[94],{"categories":229},[47],{"categories":231},[47],{"categories":233},[108],{"categories":235},[47],{"categories":237},[],{"categories":239},[],{"categories":241},[188],{"categories":243},[47],{"categories":245},[94],{"categories":247},[84],{"categories":249},[108],{"categories":251},[94],{"categories":253},[188],{"categories":255},[47],{"categories":257},[97],{"categories":259},[47],{"categories":261},[108],{"categories":263},[264],"DevOps & Cloud",{"categories":266},[94],{"categories":268},[97],{"categories":270},[133],{"categories":272},[47],{"categories":274},[],{"categories":276},[47],{"categories":278},[47],{"categories":280},[47],{"categories":282},[],{"categories":284},[94],{"categories":286},[108],{"categories":288},[],{"categories":290},[108],{"categories":292},[94],{"categories":294},[47],{"categories":296},[188],{"categories":298},[299],"Governance & Standards",{"categories":301},[89],{"categories":303},[],{"categories":305},[47],{"categories":307},[],{"categories":309},[47],{"categories":311},[47],{"categories":313},[94],{"categories":315},[94],{"categories":317},[47],{"categories":319},[47],{"categories":321},[94],{"categories":323},[47],{"categories":325},[47],{"categories":327},[47],{"categories":329},[],{"categories":331},[108],{"categories":333},[],{"categories":335},[],{"categories":337},[47],{"categories":339},[108],{"categories":341},[],{"categories":343},[108],{"categories":345},[47],{"categories":347},[94],{"categories":349},[47],{"categories":351},[221],{"categories":353},[47],{"categories":355},[47],{"categories":357},[47],{"categories":359},[188],{"categories":361},[188],{"categories":363},[47],{"categories":365},[108],{"categories":367},[94],{"categories":369},[370],"GovTech & Public-Sector Adoption",{"categories":372},[108],{"categories":374},[47],{"categories":376},[47],{"categories":378},[47],{"categories":380},[94],{"categories":382},[94],{"categories":384},[111],{"categories":386},[47],{"categories":388},[133],{"categories":390},[94],{"categories":392},[393],"Legal AI Tools",{"categories":395},[47],{"categories":397},[94],{"categories":399},[47],{"categories":401},[221],{"categories":403},[94],{"categories":405},[97],{"categories":407},[47],{"categories":409},[108],{"categories":411},[370],{"categories":413},[],{"categories":415},[94],{"categories":417},[],{"categories":419},[89],{"categories":421},[94],{"categories":423},[94],{"categories":425},[426],"RAG & Retrieval",{"categories":428},[89],{"categories":430},[47],{"categories":432},[108],{"categories":434},[108],{"categories":436},[264],{"categories":438},[188],{"categories":440},[94],{"categories":442},[47],{"categories":444},[47],{"categories":446},[47],{"categories":448},[47],{"categories":450},[],{"categories":452},[94],{"categories":454},[455],"Agents & Orchestration",{"categories":457},[108],{"categories":459},[47],{"categories":461},[],{"categories":463},[94],{"categories":465},[89],{"categories":467},[],{"categories":469},[47],{"categories":471},[],{"categories":473},[47],{"categories":475},[84],{"categories":477},[108],{"categories":479},[89],{"categories":481},[47],{"categories":483},[47],{"categories":485},[47],{"categories":487},[94],{"categories":489},[47],{"categories":491},[47],{"categories":493},[133],{"categories":495},[47],{"categories":497},[],{"categories":499},[47],{"categories":501},[47],{"categories":503},[],{"categories":505},[47],{"categories":507},[108],{"categories":509},[47],{"categories":511},[94],{"categories":513},[111],{"categories":515},[],{"categories":517},[47],{"categories":519},[47],{"categories":521},[188],{"categories":523},[524],"Models & Frontier Labs",{"categories":526},[],{"categories":528},[188],{"categories":530},[531],"Regulation & Governance of AI",{"categories":533},[97],{"categories":535},[94],{"categories":537},[],{"categories":539},[47],{"categories":541},[47],{"categories":543},[94],{"categories":545},[94],{"categories":547},[133],{"categories":549},[47],{"categories":551},[89],{"categories":553},[47],{"categories":555},[94],{"categories":557},[],{"categories":559},[108],{"categories":561},[94],{"categories":563},[47],{"categories":565},[97],{"categories":567},[47],{"categories":569},[570],"AI Policy & Regulation",{"categories":572},[],{"categories":574},[47],{"categories":576},[94],{"categories":578},[94],{"categories":580},[97],{"categories":582},[94],{"categories":584},[47],{"categories":586},[47],{"categories":588},[47],{"categories":590},[94],{"categories":592},[],{"categories":594},[111],{"categories":596},[597],"Evals & Reliability",{"categories":599},[47],{"categories":601},[47],{"categories":603},[],{"categories":605},[111],{"categories":607},[84],{"categories":609},[370],{"categories":611},[570],{"categories":613},[47],{"categories":615},[47],{"categories":617},[89],{"categories":619},[47],{"categories":621},[94],{"categories":623},[47],{"categories":625},[94],{"categories":627},[455],{"categories":629},[47],{"categories":631},[108],{"categories":633},[47],{"categories":635},[47],{"categories":637},[],{"categories":639},[188],{"categories":641},[],{"categories":643},[47],{"categories":645},[47],{"categories":647},[370],{"categories":649},[47],{"categories":651},[47],{"categories":653},[47],{"categories":655},[],{"categories":657},[47],{"categories":659},[188],{"categories":661},[108],{"categories":663},[],{"categories":665},[47],{"categories":667},[],{"categories":669},[94],{"categories":671},[47],{"categories":673},[188],{"categories":675},[],{"categories":677},[47],{"categories":679},[47],{"categories":681},[111],{"categories":683},[94],{"categories":685},[47],{"categories":687},[89],{"categories":689},[94],{"categories":691},[47],{"categories":693},[47],{"categories":695},[108],{"categories":697},[188],{"categories":699},[47],{"categories":701},[94],{"categories":703},[],{"categories":705},[108],{"categories":707},[94],{"categories":709},[111],{"categories":711},[],{"categories":713},[47],{"categories":715},[133],{"categories":717},[47],{"categories":719},[],{"categories":721},[47],{"categories":723},[47],{"categories":725},[47],{"categories":727},[89,221],{"categories":729},[],{"categories":731},[108],{"categories":733},[47],{"categories":735},[47],{"categories":737},[94],{"categories":739},[47],{"categories":741},[47],{"categories":743},[],{"categories":745},[],{"categories":747},[47],{"categories":749},[47],{"categories":751},[188],{"categories":753},[47],{"categories":755},[],{"categories":757},[47],{"categories":759},[264],{"categories":761},[],{"categories":763},[94],{"categories":765},[133],{"categories":767},[47],{"categories":769},[89],{"categories":771},[47],{"categories":773},[108],{"categories":775},[188],{"categories":777},[],{"categories":779},[47],{"categories":781},[133],{"categories":783},[47],{"categories":785},[122],{"categories":787},[47],{"categories":789},[47],{"categories":791},[94],{"categories":793},[133],{"categories":795},[524],{"categories":797},[47],{"categories":799},[221],{"categories":801},[],{"categories":803},[94],{"categories":805},[89],{"categories":807},[108],{"categories":809},[47],{"categories":811},[94],{"categories":813},[],{"categories":815},[47,264],{"categories":817},[47],{"categories":819},[47],{"categories":821},[47],{"categories":823},[94],{"categories":825},[47,108],{"categories":827},[111],{"categories":829},[47],{"categories":831},[47],{"categories":833},[47],{"categories":835},[108],{"categories":837},[47],{"categories":839},[94],{"categories":841},[94],{"categories":843},[570],{"categories":845},[221],{"categories":847},[47],{"categories":849},[94],{"categories":851},[47],{"categories":853},[47],{"categories":855},[94],{"categories":857},[],{"categories":859},[94],{"categories":861},[47],{"categories":863},[47],{"categories":865},[94],{"categories":867},[47],{"categories":869},[47,89],{"categories":871},[47],{"categories":873},[47],{"categories":875},[89],{"categories":877},[],{"categories":879},[188],{"categories":881},[188],{"categories":883},[47],{"categories":885},[],{"categories":887},[],{"categories":889},[47],{"categories":891},[133],{"categories":893},[],{"categories":895},[84],{"categories":897},[47],{"categories":899},[108],{"categories":901},[94],{"categories":903},[47],{"categories":905},[906],"Generative UI & Design-to-Code",{"categories":908},[47],{"categories":910},[47],{"categories":912},[188],{"categories":914},[47],{"categories":916},[917],"Algorithmic Accountability",{"categories":919},[94],{"categories":921},[108],{"categories":923},[133],{"categories":925},[188],{"categories":927},[47],{"categories":929},[],{"categories":931},[97],{"categories":933},[47],{"categories":935},[47],{"categories":937},[47],{"categories":939},[47],{"categories":941},[47],{"categories":943},[94],{"categories":945},[946],"MLOps & Infrastructure",{"categories":948},[47],{"categories":950},[47],{"categories":952},[47],{"categories":954},[47],{"categories":956},[47],{"categories":958},[108],{"categories":960},[133],{"categories":962},[47],{"categories":964},[47],{"categories":966},[97],{"categories":968},[84],{"categories":970},[47],{"categories":972},[94],{"categories":974},[264],{"categories":976},[47],{"categories":978},[89],{"categories":980},[47],{"categories":982},[188],{"categories":984},[47],{"categories":986},[97],{"categories":988},[47],{"categories":990},[94],{"categories":992},[],{"categories":994},[],{"categories":996},[47],{"categories":998},[122],{"categories":1000},[188],{"categories":1002},[133],{"categories":1004},[111],{"categories":1006},[],{"categories":1008},[47],{"categories":1010},[47],{"categories":1012},[89],{"categories":1014},[94],{"categories":1016},[47],{"categories":1018},[47],{"categories":1020},[47],{"categories":1022},[47],{"categories":1024},[47],{"categories":1026},[133],{"categories":1028},[122],{"categories":1030},[47],{"categories":1032},[188],{"categories":1034},[47],{"categories":1036},[],{"categories":1038},[94],{"categories":1040},[108],{"categories":1042},[],{"categories":1044},[47],{"categories":1046},[47],{"categories":1048},[94],{"categories":1050},[108],{"categories":1052},[47],{"categories":1054},[111],{"categories":1056},[188],{"categories":1058},[],{"categories":1060},[47],{"categories":1062},[],{"categories":1064},[47],{"categories":1066},[],{"categories":1068},[47],{"categories":1070},[47],{"categories":1072},[97],{"categories":1074},[89],{"categories":1076},[94],{"categories":1078},[94],{"categories":1080},[108],{"categories":1082},[],{"categories":1084},[47],{"categories":1086},[84],{"categories":1088},[47],{"categories":1090},[47],{"categories":1092},[89],{"categories":1094},[133],{"categories":1096},[84],{"categories":1098},[],{"categories":1100},[47],{"categories":1102},[],{"categories":1104},[47],{"categories":1106},[],{"categories":1108},[47],{"categories":1110},[133],{"categories":1112},[133],{"categories":1114},[],{"categories":1116},[455],{"categories":1118},[47],{"categories":1120},[188],{"categories":1122},[108],{"categories":1124},[],{"categories":1126},[393],{"categories":1128},[94],{"categories":1130},[94],{"categories":1132},[89],{"categories":1134},[47],{"categories":1136},[],{"categories":1138},[],{"categories":1140},[84],{"categories":1142},[111],{"categories":1144},[],{"categories":1146},[221],{"categories":1148},[94],{"categories":1150},[89],{"categories":1152},[94],{"categories":1154},[47],{"categories":1156},[89],{"categories":1158},[47],{"categories":1160},[108],{"categories":1162},[],{"categories":1164},[122],{"categories":1166},[97],{"categories":1168},[47],{"categories":1170},[188],{"categories":1172},[108],{"categories":1174},[89],{"categories":1176},[47],{"categories":1178},[108],{"categories":1180},[47],{"categories":1182},[94],{"categories":1184},[89],{"categories":1186},[47],{"categories":1188},[47],{"categories":1190},[47],{"categories":1192},[47],{"categories":1194},[47],{"categories":1196},[47],{"categories":1198},[],{"categories":1200},[],{"categories":1202},[108],{"categories":1204},[111],{"categories":1206},[97],{"categories":1208},[47],{"categories":1210},[94],{"categories":1212},[108],{"categories":1214},[108],{"categories":1216},[47],{"categories":1218},[],{"categories":1220},[47],{"categories":1222},[133],{"categories":1224},[97],{"categories":1226},[97],{"categories":1228},[108],{"categories":1230},[47],{"categories":1232},[597],{"categories":1234},[264],{"categories":1236},[],{"categories":1238},[94],{"categories":1240},[47],{"categories":1242},[84],{"categories":1244},[],{"categories":1246},[84],{"categories":1248},[],{"categories":1250},[47],{"categories":1252},[47],{"categories":1254},[47],{"categories":1256},[188],{"categories":1258},[221],{"categories":1260},[97],{"categories":1262},[47],{"categories":1264},[108],{"categories":1266},[47],{"categories":1268},[94],{"categories":1270},[],{"categories":1272},[108],{"categories":1274},[47],{"categories":1276},[84],{"categories":1278},[],{"categories":1280},[89],{"categories":1282},[47],{"categories":1284},[47],{"categories":1286},[133],{"categories":1288},[47,264],{"categories":1290},[47],{"categories":1292},[1293],"Design Systems for AI",{"categories":1295},[47],{"categories":1297},[47],{"categories":1299},[133],{"categories":1301},[47],{"categories":1303},[47],{"categories":1305},[47],{"categories":1307},[89],{"categories":1309},[47],{"categories":1311},[47],{"categories":1313},[47],{"categories":1315},[],{"categories":1317},[47],{"categories":1319},[47],{"categories":1321},[89],{"categories":1323},[47],{"categories":1325},[],{"categories":1327},[94],{"categories":1329},[94],{"categories":1331},[108],{"categories":1333},[47],{"categories":1335},[133],{"categories":1337},[108],{"categories":1339},[47],{"categories":1341},[188],{"categories":1343},[133],{"categories":1345},[111],{"categories":1347},[47],{"categories":1349},[47],{"categories":1351},[47],{"categories":1353},[47],{"categories":1355},[94],{"categories":1357},[84],{"categories":1359},[570],{"categories":1361},[47],{"categories":1363},[47],{"categories":1365},[94],{"categories":1367},[47],{"categories":1369},[108],{"categories":1371},[47],{"categories":1373},[108],{"categories":1375},[],{"categories":1377},[188],{"categories":1379},[],{"categories":1381},[47],{"categories":1383},[94],{"categories":1385},[97],{"categories":1387},[],{"categories":1389},[89],{"categories":1391},[47],{"categories":1393},[],{"categories":1395},[188],{"categories":1397},[108],{"categories":1399},[94],{"categories":1401},[108],{"categories":1403},[47],{"categories":1405},[188],{"categories":1407},[47],{"categories":1409},[108],{"categories":1411},[47],{"categories":1413},[47],{"categories":1415},[188],{"categories":1417},[],{"categories":1419},[],{"categories":1421},[133],{"categories":1423},[94],{"categories":1425},[94],{"categories":1427},[47],{"categories":1429},[94],{"categories":1431},[47],{"categories":1433},[47],{"categories":1435},[47],{"categories":1437},[47],{"categories":1439},[47],{"categories":1441},[47],{"categories":1443},[89],{"categories":1445},[97],{"categories":1447},[47],{"categories":1449},[47],{"categories":1451},[],{"categories":1453},[108],{"categories":1455},[108],{"categories":1457},[47],{"categories":1459},[108],{"categories":1461},[89],{"categories":1463},[],{"categories":1465},[47],{"categories":1467},[47],{"categories":1469},[188],{"categories":1471},[47],{"categories":1473},[47],{"categories":1475},[47],{"categories":1477},[94],{"categories":1479},[84],{"categories":1481},[89],{"categories":1483},[47],{"categories":1485},[94],{"categories":1487},[133],{"categories":1489},[94],{"categories":1491},[122],{"categories":1493},[221],{"categories":1495},[47],{"categories":1497},[94],{"categories":1499},[47],{"categories":1501},[47],{"categories":1503},[47],{"categories":1505},[47],{"categories":1507},[],{"categories":1509},[188],{"categories":1511},[],{"categories":1513},[47],{"categories":1515},[47],{"categories":1517},[],{"categories":1519},[47],{"categories":1521},[47],{"categories":1523},[108],{"categories":1525},[89],{"categories":1527},[1528],"Visual & Generative Media",{"categories":1530},[94],{"categories":1532},[],{"categories":1534},[47],{"categories":1536},[47],{"categories":1538},[108],{"categories":1540},[47],{"categories":1542},[264],{"categories":1544},[47],{"categories":1546},[111],{"categories":1548},[570],{"categories":1550},[108],{"categories":1552},[221],{"categories":1554},[47],{"categories":1556},[97],{"categories":1558},[188],{"categories":1560},[47],{"categories":1562},[47],{"categories":1564},[108],{"categories":1566},[94],{"categories":1568},[47],{"categories":1570},[],{"categories":1572},[],{"categories":1574},[94],{"categories":1576},[108],{"categories":1578},[84],{"categories":1580},[94],{"categories":1582},[524],{"categories":1584},[47],{"categories":1586},[97],{"categories":1588},[47],{"categories":1590},[89],{"categories":1592},[],{"categories":1594},[47],{"categories":1596},[97],{"categories":1598},[47],{"categories":1600},[47],{"categories":1602},[47],{"categories":1604},[97],{"categories":1606},[47],{"categories":1608},[47],{"categories":1610},[221],{"categories":1612},[47],{"categories":1614},[455],{"categories":1616},[108],{"categories":1618},[94],{"categories":1620},[47],{"categories":1622},[94],{"categories":1624},[47],{"categories":1626},[47],{"categories":1628},[94],{"categories":1630},[47],{"categories":1632},[47],{"categories":1634},[47],{"categories":1636},[94],{"categories":1638},[47],{"categories":1640},[188],{"categories":1642},[94],{"categories":1644},[],{"categories":1646},[94],{"categories":1648},[47],{"categories":1650},[],{"categories":1652},[264],{"categories":1654},[108],{"categories":1656},[],{"categories":1658},[524],{"categories":1660},[47],{"categories":1662},[94],{"categories":1664},[94],{"categories":1666},[47],{"categories":1668},[188,47],{"categories":1670},[47],{"categories":1672},[84],{"categories":1674},[47],{"categories":1676},[94],{"categories":1678},[188],{"categories":1680},[],{"categories":1682},[47],{"categories":1684},[84],{"categories":1686},[47],{"categories":1688},[1689],"Medical Imaging & Radiology",{"categories":1691},[47],{"categories":1693},[47],{"categories":1695},[47],{"categories":1697},[188],{"categories":1699},[94],{"categories":1701},[94],{"categories":1703},[108],{"categories":1705},[],{"categories":1707},[47],{"categories":1709},[47],{"categories":1711},[47],{"categories":1713},[],{"categories":1715},[],{"categories":1717},[47],{"categories":1719},[47],{"categories":1721},[455],{"categories":1723},[47],{"categories":1725},[84],{"categories":1727},[47],{"categories":1729},[47],{"categories":1731},[],{"categories":1733},[94],{"categories":1735},[47],{"categories":1737},[97],{"categories":1739},[108],{"categories":1741},[47],{"categories":1743},[94],{"categories":1745},[455],{"categories":1747},[47],{"categories":1749},[94],{"categories":1751},[47],{"categories":1753},[47],{"categories":1755},[47],{"categories":1757},[47],{"categories":1759},[188],{"categories":1761},[94],{"categories":1763},[264],{"categories":1765},[188],{"categories":1767},[89],{"categories":1769},[94],{"categories":1771},[133],{"categories":1773},[47],{"categories":1775},[47],{"categories":1777},[97],{"categories":1779},[47],{"categories":1781},[47],{"categories":1783},[47],{"categories":1785},[47],{"categories":1787},[47],{"categories":1789},[94],{"categories":1791},[47],{"categories":1793},[108],{"categories":1795},[108],{"categories":1797},[47],{"categories":1799},[97],{"categories":1801},[],{"categories":1803},[133],{"categories":1805},[],{"categories":1807},[97],{"categories":1809},[94],{"categories":1811},[47],{"categories":1813},[47],{"categories":1815},[94],{"categories":1817},[47],{"categories":1819},[1293],{"categories":1821},[47],{"categories":1823},[1293],{"categories":1825},[188],{"categories":1827},[47],{"categories":1829},[47],{"categories":1831},[47],{"categories":1833},[94],{"categories":1835},[108],{"categories":1837},[188],{"categories":1839},[94],{"categories":1841},[133],{"categories":1843},[],{"categories":1845},[47],{"categories":1847},[],{"categories":1849},[47],{"categories":1851},[47],{"categories":1853},[94],{"categories":1855},[47],{"categories":1857},[47],{"categories":1859},[47],{"categories":1861},[94],{"categories":1863},[1864],"Contract Review & E-Discovery",{"categories":1866},[47],{"categories":1868},[188],{"categories":1870},[47],{"categories":1872},[84],{"categories":1874},[47],{"categories":1876},[133],{"categories":1878},[47],{"categories":1880},[47],{"categories":1882},[221],{"categories":1884},[108],{"categories":1886},[94],{"categories":1888},[47],{"categories":1890},[47],{"categories":1892},[47],{"categories":1894},[94],{"categories":1896},[94],{"categories":1898},[917],{"categories":1900},[47],{"categories":1902},[47],{"categories":1904},[94],{"categories":1906},[94],{"categories":1908},[47],{"categories":1910},[47],{"categories":1912},[47],{"categories":1914},[94],{"categories":1916},[47],{"categories":1918},[108],{"categories":1920},[47],{"categories":1922},[455],{"categories":1924},[426],{"categories":1926},[47],{"categories":1928},[94],{"categories":1930},[47],{"categories":1932},[1933],"Law-Firm Practice & Adoption",{"categories":1935},[47],{"categories":1937},[94],{"categories":1939},[188],{"categories":1941},[47],{"categories":1943},[47],{"categories":1945},[47],{"categories":1947},[],{"categories":1949},[108],{"categories":1951},[],{"categories":1953},[108],{"categories":1955},[47],{"categories":1957},[],{"categories":1959},[108],{"categories":1961},[94],{"categories":1963},[84],{"categories":1965},[264],{"categories":1967},[47],{"categories":1969},[],{"categories":1971},[47],{"categories":1973},[84],{"categories":1975},[94],{"categories":1977},[89],{"categories":1979},[47],{"categories":1981},[221],{"categories":1983},[47],{"categories":1985},[],{"categories":1987},[89],{"categories":1989},[94],{"categories":1991},[89],{"categories":1993},[],{"categories":1995},[47],{"categories":1997},[97],{"categories":1999},[47],{"categories":2001},[108],{"categories":2003},[],{"categories":2005},[],{"categories":2007},[],{"categories":2009},[],{"categories":2011},[47],{"categories":2013},[97],{"categories":2015},[94],{"categories":2017},[264],{"categories":2019},[47],{"categories":2021},[84],{"categories":2023},[108],{"categories":2025},[47],{"categories":2027},[47],{"categories":2029},[108],{"categories":2031},[97],{"categories":2033},[47],{"categories":2035},[47],{"categories":2037},[47],{"categories":2039},[946],{"categories":2041},[47],{"categories":2043},[108],{"categories":2045},[47],{"categories":2047},[221],{"categories":2049},[108],{"categories":2051},[89],{"categories":2053},[47],{"categories":2055},[47],{"categories":2057},[47],{"categories":2059},[188],{"categories":2061},[47],{"categories":2063},[47],{"categories":2065},[47],{"categories":2067},[47],{"categories":2069},[89],{"categories":2071},[94],{"categories":2073},[47,84],{"categories":2075},[47],{"categories":2077},[455],{"categories":2079},[47],{"categories":2081},[47],{"categories":2083},[108],{"categories":2085},[47],{"categories":2087},[108],{"categories":2089},[188],{"categories":2091},[94],{"categories":2093},[94],{"categories":2095},[108],{"categories":2097},[47],{"categories":2099},[94],{"categories":2101},[47],{"categories":2103},[47],{"categories":2105},[],{"categories":2107},[],{"categories":2109},[47],{"categories":2111},[111],{"categories":2113},[47],{"categories":2115},[47],{"categories":2117},[188],{"categories":2119},[94],{"categories":2121},[],{"categories":2123},[47],{"categories":2125},[47],{"categories":2127},[89],{"categories":2129},[108],{"categories":2131},[111],{"categories":2133},[133],{"categories":2135},[97],{"categories":2137},[188],{"categories":2139},[47],{"categories":2141},[94],{"categories":2143},[47],{"categories":2145},[108],{"categories":2147},[],{"categories":2149},[94],{"categories":2151},[94],{"categories":2153},[47],{"categories":2155},[47],{"categories":2157},[47],{"categories":2159},[47],{"categories":2161},[47],{"categories":2163},[47],{"categories":2165},[],{"categories":2167},[94],{"categories":2169},[47],{"categories":2171},[47],{"categories":2173},[47],{"categories":2175},[],{"categories":2177},[94],{"categories":2179},[94],{"categories":2181},[47],{"categories":2183},[47],{"categories":2185},[89],{"categories":2187},[47],{"categories":2189},[47],{"categories":2191},[],{"categories":2193},[84],{"categories":2195},[47],{"categories":2197},[47],{"categories":2199},[47],{"categories":2201},[188],{"categories":2203},[47],{"categories":2205},[108],{"categories":2207},[47],{"categories":2209},[84],{"categories":2211},[47],{"categories":2213},[108],{"categories":2215},[221],{"categories":2217},[108],{"categories":2219},[94],{"categories":2221},[94],{"categories":2223},[47],{"categories":2225},[47],{"categories":2227},[47,188],{"categories":2229},[47],{"categories":2231},[94],{"categories":2233},[133],{"categories":2235},[47],{"categories":2237},[133],{"categories":2239},[94],{"categories":2241},[188],{"categories":2243},[47],{"categories":2245},[],{"categories":2247},[108],{"categories":2249},[264],{"categories":2251},[188],{"categories":2253},[108],{"categories":2255},[47],{"categories":2257},[97],{"categories":2259},[47],{"categories":2261},[47],{"categories":2263},[94],{"categories":2265},[],{"categories":2267},[],{"categories":2269},[47],{"categories":2271},[],{"categories":2273},[],{"categories":2275},[97],{"categories":2277},[108],{"categories":2279},[47],{"categories":2281},[47],{"categories":2283},[94],{"categories":2285},[47],{"categories":2287},[94],{"categories":2289},[89],{"categories":2291},[94],{"categories":2293},[264],{"categories":2295},[47],{"categories":2297},[47],{"categories":2299},[47],{"categories":2301},[122],{"categories":2303},[47],{"categories":2305},[47],{"categories":2307},[47],{"categories":2309},[47],{"categories":2311},[108],{"categories":2313},[94],{"categories":2315},[47],{"categories":2317},[47],{"categories":2319},[47],{"categories":2321},[47],{"categories":2323},[108],{"categories":2325},[393],{"categories":2327},[94],{"categories":2329},[917],{"categories":2331},[],{"categories":2333},[94],{"categories":2335},[188],{"categories":2337},[1933],{"categories":2339},[108],{"categories":2341},[],{"categories":2343},[94],{"categories":2345},[],{"categories":2347},[47],{"categories":2349},[94],{"categories":2351},[],{"categories":2353},[],{"categories":2355},[47],{"categories":2357},[47],{"categories":2359},[221],{"categories":2361},[47],{"categories":2363},[221],{"categories":2365},[47],{"categories":2367},[94],{"categories":2369},[47],{"categories":2371},[47],{"categories":2373},[111],{"categories":2375},[47],{"categories":2377},[108],{"categories":2379},[97],{"categories":2381},[],{"categories":2383},[47],{"categories":2385},[47],{"categories":2387},[47],{"categories":2389},[108],{"categories":2391},[47],{"categories":2393},[1864],{"categories":2395},[47],{"categories":2397},[188],{"categories":2399},[188],{"categories":2401},[47],{"categories":2403},[47],{"categories":2405},[94],{"categories":2407},[84],{"categories":2409},[47],{"categories":2411},[47],{"categories":2413},[47],{"categories":2415},[47],{"categories":2417},[188],{"categories":2419},[188],{"categories":2421},[94],{"categories":2423},[94],{"categories":2425},[94],{"categories":2427},[47],{"categories":2429},[47],{"categories":2431},[47],{"categories":2433},[94],{"categories":2435},[],{"categories":2437},[47],{"categories":2439},[],{"categories":2441},[188],{"categories":2443},[2444],"Interaction & Product Design",{"categories":2446},[47],{"categories":2448},[94],{"categories":2450},[108],{"categories":2452},[299],{"categories":2454},[133],{"categories":2456},[108],{"categories":2458},[47],{"categories":2460},[97],{"categories":2462},[47],{"categories":2464},[47],{"categories":2466},[108],{"categories":2468},[47],{"categories":2470},[84],{"categories":2472},[94],{"categories":2474},[47],{"categories":2476},[],{"categories":2478},[94],{"categories":2480},[94],{"categories":2482},[94],{"categories":2484},[],{"categories":2486},[108],{"categories":2488},[47],{"categories":2490},[94],{"categories":2492},[84],{"categories":2494},[2444],{"categories":2496},[47],{"categories":2498},[84],{"categories":2500},[84],{"categories":2502},[47],{"categories":2504},[],{"categories":2506},[47],{"categories":2508},[94],{"categories":2510},[108],{"categories":2512},[],{"categories":2514},[94],{"categories":2516},[97],{"categories":2518},[133],{"categories":2520},[47],{"categories":2522},[94],{"categories":2524},[47],{"categories":2526},[94],{"categories":2528},[94],{"categories":2530},[47],{"categories":2532},[47],{"categories":2534},[133],{"categories":2536},[111],{"categories":2538},[47],{"categories":2540},[97],{"categories":2542},[108],{"categories":2544},[2545],"Coding Agents & Dev Productivity",{"categories":2547},[133],{"categories":2549},[188],{"categories":2551},[47],{"categories":2553},[47],{"categories":2555},[],{"categories":2557},[47],{"categories":2559},[47],{"categories":2561},[917],{"categories":2563},[],{"categories":2565},[47],{"categories":2567},[47],{"categories":2569},[264],{"categories":2571},[47],{"categories":2573},[133],{"categories":2575},[],{"categories":2577},[],{"categories":2579},[47],{"categories":2581},[],{"categories":2583},[94],{"categories":2585},[47],{"categories":2587},[94],{"categories":2589},[],{"categories":2591},[108],{"categories":2593},[108],{"categories":2595},[47],{"categories":2597},[111],{"categories":2599},[],{"categories":2601},[47],{"categories":2603},[47],{"categories":2605},[47],{"categories":2607},[111],{"categories":2609},[108],{"categories":2611},[94],{"categories":2613},[],{"categories":2615},[],{"categories":2617},[47],{"categories":2619},[47],{"categories":2621},[47],{"categories":2623},[47],{"categories":2625},[94],{"categories":2627},[94],{"categories":2629},[370],{"categories":2631},[108],{"categories":2633},[97],{"categories":2635},[108],{"categories":2637},[94],{"categories":2639},[133],{"categories":2641},[133],{"categories":2643},[94],{"categories":2645},[94],{"categories":2647},[47],{"categories":2649},[84],{"categories":2651},[2444],{"categories":2653},[97],{"categories":2655},[47,264],{"categories":2657},[111],{"categories":2659},[],{"categories":2661},[188],{"categories":2663},[94],{"categories":2665},[108],{"categories":2667},[84],{"categories":2669},[47],{"categories":2671},[94],{"categories":2673},[2674],"The Designer's Role & Craft",{"categories":2676},[188],{"categories":2678},[],{"categories":2680},[94],{"categories":2682},[47],{"categories":2684},[94],{"categories":2686},[94],{"categories":2688},[47],{"categories":2690},[221],{"categories":2692},[47],{"categories":2694},[108],{"categories":2696},[94],{"categories":2698},[47],{"categories":2700},[188],{"categories":2702},[47],{"categories":2704},[],{"categories":2706},[94],{"categories":2708},[188],{"categories":2710},[97],{"categories":2712},[47],{"categories":2714},[94],{"categories":2716},[47],{"categories":2718},[47],{"categories":2720},[47],{"categories":2722},[2723],"AI UX Patterns",{"categories":2725},[94],{"categories":2727},[94],{"categories":2729},[94],{"categories":2731},[47],{"categories":2733},[47],{"categories":2735},[94],{"categories":2737},[221],{"categories":2739},[111],{"categories":2741},[47],{"categories":2743},[94],{"categories":2745},[47],{"categories":2747},[1293],{"categories":2749},[],{"categories":2751},[221],{"categories":2753},[94],{"categories":2755},[133],{"categories":2757},[108],{"categories":2759},[47],{"categories":2761},[94],{"categories":2763},[],{"categories":2765},[],{"categories":2767},[47],{"categories":2769},[47],{"categories":2771},[94],{"categories":2773},[47],{"categories":2775},[94],{"categories":2777},[370],{"categories":2779},[188],{"categories":2781},[47],{"categories":2783},[133],{"categories":2785},[108],{"categories":2787},[47],{"categories":2789},[94],{"categories":2791},[94],{"categories":2793},[],{"categories":2795},[47],{"categories":2797},[],{"categories":2799},[47],{"categories":2801},[],{"categories":2803},[47],{"categories":2805},[47],{"categories":2807},[47],{"categories":2809},[94],{"categories":2811},[47],{"categories":2813},[108],{"categories":2815},[],{"categories":2817},[],{"categories":2819},[111],{"categories":2821},[122],{"categories":2823},[47],{"categories":2825},[47],{"categories":2827},[47],{"categories":2829},[111],{"categories":2831},[111],{"categories":2833},[47],{"categories":2835},[47],{"categories":2837},[133],{"categories":2839},[47],{"categories":2841},[47],{"categories":2843},[47],{"categories":2845},[94],{"categories":2847},[47],{"categories":2849},[47],{"categories":2851},[94],{"categories":2853},[47],{"categories":2855},[47],{"categories":2857},[47],{"categories":2859},[94],{"categories":2861},[],{"categories":2863},[47],{"categories":2865},[],{"categories":2867},[47],{"categories":2869},[47],{"categories":2871},[264],{"categories":2873},[47],{"categories":2875},[],{"categories":2877},[],{"categories":2879},[188],{"categories":2881},[946],{"categories":2883},[94],{"categories":2885},[84],{"categories":2887},[2674],{"categories":2889},[],{"categories":2891},[],{"categories":2893},[47],{"categories":2895},[],{"categories":2897},[],{"categories":2899},[108],{"categories":2901},[133],{"categories":2903},[221],{"categories":2905},[111],{"categories":2907},[94],{"categories":2909},[89],{"categories":2911},[47],{"categories":2913},[47],{"categories":2915},[89],{"categories":2917},[],{"categories":2919},[188],{"categories":2921},[97],{"categories":2923},[47],{"categories":2925},[47],{"categories":2927},[94],{"categories":2929},[89],{"categories":2931},[47],{"categories":2933},[47],{"categories":2935},[84],{"categories":2937},[47],{"categories":2939},[89],{"categories":2941},[47],{"categories":2943},[],{"categories":2945},[84],{"categories":2947},[47],{"categories":2949},[221],{"categories":2951},[47],{"categories":2953},[108],{"categories":2955},[94],{"categories":2957},[133],{"categories":2959},[47],{"categories":2961},[108],{"categories":2963},[47],{"categories":2965},[47],{"categories":2967},[47],{"categories":2969},[47],{"categories":2971},[89],{"categories":2973},[47],{"categories":2975},[47],{"categories":2977},[47],{"categories":2979},[94],{"categories":2981},[47],{"categories":2983},[47],{"categories":2985},[47],{"categories":2987},[],{"categories":2989},[47],{"categories":2991},[108],{"categories":2993},[84],{"categories":2995},[47],{"categories":2997},[47],{"categories":2999},[188],{"categories":3001},[47],{"categories":3003},[],{"categories":3005},[47],{"categories":3007},[455],{"categories":3009},[94],{"categories":3011},[89],{"categories":3013},[47],{"categories":3015},[133],{"categories":3017},[47],{"categories":3019},[47],{"categories":3021},[],{"categories":3023},[89],{"categories":3025},[89],{"categories":3027},[47],{"categories":3029},[47],{"categories":3031},[97],{"categories":3033},[47],{"categories":3035},[47],{"categories":3037},[47],{"categories":3039},[47],{"categories":3041},[108],{"categories":3043},[111],{"categories":3045},[108],{"categories":3047},[47],{"categories":3049},[],{"categories":3051},[47],{"categories":3053},[108],{"categories":3055},[47],{"categories":3057},[108],{"categories":3059},[94],{"categories":3061},[570],{"categories":3063},[],{"categories":3065},[],{"categories":3067},[47],{"categories":3069},[133],{"categories":3071},[],{"categories":3073},[264],{"categories":3075},[47],{"categories":3077},[47],{"categories":3079},[47],{"categories":3081},[188],{"categories":3083},[906],{"categories":3085},[],{"categories":3087},[47],{"categories":3089},[47],{"categories":3091},[47],{"categories":3093},[108],{"categories":3095},[47],{"categories":3097},[47],{"categories":3099},[47],{"categories":3101},[47],{"categories":3103},[47,264],{"categories":3105},[47],{"categories":3107},[47],{"categories":3109},[188],{"categories":3111},[94],{"categories":3113},[],{"categories":3115},[94],{"categories":3117},[94],{"categories":3119},[47],{"categories":3121},[47],{"categories":3123},[47],{"categories":3125},[47],{"categories":3127},[47],{"categories":3129},[111],{"categories":3131},[47],{"categories":3133},[47],{"categories":3135},[2723],{"categories":3137},[84],{"categories":3139},[47],{"categories":3141},[111],{"categories":3143},[84],{"categories":3145},[108],{"categories":3147},[188],{"categories":3149},[94],{"categories":3151},[47],{"categories":3153},[47],{"categories":3155},[],{"categories":3157},[89],{"categories":3159},[47],{"categories":3161},[47],{"categories":3163},[133],{"categories":3165},[47],{"categories":3167},[47],{"categories":3169},[47],{"categories":3171},[94],{"categories":3173},[47],{"categories":3175},[47],{"categories":3177},[188],{"categories":3179},[47],{"categories":3181},[89],{"categories":3183},[],{"categories":3185},[264],{"categories":3187},[47],{"categories":3189},[370],{"categories":3191},[188],{"categories":3193},[188],{"categories":3195},[108],{"categories":3197},[94],{"categories":3199},[47],{"categories":3201},[89],{"categories":3203},[133],{"categories":3205},[47],{"categories":3207},[47],{"categories":3209},[47],{"categories":3211},[188],{"categories":3213},[94],{"categories":3215},[47],{"categories":3217},[94],{"categories":3219},[47],{"categories":3221},[94],{"categories":3223},[47],{"categories":3225},[524],{"categories":3227},[47],{"categories":3229},[94],{"categories":3231},[],{"categories":3233},[47],{"categories":3235},[47],{"categories":3237},[47],{"categories":3239},[47],{"categories":3241},[94],{"categories":3243},[],{"categories":3245},[],{"categories":3247},[47],{"categories":3249},[47],{"categories":3251},[94],{"categories":3253},[47],{"categories":3255},[47],{"categories":3257},[47],{"categories":3259},[108],{"categories":3261},[47],{"categories":3263},[47],{"categories":3265},[94],{"categories":3267},[47],{"categories":3269},[47],{"categories":3271},[47],{"categories":3273},[47],{"categories":3275},[47],{"categories":3277},[],{"categories":3279},[108],{"categories":3281},[111],{"categories":3283},[47],{"categories":3285},[94],{"categories":3287},[94],{"categories":3289},[47],{"categories":3291},[47],{"categories":3293},[],{"categories":3295},[],{"categories":3297},[47],{"categories":3299},[47],{"categories":3301},[47],{"categories":3303},[133],{"categories":3305},[111],{"categories":3307},[],{"categories":3309},[47],{"categories":3311},[188],{"categories":3313},[47],{"categories":3315},[47],{"categories":3317},[264],{"categories":3319},[1933],{"categories":3321},[47],{"categories":3323},[133],{"categories":3325},[108],{"categories":3327},[47],{"categories":3329},[108],{"categories":3331},[108],{"categories":3333},[47],{"categories":3335},[47],{"categories":3337},[108],{"categories":3339},[133],{"categories":3341},[133],{"categories":3343},[264],{"categories":3345},[94],{"categories":3347},[],{"categories":3349},[133],{"categories":3351},[89],{"categories":3353},[47],{"categories":3355},[94],{"categories":3357},[84],{"categories":3359},[108],{"categories":3361},[47],{"categories":3363},[89],{"categories":3365},[133],{"categories":3367},[],{"categories":3369},[47],{"categories":3371},[108],{"categories":3373},[47],{"categories":3375},[108],{"categories":3377},[111],{"categories":3379},[47],{"categories":3381},[133],{"categories":3383},[47],{"categories":3385},[108],{"categories":3387},[94],{"categories":3389},[94],{"categories":3391},[133],{"categories":3393},[94],{"categories":3395},[264],{"categories":3397},[94],{"categories":3399},[47],{"categories":3401},[47],{"categories":3403},[47],{"categories":3405},[47],{"categories":3407},[47],{"categories":3409},[47],{"categories":3411},[108],{"categories":3413},[47],{"categories":3415},[],{"categories":3417},[94],{"categories":3419},[89],{"categories":3421},[108],{"categories":3423},[],{"categories":3425},[],{"categories":3427},[47],{"categories":3429},[94],{"categories":3431},[47],{"categories":3433},[47],{"categories":3435},[47],{"categories":3437},[3438],"Frameworks & Tooling",{"categories":3440},[47],{"categories":3442},[47],{"categories":3444},[108],{"categories":3446},[47],{"categories":3448},[47],{"categories":3450},[],{"categories":3452},[111],{"categories":3454},[111],{"categories":3456},[47],{"categories":3458},[84],{"categories":3460},[47],{"categories":3462},[94],{"categories":3464},[47],{"categories":3466},[188],{"categories":3468},[],{"categories":3470},[1933],{"categories":3472},[47],{"categories":3474},[108],{"categories":3476},[47],{"categories":3478},[264],{"categories":3480},[264],{"categories":3482},[],{"categories":3484},[47],{"categories":3486},[94],{"categories":3488},[94],{"categories":3490},[47],{"categories":3492},[47],{"categories":3494},[133],{"categories":3496},[94],{"categories":3498},[133],{"categories":3500},[47],{"categories":3502},[94],{"categories":3504},[],{"categories":3506},[188],{"categories":3508},[47],{"categories":3510},[47],{"categories":3512},[],{"categories":3514},[47],{"categories":3516},[94],{"categories":3518},[47],{"categories":3520},[47],{"categories":3522},[47],{"categories":3524},[],{"categories":3526},[89],{"categories":3528},[108],{"categories":3530},[47],{"categories":3532},[108],{"categories":3534},[264],{"categories":3536},[47],{"categories":3538},[47],{"categories":3540},[47],{"categories":3542},[108],{"categories":3544},[47],{"categories":3546},[89],{"categories":3548},[47],{"categories":3550},[1933],{"categories":3552},[],{"categories":3554},[94],{"categories":3556},[84],{"categories":3558},[47],{"categories":3560},[84],{"categories":3562},[47],{"categories":3564},[],{"categories":3566},[94],{"categories":3568},[47],{"categories":3570},[47],{"categories":3572},[3573],"AI Design Tooling",{"categories":3575},[188],{"categories":3577},[47],{"categories":3579},[47],{"categories":3581},[108],{"categories":3583},[188],{"categories":3585},[47],{"categories":3587},[47],{"categories":3589},[108],{"categories":3591},[94],{"categories":3593},[133],{"categories":3595},[97],{"categories":3597},[108],{"categories":3599},[47],{"categories":3601},[47],{"categories":3603},[47],{"categories":3605},[94],{"categories":3607},[47],{"categories":3609},[],{"categories":3611},[94],{"categories":3613},[47],{"categories":3615},[47],{"categories":3617},[94],{"categories":3619},[47],{"categories":3621},[47],{"categories":3623},[47],{"categories":3625},[94],{"categories":3627},[],{"categories":3629},[94],{"categories":3631},[3438],{"categories":3633},[47],{"categories":3635},[47],{"categories":3637},[94],{"categories":3639},[94],{"categories":3641},[108],{"categories":3643},[108],{"categories":3645},[47],{"categories":3647},[47],{"categories":3649},[],{"categories":3651},[108],{"categories":3653},[47],{"categories":3655},[47],{"categories":3657},[94],{"categories":3659},[89],{"categories":3661},[47],{"categories":3663},[],{"categories":3665},[47],{"categories":3667},[47],{"categories":3669},[2444],{"categories":3671},[],{"categories":3673},[47],{"categories":3675},[47],{"categories":3677},[47],{"categories":3679},[47],{"categories":3681},[188],{"categories":3683},[47],{"categories":3685},[],{"categories":3687},[47],{"categories":3689},[47],{"categories":3691},[47],{"categories":3693},[47],{"categories":3695},[221],{"categories":3697},[133],{"categories":3699},[47],{"categories":3701},[47],{"categories":3703},[1933],{"categories":3705},[47],{"categories":3707},[84],{"categories":3709},[47],{"categories":3711},[47],{"categories":3713},[111],{"categories":3715},[94],{"categories":3717},[47],{"categories":3719},[47],{"categories":3721},[133],{"categories":3723},[94],{"categories":3725},[97],{"categories":3727},[],{"categories":3729},[47],{"categories":3731},[47],{"categories":3733},[188],{"categories":3735},[47],{"categories":3737},[221],{"categories":3739},[94],{"categories":3741},[47],{"categories":3743},[94],{"categories":3745},[47],{"categories":3747},[],{"categories":3749},[],{"categories":3751},[],{"categories":3753},[84],{"categories":3755},[133],{"categories":3757},[94],{"categories":3759},[47],{"categories":3761},[47],{"categories":3763},[47],{"categories":3765},[47],{"categories":3767},[393],{"categories":3769},[188],{"categories":3771},[94],{"categories":3773},[47],{"categories":3775},[],{"categories":3777},[47],{"categories":3779},[94],{"categories":3781},[94],{"categories":3783},[],{"categories":3785},[47],{"categories":3787},[94],{"categories":3789},[47],{"categories":3791},[],{"categories":3793},[97],{"categories":3795},[47],{"categories":3797},[47],{"categories":3799},[47],{"categories":3801},[133],{"categories":3803},[188],{"categories":3805},[94],{"categories":3807},[188],{"categories":3809},[94],{"categories":3811},[47],{"categories":3813},[89],{"categories":3815},[],{"categories":3817},[],{"categories":3819},[47],{"categories":3821},[47],{"categories":3823},[47],{"categories":3825},[84],{"categories":3827},[47],{"categories":3829},[94],{"categories":3831},[133],{"categories":3833},[],{"categories":3835},[188],{"categories":3837},[94],{"categories":3839},[],{"categories":3841},[108],{"categories":3843},[47],{"categories":3845},[108],{"categories":3847},[188],{"categories":3849},[108],{"categories":3851},[47],{"categories":3853},[],{"categories":3855},[47],{"categories":3857},[47],{"categories":3859},[94],{"categories":3861},[],{"categories":3863},[47],{"categories":3865},[47],{"categories":3867},[221],{"categories":3869},[47],{"categories":3871},[47],{"categories":3873},[47],{"categories":3875},[264],{"categories":3877},[108],{"categories":3879},[47],{"categories":3881},[94],{"categories":3883},[],{"categories":3885},[47],{"categories":3887},[94],{"categories":3889},[47],{"categories":3891},[84],{"categories":3893},[524],{"categories":3895},[47],{"categories":3897},[47],{"categories":3899},[47],{"categories":3901},[94],{"categories":3903},[47],{"categories":3905},[94],{"categories":3907},[47],{"categories":3909},[47],{"categories":3911},[47],{"categories":3913},[94],{"categories":3915},[97],{"categories":3917},[47],{"categories":3919},[47],{"categories":3921},[],{"categories":3923},[47],{"categories":3925},[47],{"categories":3927},[84],{"categories":3929},[47],{"categories":3931},[89],{"categories":3933},[108],{"categories":3935},[188],{"categories":3937},[],{"categories":3939},[47],{"categories":3941},[],{"categories":3943},[94],{"categories":3945},[47],{"categories":3947},[94],{"categories":3949},[],{"categories":3951},[94],{"categories":3953},[47],{"categories":3955},[108],{"categories":3957},[188],{"categories":3959},[133],{"categories":3961},[47],{"categories":3963},[133],{"categories":3965},[94],{"categories":3967},[47],{"categories":3969},[188],{"categories":3971},[47],{"categories":3973},[],{"categories":3975},[47],{"categories":3977},[122],{"categories":3979},[94],{"categories":3981},[47],{"categories":3983},[188],{"categories":3985},[133],{"categories":3987},[47],{"categories":3989},[89],{"categories":3991},[108],{"categories":3993},[47],{"categories":3995},[47],{"categories":3997},[47],{"categories":3999},[47],{"categories":4001},[47],{"categories":4003},[133],{"categories":4005},[108],{"categories":4007},[221],{"categories":4009},[],{"categories":4011},[],{"categories":4013},[111],{"categories":4015},[455],{"categories":4017},[47],{"categories":4019},[94],{"categories":4021},[47,108],{"categories":4023},[133],{"categories":4025},[47],{"categories":4027},[47],{"categories":4029},[47],{"categories":4031},[47],{"categories":4033},[47],{"categories":4035},[47],{"categories":4037},[47],{"categories":4039},[94],{"categories":4041},[47],{"categories":4043},[47],{"categories":4045},[94],{"categories":4047},[47],{"categories":4049},[47],{"categories":4051},[47],{"categories":4053},[],{"categories":4055},[47],{"categories":4057},[1293],{"categories":4059},[108],{"categories":4061},[188],{"categories":4063},[47],{"categories":4065},[47],{"categories":4067},[47],{"categories":4069},[47],{"categories":4071},[111],{"categories":4073},[94],{"categories":4075},[221],{"categories":4077},[264],{"categories":4079},[],{"categories":4081},[108],{"categories":4083},[47],{"categories":4085},[89],{"categories":4087},[94],{"categories":4089},[47],{"categories":4091},[84],{"categories":4093},[94],{"categories":4095},[47],{"categories":4097},[94],{"categories":4099},[94],{"categories":4101},[97],{"categories":4103},[108],{"categories":4105},[47],{"categories":4107},[47],{"categories":4109},[],{"categories":4111},[],{"categories":4113},[],{"categories":4115},[264],{"categories":4117},[47],{"categories":4119},[133],{"categories":4121},[47],{"categories":4123},[47],{"categories":4125},[47],{"categories":4127},[47],{"categories":4129},[108],{"categories":4131},[47],{"categories":4133},[],{"categories":4135},[47],{"categories":4137},[111],{"categories":4139},[89],{"categories":4141},[94],{"categories":4143},[47],{"categories":4145},[],{"categories":4147},[47],{"categories":4149},[94],{"categories":4151},[108],{"categories":4153},[47],{"categories":4155},[47],{"categories":4157},[47],{"categories":4159},[264],{"categories":4161},[],{"categories":4163},[188],{"categories":4165},[188],{"categories":4167},[47],{"categories":4169},[94],{"categories":4171},[],{"categories":4173},[108],{"categories":4175},[47],{"categories":4177},[188],{"categories":4179},[47],{"categories":4181},[89],{"categories":4183},[94],{"categories":4185},[47],{"categories":4187},[],{"categories":4189},[133],{"categories":4191},[47],{"categories":4193},[47],{"categories":4195},[47],{"categories":4197},[47],{"categories":4199},[47],{"categories":4201},[188],{"categories":4203},[94],{"categories":4205},[133],{"categories":4207},[],{"categories":4209},[94],{"categories":4211},[47],{"categories":4213},[89],{"categories":4215},[94],{"categories":4217},[188],{"categories":4219},[47],{"categories":4221},[47],{"categories":4223},[47],{"categories":4225},[455],{"categories":4227},[47],{"categories":4229},[94],{"categories":4231},[],{"categories":4233},[47],{"categories":4235},[47],{"categories":4237},[264],{"categories":4239},[133],{"categories":4241},[111],{"categories":4243},[570],{"categories":4245},[111],{"categories":4247},[111],{"categories":4249},[47],{"categories":4251},[],{"categories":4253},[],{"categories":4255},[],{"categories":4257},[94],{"categories":4259},[47],{"categories":4261},[47],{"categories":4263},[94],{"categories":4265},[94],{"categories":4267},[108],{"categories":4269},[47],{"categories":4271},[426],{"categories":4273},[108],{"categories":4275},[47],{"categories":4277},[94],{"categories":4279},[47],{"categories":4281},[47],{"categories":4283},[47],{"categories":4285},[89],{"categories":4287},[47],{"categories":4289},[47],{"categories":4291},[47],{"categories":4293},[47],{"categories":4295},[94],{"categories":4297},[97],{"categories":4299},[47],{"categories":4301},[],{"categories":4303},[],{"categories":4305},[47],{"categories":4307},[],{"categories":4309},[47],{"categories":4311},[94],{"categories":4313},[188],{"categories":4315},[47],{"categories":4317},[47],{"categories":4319},[94],{"categories":4321},[],{"categories":4323},[94],{"categories":4325},[47],{"categories":4327},[47],{"categories":4329},[97],{"categories":4331},[47],{"categories":4333},[188],{"categories":4335},[47],{"categories":4337},[94],{"categories":4339},[89],{"categories":4341},[47],{"categories":4343},[47],{"categories":4345},[47],{"categories":4347},[221],{"categories":4349},[94],{"categories":4351},[47],{"categories":4353},[47],{"categories":4355},[47],{"categories":4357},[906],{"categories":4359},[47],{"categories":4361},[94],{"categories":4363},[47],{"categories":4365},[108],{"categories":4367},[47],{"categories":4369},[524],{"categories":4371},[188],{"categories":4373},[],{"categories":4375},[47],{"categories":4377},[47],{"categories":4379},[133],{"categories":4381},[455],{"categories":4383},[94],{"categories":4385},[47],{"categories":4387},[],{"categories":4389},[133],{"categories":4391},[370],{"categories":4393},[94],{"categories":4395},[94],{"categories":4397},[94],{"categories":4399},[47],{"categories":4401},[47],{"categories":4403},[94],{"categories":4405},[47],{"categories":4407},[],{"categories":4409},[89],{"categories":4411},[47],{"categories":4413},[188],{"categories":4415},[89],{"categories":4417},[94],{"categories":4419},[108],{"categories":4421},[],{"categories":4423},[108],{"categories":4425},[47],{"categories":4427},[47],{"categories":4429},[84],{"categories":4431},[47],{"categories":4433},[133],{"categories":4435},[264],{"categories":4437},[122],{"categories":4439},[94],{"categories":4441},[94],{"categories":4443},[47],{"categories":4445},[47],{"categories":4447},[94],{"categories":4449},[47],{"categories":4451},[84],{"categories":4453},[],{"categories":4455},[94],{"categories":4457},[47],{"categories":4459},[47],{"categories":4461},[47],{"categories":4463},[94],{"categories":4465},[47],{"categories":4467},[],{"categories":4469},[47],{"categories":4471},[],{"categories":4473},[188],{"categories":4475},[94],{"categories":4477},[94],{"categories":4479},[47,89],{"categories":4481},[94],{"categories":4483},[47],{"categories":4485},[],{"categories":4487},[84],{"categories":4489},[111],{"categories":4491},[89],{"categories":4493},[94],{"categories":4495},[47],{"categories":4497},[108],{"categories":4499},[47],{"categories":4501},[47],{"categories":4503},[94],{"categories":4505},[47],{"categories":4507},[47],{"categories":4509},[47],{"categories":4511},[133],{"categories":4513},[1293],{"categories":4515},[94],{"categories":4517},[47],{"categories":4519},[],{"categories":4521},[],{"categories":4523},[47],{"categories":4525},[94],{"categories":4527},[47],{"categories":4529},[47],{"categories":4531},[264],{"categories":4533},[],{"categories":4535},[47],{"categories":4537},[94],{"categories":4539},[122],{"categories":4541},[94],{"categories":4543},[47],{"categories":4545},[455],{"categories":4547},[],{"categories":4549},[393],{"categories":4551},[47],{"categories":4553},[94],{"categories":4555},[47],{"categories":4557},[47],{"categories":4559},[47],{"categories":4561},[221],{"categories":4563},[47],{"categories":4565},[94],{"categories":4567},[47],{"categories":4569},[111],{"categories":4571},[97],{"categories":4573},[94],{"categories":4575},[47],{"categories":4577},[455],{"categories":4579},[47],{"categories":4581},[264],{"categories":4583},[89],{"categories":4585},[],{"categories":4587},[47],{"categories":4589},[47],{"categories":4591},[221],{"categories":4593},[188],{"categories":4595},[47],{"categories":4597},[47],{"categories":4599},[47],{"categories":4601},[],{"categories":4603},[221],{"categories":4605},[133],{"categories":4607},[47],{"categories":4609},[47],{"categories":4611},[47],{"categories":4613},[570],{"categories":4615},[84],{"categories":4617},[47],{"categories":4619},[97],{"categories":4621},[47],{"categories":4623},[47],{"categories":4625},[],{"categories":4627},[],{"categories":4629},[188],{"categories":4631},[47],{"categories":4633},[47],{"categories":4635},[111],{"categories":4637},[221],{"categories":4639},[94],{"categories":4641},[47],{"categories":4643},[47],{"categories":4645},[221],{"categories":4647},[89],{"categories":4649},[133],{"categories":4651},[47],{"categories":4653},[],{"categories":4655},[47],{"categories":4657},[47],{"categories":4659},[],{"categories":4661},[47],{"categories":4663},[47],{"categories":4665},[597],{"categories":4667},[47],{"categories":4669},[47],{"categories":4671},[94],{"categories":4673},[108],{"categories":4675},[455],{"categories":4677},[47],{"categories":4679},[89],{"categories":4681},[47],{"categories":4683},[47],{"categories":4685},[],{"categories":4687},[47,108],{"categories":4689},[133],{"categories":4691},[94],{"categories":4693},[108],{"categories":4695},[94],{"categories":4697},[946],{"categories":4699},[108],{"categories":4701},[108],{"categories":4703},[94],{"categories":4705},[47],{"categories":4707},[84],{"categories":4709},[47],{"categories":4711},[],{"categories":4713},[],{"categories":4715},[94],{"categories":4717},[47],{"categories":4719},[108],{"categories":4721},[94],{"categories":4723},[47],{"categories":4725},[84],{"categories":4727},[108],{"categories":4729},[108],{"categories":4731},[47],{"categories":4733},[221],{"categories":4735},[47],{"categories":4737},[47],{"categories":4739},[108],{"categories":4741},[47],{"categories":4743},[],{"categories":4745},[47],{"categories":4747},[47],{"categories":4749},[188,47],{"categories":4751},[264],{"categories":4753},[84],{"categories":4755},[47],{"categories":4757},[],{"categories":4759},[47],{"categories":4761},[47],{"categories":4763},[89],{"categories":4765},[47],{"categories":4767},[89],{"categories":4769},[47],{"categories":4771},[47],{"categories":4773},[370],{"categories":4775},[47],{"categories":4777},[89],{"categories":4779},[108],{"categories":4781},[111],{"categories":4783},[94],{"categories":4785},[47],{"categories":4787},[108],{"categories":4789},[47],{"categories":4791},[47],{"categories":4793},[133],{"categories":4795},[47],{"categories":4797},[221],{"categories":4799},[188],{"categories":4801},[47],{"categories":4803},[47],{"categories":4805},[97],{"categories":4807},[47],{"categories":4809},[47],{"categories":4811},[84],{"categories":4813},[47],{"categories":4815},[94],{"categories":4817},[94],{"categories":4819},[108],{"categories":4821},[47],{"categories":4823},[133],{"categories":4825},[108],{"categories":4827},[108],{"categories":4829},[47],{"categories":4831},[47],{"categories":4833},[],{"categories":4835},[],{"categories":4837},[111],{"categories":4839},[47],{"categories":4841},[108],{"categories":4843},[47],{"categories":4845},[188],{"categories":4847},[455],{"categories":4849},[393],{"categories":4851},[370],{"categories":4853},[47],{"categories":4855},[47],{"categories":4857},[108],{"categories":4859},[47],{"categories":4861},[111],{"categories":4863},[47],{"categories":4865},[47],{"categories":4867},[47],{"categories":4869},[47],{"categories":4871},[47],{"categories":4873},[47],{"categories":4875},[47],{"categories":4877},[94],{"categories":4879},[84],{"categories":4881},[97],{"categories":4883},[94],{"categories":4885},[47,89],{"categories":4887},[],{"categories":4889},[188],{"categories":4891},[],{"categories":4893},[97],{"categories":4895},[47],{"categories":4897},[133],{"categories":4899},[84],{"categories":4901},[47],{"categories":4903},[84],{"categories":4905},[94],{"categories":4907},[111],{"categories":4909},[94],{"categories":4911},[89],{"categories":4913},[97],{"categories":4915},[47],{"categories":4917},[94],{"categories":4919},[47],{"categories":4921},[97],{"categories":4923},[47],{"categories":4925},[47],{"categories":4927},[89],{"categories":4929},[94],{"categories":4931},[108],{"categories":4933},[221],{"categories":4935},[47],{"categories":4937},[47],{"categories":4939},[],{"categories":4941},[133],{"categories":4943},[47],{"categories":4945},[47],{"categories":4947},[47],{"categories":4949},[47],{"categories":4951},[47],{"categories":4953},[47],{"categories":4955},[108],{"categories":4957},[133],{"categories":4959},[108],{"categories":4961},[108],{"categories":4963},[47],{"categories":4965},[47],{"categories":4967},[47],{"categories":4969},[47],{"categories":4971},[393],{"categories":4973},[47],{"categories":4975},[94],{"categories":4977},[94],{"categories":4979},[133],{"categories":4981},[47],{"categories":4983},[47],{"categories":4985},[47],{"categories":4987},[94],{"categories":4989},[47],{"categories":4991},[47],{"categories":4993},[47],{"categories":4995},[3438],{"categories":4997},[4998],"Clinical AI",{"categories":5000},[188],{"categories":5002},[47],{"categories":5004},[47],{"categories":5006},[47],{"categories":5008},[47],{"categories":5010},[264],{"categories":5012},[2723],{"categories":5014},[47],{"categories":5016},[97],{"categories":5018},[188],{"categories":5020},[47],{"categories":5022},[94],{"categories":5024},[47],{"categories":5026},[47],{"categories":5028},[133],{"categories":5030},[47],{"categories":5032},[94],{"categories":5034},[108],{"categories":5036},[221],{"categories":5038},[47],{"categories":5040},[47],{"categories":5042},[89],{"categories":5044},[47],{"categories":5046},[47],{"categories":5048},[524],{"categories":5050},[47],{"categories":5052},[],{"categories":5054},[94],{"categories":5056},[47],{"categories":5058},[108],{"categories":5060},[84],{"categories":5062},[47],{"categories":5064},[],{"categories":5066},[],{"categories":5068},[47],{"categories":5070},[],{"categories":5072},[89],{"categories":5074},[47],{"categories":5076},[47],{"categories":5078},[94],{"categories":5080},[94],{"categories":5082},[47],{"categories":5084},[133],{"categories":5086},[133],{"categories":5088},[133],{"categories":5090},[133],{"categories":5092},[],{"categories":5094},[84],{"categories":5096},[94],{"categories":5098},[133],{"categories":5100},[47],{"categories":5102},[597],{"categories":5104},[97],{"categories":5106},[94],{"categories":5108},[47],{"categories":5110},[84],{"categories":5112},[47],{"categories":5114},[94],{"categories":5116},[47],{"categories":5118},[47],{"categories":5120},[47],{"categories":5122},[47],{"categories":5124},[47],{"categories":5126},[47,94],{"categories":5128},[94],{"categories":5130},[264],{"categories":5132},[133],{"categories":5134},[94],{"categories":5136},[133],{"categories":5138},[94],{"categories":5140},[47],{"categories":5142},[],{"categories":5144},[133],{"categories":5146},[221],{"categories":5148},[84],{"categories":5150},[47],{"categories":5152},[47],{"categories":5154},[],{"categories":5156},[108],{"categories":5158},[],{"categories":5160},[84],{"categories":5162},[94],{"categories":5164},[133],{"categories":5166},[47],{"categories":5168},[133],{"categories":5170},[84],{"categories":5172},[133],{"categories":5174},[133],{"categories":5176},[],{"categories":5178},[89],{"categories":5180},[94],{"categories":5182},[133],{"categories":5184},[133],{"categories":5186},[133],{"categories":5188},[133],{"categories":5190},[133],{"categories":5192},[133],{"categories":5194},[133],{"categories":5196},[133],{"categories":5198},[133],{"categories":5200},[133],{"categories":5202},[111],{"categories":5204},[84],{"categories":5206},[47],{"categories":5208},[47],{"categories":5210},[94],{"categories":5212},[94],{"categories":5214},[],{"categories":5216},[47],{"categories":5218},[47,84],{"categories":5220},[],{"categories":5222},[94],{"categories":5224},[47],{"categories":5226},[133],{"categories":5228},[94],{"categories":5230},[94],{"categories":5232},[946],{"categories":5234},[47],{"categories":5236},[47],{"categories":5238},[47],{"categories":5240},[47],{"categories":5242},[97],{"categories":5244},[47],{"categories":5246},[47],{"categories":5248},[370],{"categories":5250},[47],{"categories":5252},[47],{"categories":5254},[94],{"categories":5256},[47],{"categories":5258},[47],{"categories":5260},[47],{"categories":5262},[47],{"categories":5264},[89],{"categories":5266},[97],{"categories":5268},[94],{"categories":5270},[94],{"categories":5272},[],{"categories":5274},[94],{"categories":5276},[188],{"categories":5278},[133],{"categories":5280},[47],{"categories":5282},[],{"categories":5284},[47],{"categories":5286},[97],{"categories":5288},[],{"categories":5290},[108],{"categories":5292},[47],{"categories":5294},[94],{"categories":5296},[188],{"categories":5298},[47],{"categories":5300},[47],{"categories":5302},[],{"categories":5304},[47],{"categories":5306},[47],{"categories":5308},[],{"categories":5310},[221],{"categories":5312},[47],{"categories":5314},[94],{"categories":5316},[],{"categories":5318},[],{"categories":5320},[133],{"categories":5322},[84],{"categories":5324},[47],{"categories":5326},[47],{"categories":5328},[89],{"categories":5330},[47],{"categories":5332},[47],{"categories":5334},[94],{"categories":5336},[47],{"categories":5338},[89],{"categories":5340},[89],{"categories":5342},[188],{"categories":5344},[],{"categories":5346},[47],{"categories":5348},[133],{"categories":5350},[],{"categories":5352},[47],{"categories":5354},[47],{"categories":5356},[188],{"categories":5358},[47],{"categories":5360},[47],{"categories":5362},[221],{"categories":5364},[47],{"categories":5366},[264],{"categories":5368},[],{"categories":5370},[94],{"categories":5372},[47],{"categories":5374},[221],{"categories":5376},[108],{"categories":5378},[],{"categories":5380},[47],{"categories":5382},[],{"categories":5384},[94],{"categories":5386},[188],{"categories":5388},[108],{"categories":5390},[],{"categories":5392},[3438],{"categories":5394},[89],{"categories":5396},[84],{"categories":5398},[47],{"categories":5400},[94],{"categories":5402},[111],{"categories":5404},[94],{"categories":5406},[47],{"categories":5408},[188],{"categories":5410},[47],{"categories":5412},[47],{"categories":5414},[108],{"categories":5416},[],{"categories":5418},[],{"categories":5420},[47],{"categories":5422},[84],{"categories":5424},[47],{"categories":5426},[221],{"categories":5428},[],{"categories":5430},[94],{"categories":5432},[94],{"categories":5434},[47],{"categories":5436},[94],{"categories":5438},[47],{"categories":5440},[133],{"categories":5442},[47],{"categories":5444},[108],{"categories":5446},[47],{"categories":5448},[94],{"categories":5450},[97],{"categories":5452},[47],{"categories":5454},[47],{"categories":5456},[47],{"categories":5458},[47],{"categories":5460},[94],{"categories":5462},[47],{"categories":5464},[97],{"categories":5466},[221],{"categories":5468},[133],{"categories":5470},[],{"categories":5472},[221],{"categories":5474},[47],{"categories":5476},[],{"categories":5478},[108],{"categories":5480},[94],{"categories":5482},[],{"categories":5484},[47],{"categories":5486},[47],{"categories":5488},[47],{"categories":5490},[47],{"categories":5492},[47],{"categories":5494},[94],{"categories":5496},[89],{"categories":5498},[84],{"categories":5500},[47],{"categories":5502},[47],{"categories":5504},[94],{"categories":5506},[47],{"categories":5508},[188],{"categories":5510},[108],{"categories":5512},[108],{"categories":5514},[47],{"categories":5516},[111],{"categories":5518},[94],{"categories":5520},[47],{"categories":5522},[47],{"categories":5524},[94],{"categories":5526},[47],{"categories":5528},[47],{"categories":5530},[47],{"categories":5532},[94],{"categories":5534},[89],{"categories":5536},[47],{"categories":5538},[188],{"categories":5540},[108],{"categories":5542},[94],{"categories":5544},[47],{"categories":5546},[97],{"categories":5548},[47],{"categories":5550},[97],{"categories":5552},[94],{"categories":5554},[47],{"categories":5556},[47],{"categories":5558},[133],{"categories":5560},[47],{"categories":5562},[],{"categories":5564},[84],{"categories":5566},[47],{"categories":5568},[47],{"categories":5570},[47],{"categories":5572},[108],{"categories":5574},[108],{"categories":5576},[47],{"categories":5578},[108],{"categories":5580},[47],{"categories":5582},[94],{"categories":5584},[47],{"categories":5586},[47],{"categories":5588},[47],{"categories":5590},[47],{"categories":5592},[47],{"categories":5594},[],{"categories":5596},[47],{"categories":5598},[188],{"categories":5600},[94],{"categories":5602},[89],{"categories":5604},[133],{"categories":5606},[47],{"categories":5608},[94],{"categories":5610},[47],{"categories":5612},[94],{"categories":5614},[47],{"categories":5616},[47],{"categories":5618},[188],{"categories":5620},[94],{"categories":5622},[47],{"categories":5624},[221],{"categories":5626},[89],{"categories":5628},[47],{"categories":5630},[111],{"categories":5632},[47],{"categories":5634},[47],{"categories":5636},[133],{"categories":5638},[47],{"categories":5640},[47],{"categories":5642},[47],{"categories":5644},[47],{"categories":5646},[94],{"categories":5648},[264],{"categories":5650},[47],{"categories":5652},[108],{"categories":5654},[94],{"categories":5656},[111],{"categories":5658},[],{"categories":5660},[94],{"categories":5662},[108],{"categories":5664},[47],{"categories":5666},[47],{"categories":5668},[47],{"categories":5670},[2545],{"categories":5672},[47],{"categories":5674},[188],{"categories":5676},[299],{"categories":5678},[47],{"categories":5680},[47],{"categories":5682},[47],{"categories":5684},[47],{"categories":5686},[47],{"categories":5688},[84],{"categories":5690},[94],{"categories":5692},[47],{"categories":5694},[47],{"categories":5696},[108],{"categories":5698},[89],{"categories":5700},[47],{"categories":5702},[47],{"categories":5704},[108],{"categories":5706},[47],{"categories":5708},[],{"categories":5710},[94],{"categories":5712},[94],{"categories":5714},[47],{"categories":5716},[47],{"categories":5718},[47],{"categories":5720},[111],{"categories":5722},[],{"categories":5724},[133],{"categories":5726},[],{"categories":5728},[133],{"categories":5730},[47],{"categories":5732},[47],{"categories":5734},[47],{"categories":5736},[94],{"categories":5738},[47],{"categories":5740},[94],{"categories":5742},[94],{"categories":5744},[],{"categories":5746},[47],{"categories":5748},[133],{"categories":5750},[47],{"categories":5752},[],{"categories":5754},[47],{"categories":5756},[47],{"categories":5758},[],{"categories":5760},[47],{"categories":5762},[47],{"categories":5764},[188],{"categories":5766},[108],{"categories":5768},[94],{"categories":5770},[47],{"categories":5772},[47],{"categories":5774},[47],{"categories":5776},[47],{"categories":5778},[47],{"categories":5780},[221],{"categories":5782},[47],{"categories":5784},[47],{"categories":5786},[47],{"categories":5788},[84],{"categories":5790},[47],{"categories":5792},[47],{"categories":5794},[],{"categories":5796},[47],{"categories":5798},[47],{"categories":5800},[47],{"categories":5802},[],{"categories":5804},[94],{"categories":5806},[84],{"categories":5808},[47],{"categories":5810},[47],{"categories":5812},[47],{"categories":5814},[47],{"categories":5816},[133],{"categories":5818},[47],{"categories":5820},[108],{"categories":5822},[97],{"categories":5824},[94],{"categories":5826},[455],{"categories":5828},[47],{"categories":5830},[47],{"categories":5832},[47],{"categories":5834},[47],{"categories":5836},[108],{"categories":5838},[133],{"categories":5840},[188],{"categories":5842},[47],{"categories":5844},[47],{"categories":5846},[47],{"categories":5848},[47],{"categories":5850},[47],{"categories":5852},[47],{"categories":5854},[133],{"categories":5856},[47],{"categories":5858},[188],{"categories":5860},[47],{"categories":5862},[47],{"categories":5864},[133],{"categories":5866},[188],{"categories":5868},[47],{"categories":5870},[133],{"categories":5872},[47],{"categories":5874},[94],{"categories":5876},[94],{"categories":5878},[94],{"categories":5880},[47],{"categories":5882},[108],{"categories":5884},[133],{"categories":5886},[94],{"categories":5888},[94],{"categories":5890},[47],{"categories":5892},[108],{"categories":5894},[188],{"categories":5896},[47],{"categories":5898},[47],{"categories":5900},[94],{"categories":5902},[47],{"categories":5904},[],{"categories":5906},[94],{"categories":5908},[],{"categories":5910},[47],{"categories":5912},[47],{"categories":5914},[],{"categories":5916},[],{"categories":5918},[94],{"categories":5920},[89],{"categories":5922},[94],{"categories":5924},[5925],"Liability & Ethics",{"categories":5927},[47],{"categories":5929},[47],{"categories":5931},[47],{"categories":5933},[94],{"categories":5935},[84],{"categories":5937},[94],{"categories":5939},[89],{"categories":5941},[221],{"categories":5943},[47],{"categories":5945},[94],{"categories":5947},[47],{"categories":5949},[47],{"categories":5951},[47],{"categories":5953},[],{"categories":5955},[570],{"categories":5957},[94],{"categories":5959},[],{"categories":5961},[47],{"categories":5963},[84],{"categories":5965},[94],{"categories":5967},[47],{"categories":5969},[],{"categories":5971},[94],{"categories":5973},[47],{"categories":5975},[47],{"categories":5977},[108],{"categories":5979},[47],{"categories":5981},[133],{"categories":5983},[47],{"categories":5985},[47],{"categories":5987},[97],{"categories":5989},[47],{"categories":5991},[94],{"categories":5993},[47],{"categories":5995},[47],{"categories":5997},[47],{"categories":5999},[133],{"categories":6001},[94],{"categories":6003},[108],{"categories":6005},[188],{"categories":6007},[84],{"categories":6009},[47],{"categories":6011},[47],{"categories":6013},[47],{"categories":6015},[],{"categories":6017},[94],{"categories":6019},[94],{"categories":6021},[94],{"categories":6023},[455],{"categories":6025},[94],{"categories":6027},[188],{"categories":6029},[94],{"categories":6031},[264],{"categories":6033},[108],{"categories":6035},[133],{"categories":6037},[47],{"categories":6039},[188],{"categories":6041},[47],{"categories":6043},[84],{"categories":6045},[],{"categories":6047},[47],{"categories":6049},[94],{"categories":6051},[47],{"categories":6053},[47],{"categories":6055},[47],{"categories":6057},[47],{"categories":6059},[94],{"categories":6061},[47],{"categories":6063},[47],{"categories":6065},[188],{"categories":6067},[94],{"categories":6069},[],{"categories":6071},[94],{"categories":6073},[97],{"categories":6075},[47],{"categories":6077},[133],{"categories":6079},[94],{"categories":6081},[89],{"categories":6083},[],{"categories":6085},[47],{"categories":6087},[47],{"categories":6089},[97],{"categories":6091},[47],{"categories":6093},[94],{"categories":6095},[133],{"categories":6097},[84],{"categories":6099},[264],{"categories":6101},[47],{"categories":6103},[47],{"categories":6105},[47],{"categories":6107},[133],{"categories":6109},[89],{"categories":6111},[47],{"categories":6113},[188],{"categories":6115},[133],{"categories":6117},[264],{"categories":6119},[47],{"categories":6121},[94],{"categories":6123},[],{"categories":6125},[524],{"categories":6127},[],{"categories":6129},[47],{"categories":6131},[264],{"categories":6133},[47],{"categories":6135},[111],{"categories":6137},[47],{"categories":6139},[94],{"categories":6141},[94],{"categories":6143},[6144],"Design News & Tools",{"categories":6146},[47],{"categories":6148},[47],{"categories":6150},[133],{"categories":6152},[47],{"categories":6154},[47],{"categories":6156},[47],{"categories":6158},[84],{"categories":6160},[94],{"categories":6162},[47],{"categories":6164},[188],{"categories":6166},[94],{"categories":6168},[94],{"categories":6170},[188],{"categories":6172},[47],{"categories":6174},[47],{"categories":6176},[47],{"categories":6178},[455],{"categories":6180},[94],{"categories":6182},[47],{"categories":6184},[94],{"categories":6186},[47],{"categories":6188},[47],{"categories":6190},[455],{"categories":6192},[47],{"categories":6194},[221],{"categories":6196},[47],{"categories":6198},[94],{"categories":6200},[94],{"categories":6202},[],{"categories":6204},[47],{"categories":6206},[47],{"categories":6208},[47],{"categories":6210},[133],{"categories":6212},[47],{"categories":6214},[84],{"categories":6216},[],{"categories":6218},[47],{"categories":6220},[47],{"categories":6222},[47],{"categories":6224},[108],{"categories":6226},[597],{"categories":6228},[108],{"categories":6230},[188],{"categories":6232},[47],{"categories":6234},[47,94],{"categories":6236},[221,89],{"categories":6238},[108],{"categories":6240},[47],{"categories":6242},[47],{"categories":6244},[47],{"categories":6246},[47],{"categories":6248},[],{"categories":6250},[108],{"categories":6252},[94],{"categories":6254},[47],{"categories":6256},[47],{"categories":6258},[],{"categories":6260},[47],{"categories":6262},[108],{"categories":6264},[47],{"categories":6266},[108],{"categories":6268},[47],{"categories":6270},[],{"categories":6272},[94],{"categories":6274},[47],{"categories":6276},[89],{"categories":6278},[47],{"categories":6280},[133],{"categories":6282},[47],{"categories":6284},[],{"categories":6286},[47],{"categories":6288},[94],{"categories":6290},[47],{"categories":6292},[],{"categories":6294},[188],{"categories":6296},[47],{"categories":6298},[47],{"categories":6300},[94],{"categories":6302},[47],{"categories":6304},[47],{"categories":6306},[47],{"categories":6308},[84],{"categories":6310},[47],{"categories":6312},[94],{"categories":6314},[47],{"categories":6316},[],{"categories":6318},[47],{"categories":6320},[264],{"categories":6322},[221],{"categories":6324},[89],{"categories":6326},[89],{"categories":6328},[47],{"categories":6330},[84],{"categories":6332},[84],{"categories":6334},[47],{"categories":6336},[94],{"categories":6338},[47],{"categories":6340},[47],{"categories":6342},[47],{"categories":6344},[47],{"categories":6346},[108],{"categories":6348},[47],{"categories":6350},[84],{"categories":6352},[47],{"categories":6354},[47],{"categories":6356},[94],{"categories":6358},[47],{"categories":6360},[221],{"categories":6362},[47],{"categories":6364},[133],{"categories":6366},[47],{"categories":6368},[47],{"categories":6370},[94],{"categories":6372},[97],{"categories":6374},[47],{"categories":6376},[94],{"categories":6378},[47],{"categories":6380},[94],{"categories":6382},[],{"categories":6384},[108],{"categories":6386},[],{"categories":6388},[108],{"categories":6390},[94],{"categories":6392},[84],{"categories":6394},[47],{"categories":6396},[],{"categories":6398},[111],{"categories":6400},[264],{"categories":6402},[47],{"categories":6404},[108],{"categories":6406},[47],{"categories":6408},[],{"categories":6410},[133],{"categories":6412},[94],{"categories":6414},[108],{"categories":6416},[188],{"categories":6418},[89],{"categories":6420},[47],{"categories":6422},[47],{"categories":6424},[94],{"categories":6426},[108],{"categories":6428},[94],{"categories":6430},[133],{"categories":6432},[47],{"categories":6434},[97],{"categories":6436},[84],{"categories":6438},[97],{"categories":6440},[133],{"categories":6442},[47],{"categories":6444},[47],{"categories":6446},[108],{"categories":6448},[47],{"categories":6450},[188],{"categories":6452},[89],{"categories":6454},[47],{"categories":6456},[47],{"categories":6458},[47],{"categories":6460},[47],{"categories":6462},[47],{"categories":6464},[47],{"categories":6466},[94],{"categories":6468},[47],{"categories":6470},[47],{"categories":6472},[94],{"categories":6474},[47],{"categories":6476},[47],{"categories":6478},[84],{"categories":6480},[47],{"categories":6482},[94],{"categories":6484},[94],{"categories":6486},[188],{"categories":6488},[94],{"categories":6490},[47],{"categories":6492},[94],{"categories":6494},[47],{"categories":6496},[84],{"categories":6498},[94],{"categories":6500},[188],{"categories":6502},[],{"categories":6504},[47],{"categories":6506},[111],{"categories":6508},[455],{"categories":6510},[47],{"categories":6512},[94],{"categories":6514},[47],{"categories":6516},[47],{"categories":6518},[108],{"categories":6520},[47],{"categories":6522},[],{"categories":6524},[47],{"categories":6526},[94],{"categories":6528},[89],{"categories":6530},[47],{"categories":6532},[221],{"categories":6534},[188],{"categories":6536},[47],{"categories":6538},[108],{"categories":6540},[47],{"categories":6542},[47],{"categories":6544},[133],{"categories":6546},[94],{"categories":6548},[47],{"categories":6550},[221],{"categories":6552},[94],{"categories":6554},[89],{"categories":6556},[89],{"categories":6558},[47],{"categories":6560},[47],{"categories":6562},[47],{"categories":6564},[47],{"categories":6566},[47],{"categories":6568},[47],{"categories":6570},[84],{"categories":6572},[47],{"categories":6574},[],{"categories":6576},[47],{"categories":6578},[47],{"categories":6580},[94],{"categories":6582},[47],{"categories":6584},[94],{"categories":6586},[47],{"categories":6588},[47],{"categories":6590},[47],{"categories":6592},[47],{"categories":6594},[47],{"categories":6596},[47],{"categories":6598},[108],{"categories":6600},[],{"categories":6602},[84],{"categories":6604},[47],{"categories":6606},[47],{"categories":6608},[94],{"categories":6610},[94],{"categories":6612},[],{"categories":6614},[108],{"categories":6616},[108],{"categories":6618},[47],{"categories":6620},[221],{"categories":6622},[89],{"categories":6624},[188],{"categories":6626},[47],{"categories":6628},[],{"categories":6630},[47],{"categories":6632},[94],{"categories":6634},[84],{"categories":6636},[47],{"categories":6638},[47],{"categories":6640},[108],{"categories":6642},[84],{"categories":6644},[47],{"categories":6646},[47],{"categories":6648},[133],{"categories":6650},[111],{"categories":6652},[47],{"categories":6654},[133],{"categories":6656},[47],{"categories":6658},[94],{"categories":6660},[47],{"categories":6662},[47],{"categories":6664},[],{"categories":6666},[133],{"categories":6668},[94],{"categories":6670},[188],{"categories":6672},[111],{"categories":6674},[47],{"categories":6676},[47],{"categories":6678},[47],{"categories":6680},[],{"categories":6682},[94],{"categories":6684},[94],{"categories":6686},[94],{"categories":6688},[3438],{"categories":6690},[133],{"categories":6692},[47],{"categories":6694},[108],{"categories":6696},[47],{"categories":6698},[47],{"categories":6700},[47],{"categories":6702},[47],{"categories":6704},[47],{"categories":6706},[94],{"categories":6708},[47],{"categories":6710},[89],{"categories":6712},[47],{"categories":6714},[84],{"categories":6716},[1933],{"categories":6718},[264],{"categories":6720},[84],{"categories":6722},[],{"categories":6724},[97],{"categories":6726},[47],{"categories":6728},[],{"categories":6730},[47],{"categories":6732},[133],{"categories":6734},[94],{"categories":6736},[188],{"categories":6738},[47],{"categories":6740},[94],{"categories":6742},[47],{"categories":6744},[47],{"categories":6746},[47],{"categories":6748},[47],{"categories":6750},[133],{"categories":6752},[],{"categories":6754},[47],{"categories":6756},[94],{"categories":6758},[47],{"categories":6760},[94],{"categories":6762},[94],{"categories":6764},[],{"categories":6766},[47],{"categories":6768},[],{"categories":6770},[133],{"categories":6772},[84],{"categories":6774},[47],{"categories":6776},[188],{"categories":6778},[47],{"categories":6780},[94],{"categories":6782},[133],{"categories":6784},[47],{"categories":6786},[133],{"categories":6788},[],{"categories":6790},[133],{"categories":6792},[47],{"categories":6794},[84],{"categories":6796},[94],{"categories":6798},[455],{"categories":6800},[47],{"categories":6802},[94],{"categories":6804},[47],{"categories":6806},[],{"categories":6808},[108],{"categories":6810},[94],{"categories":6812},[97],{"categories":6814},[94],{"categories":6816},[47],{"categories":6818},[84],{"categories":6820},[47],{"categories":6822},[47],{"categories":6824},[],{"categories":6826},[],{"categories":6828},[],{"categories":6830},[188],{"categories":6832},[47],{"categories":6834},[94],{"categories":6836},[47],{"categories":6838},[47],{"categories":6840},[],{"categories":6842},[],{"categories":6844},[],{"categories":6846},[47],{"categories":6848},[94],{"categories":6850},[188],{"categories":6852},[47],{"categories":6854},[],{"categories":6856},[94],{"categories":6858},[47],{"categories":6860},[47],{"categories":6862},[84],{"categories":6864},[],{"categories":6866},[],{"categories":6868},[47],{"categories":6870},[47],{"categories":6872},[47],{"categories":6874},[94],{"categories":6876},[188],{"categories":6878},[47],{"categories":6880},[133],{"categories":6882},[],{"categories":6884},[47],{"categories":6886},[47],{"categories":6888},[221],{"categories":6890},[133],{"categories":6892},[221],{"categories":6894},[108],{"categories":6896},[111],{"categories":6898},[47],{"categories":6900},[47],{"categories":6902},[],{"categories":6904},[],{"categories":6906},[94],{"categories":6908},[],{"categories":6910},[47],{"categories":6912},[455],{"categories":6914},[47],{"categories":6916},[47],{"categories":6918},[47],{"categories":6920},[47],{"categories":6922},[],{"categories":6924},[94],{"categories":6926},[47],{"categories":6928},[47],{"categories":6930},[],{"categories":6932},[94],{"categories":6934},[94],{"categories":6936},[47],{"categories":6938},[133],{"categories":6940},[47],{"categories":6942},[221],{"categories":6944},[47],{"categories":6946},[94],{"categories":6948},[89],{"categories":6950},[97],{"categories":6952},[47],{"categories":6954},[47],{"categories":6956},[94],{"categories":6958},[111],{"categories":6960},[94],{"categories":6962},[94],{"categories":6964},[],{"categories":6966},[47],{"categories":6968},[94],{"categories":6970},[],{"categories":6972},[47],{"categories":6974},[],{"categories":6976},[133],{"categories":6978},[89],{"categories":6980},[],{"categories":6982},[47],{"categories":6984},[47],{"categories":6986},[47],{"categories":6988},[],{"categories":6990},[94],{"categories":6992},[188],{"categories":6994},[84],{"categories":6996},[47],{"categories":6998},[],{"categories":7000},[89],{"categories":7002},[221],{"categories":7004},[47],{"categories":7006},[108],{"categories":7008},[84],{"categories":7010},[111],{"categories":7012},[89],{"categories":7014},[108],{"categories":7016},[94],{"categories":7018},[108],{"categories":7020},[],{"categories":7022},[47],{"categories":7024},[97],{"categories":7026},[97],{"categories":7028},[47],{"categories":7030},[],{"categories":7032},[94],{"categories":7034},[94],{"categories":7036},[84],{"categories":7038},[188],{"categories":7040},[47],{"categories":7042},[47],{"categories":7044},[84],{"categories":7046},[94],{"categories":7048},[264],{"categories":7050},[47],{"categories":7052},[47],{"categories":7054},[47],{"categories":7056},[47],{"categories":7058},[47],{"categories":7060},[84],{"categories":7062},[47],{"categories":7064},[108],{"categories":7066},[111],{"categories":7068},[94],{"categories":7070},[],{"categories":7072},[47],{"categories":7074},[47],{"categories":7076},[47],{"categories":7078},[108],{"categories":7080},[94],{"categories":7082},[133],{"categories":7084},[108],{"categories":7086},[47],{"categories":7088},[97],{"categories":7090},[],{"categories":7092},[188],{"categories":7094},[108],{"categories":7096},[133],{"categories":7098},[47],{"categories":7100},[47],{"categories":7102},[84],{"categories":7104},[94],{"categories":7106},[47],{"categories":7108},[47],{"categories":7110},[94],{"categories":7112},[97],{"categories":7114},[47],{"categories":7116},[94],{"categories":7118},[47],{"categories":7120},[89],{"categories":7122},[47],{"categories":7124},[94],{"categories":7126},[94,264],{"categories":7128},[47],{"categories":7130},[47],{"categories":7132},[94],{"categories":7134},[108],{"categories":7136},[47],{"categories":7138},[47],{"categories":7140},[47],{"categories":7142},[111],{"categories":7144},[94],{"categories":7146},[221],{"categories":7148},[94],{"categories":7150},[89],{"categories":7152},[],{"categories":7154},[94],{"categories":7156},[47],{"categories":7158},[89],{"categories":7160},[],{"categories":7162},[],{"categories":7164},[47],{"categories":7166},[108],{"categories":7168},[47],{"categories":7170},[47],{"categories":7172},[94],{"categories":7174},[47],{"categories":7176},[111],{"categories":7178},[221],{"categories":7180},[47],{"categories":7182},[47],{"categories":7184},[47],{"categories":7186},[47],{"categories":7188},[94],{"categories":7190},[],{"categories":7192},[94],{"categories":7194},[133],{"categories":7196},[47],{"categories":7198},[94],{"categories":7200},[94],{"categories":7202},[47],{"categories":7204},[],{"categories":7206},[133],{"categories":7208},[108],{"categories":7210},[3438],{"categories":7212},[84],{"categories":7214},[108],{"categories":7216},[47],{"categories":7218},[94],{"categories":7220},[47],{"categories":7222},[47],{"categories":7224},[221],{"categories":7226},[108],{"categories":7228},[111],{"categories":7230},[],{"categories":7232},[133],{"categories":7234},[47],{"categories":7236},[47],{"categories":7238},[],{"categories":7240},[94],{"categories":7242},[47],{"categories":7244},[47],{"categories":7246},[47],{"categories":7248},[47],{"categories":7250},[94],{"categories":7252},[47],{"categories":7254},[47],{"categories":7256},[47],{"categories":7258},[47],{"categories":7260},[97],{"categories":7262},[47],{"categories":7264},[94],{"categories":7266},[47],{"categories":7268},[47],{"categories":7270},[47],{"categories":7272},[47],{"categories":7274},[47],{"categories":7276},[47],{"categories":7278},[47],{"categories":7280},[89],{"categories":7282},[],{"categories":7284},[97],{"categories":7286},[47],{"categories":7288},[133],{"categories":7290},[94],{"categories":7292},[47],{"categories":7294},[108],{"categories":7296},[],{"categories":7298},[108],{"categories":7300},[108],{"categories":7302},[94],{"categories":7304},[108],{"categories":7306},[47],{"categories":7308},[47],{"categories":7310},[47],{"categories":7312},[94],{"categories":7314},[108],{"categories":7316},[47],{"categories":7318},[47],{"categories":7320},[47],{"categories":7322},[94],{"categories":7324},[133],{"categories":7326},[47],{"categories":7328},[47],{"categories":7330},[47],{"categories":7332},[89],{"categories":7334},[47],{"categories":7336},[94],{"categories":7338},[188],{"categories":7340},[],{"categories":7342},[47],{"categories":7344},[47],{"categories":7346},[111],{"categories":7348},[47],{"categories":7350},[94],{"categories":7352},[47],{"categories":7354},[47],{"categories":7356},[],{"categories":7358},[47],{"categories":7360},[47],{"categories":7362},[133],{"categories":7364},[47],{"categories":7366},[47],{"categories":7368},[94],{"categories":7370},[221],{"categories":7372},[],{"categories":7374},[],{"categories":7376},[108],{"categories":7378},[47],{"categories":7380},[47],{"categories":7382},[97],{"categories":7384},[133],{"categories":7386},[47],{"categories":7388},[108],{"categories":7390},[133],{"categories":7392},[47],{"categories":7394},[47],{"categories":7396},[221],{"categories":7398},[111],{"categories":7400},[47],{"categories":7402},[47],{"categories":7404},[84],{"categories":7406},[94],{"categories":7408},[47],{"categories":7410},[47],{"categories":7412},[94],{"categories":7414},[89],{"categories":7416},[94],{"categories":7418},[108],{"categories":7420},[47],{"categories":7422},[89],{"categories":7424},[],{"categories":7426},[47],{"categories":7428},[111],{"categories":7430},[47],{"categories":7432},[47],{"categories":7434},[],{"categories":7436},[133],{"categories":7438},[47],{"categories":7440},[94],{"categories":7442},[111],{"categories":7444},[47],{"categories":7446},[108],{"categories":7448},[108],{"categories":7450},[108],{"categories":7452},[47],{"categories":7454},[94],{"categories":7456},[94],{"categories":7458},[47],{"categories":7460},[94],{"categories":7462},[47],{"categories":7464},[47],{"categories":7466},[188],{"categories":7468},[111],{"categories":7470},[111],{"categories":7472},[],{"categories":7474},[133],{"categories":7476},[47],{"categories":7478},[47],{"categories":7480},[108],{"categories":7482},[],{"categories":7484},[133],{"categories":7486},[133],{"categories":7488},[133],{"categories":7490},[],{"categories":7492},[94],{"categories":7494},[47],{"categories":7496},[],{"categories":7498},[84],{"categories":7500},[89],{"categories":7502},[],{"categories":7504},[47],{"categories":7506},[47],{"categories":7508},[],{"categories":7510},[108],{"categories":7512},[],{"categories":7514},[],{"categories":7516},[],{"categories":7518},[],{"categories":7520},[47],{"categories":7522},[133],{"categories":7524},[],{"categories":7526},[],{"categories":7528},[47],{"categories":7530},[47],{"categories":7532},[47],{"categories":7534},[111],{"categories":7536},[47],{"categories":7538},[111],{"categories":7540},[],{"categories":7542},[111],{"categories":7544},[111],{"categories":7546},[264],{"categories":7548},[94],{"categories":7550},[108],{"categories":7552},[],{"categories":7554},[],{"categories":7556},[111],{"categories":7558},[108],{"categories":7560},[108],{"categories":7562},[108],{"categories":7564},[],{"categories":7566},[84],{"categories":7568},[108],{"categories":7570},[108],{"categories":7572},[84],{"categories":7574},[108],{"categories":7576},[89],{"categories":7578},[108],{"categories":7580},[108],{"categories":7582},[108],{"categories":7584},[111],{"categories":7586},[133],{"categories":7588},[133],{"categories":7590},[47],{"categories":7592},[108],{"categories":7594},[111],{"categories":7596},[264],{"categories":7598},[111],{"categories":7600},[111],{"categories":7602},[111],{"categories":7604},[],{"categories":7606},[89],{"categories":7608},[],{"categories":7610},[264],{"categories":7612},[108],{"categories":7614},[108],{"categories":7616},[108],{"categories":7618},[94],{"categories":7620},[133,89],{"categories":7622},[111],{"categories":7624},[],{"categories":7626},[],{"categories":7628},[111],{"categories":7630},[],{"categories":7632},[111],{"categories":7634},[133],{"categories":7636},[94],{"categories":7638},[],{"categories":7640},[108],{"categories":7642},[47],{"categories":7644},[188],{"categories":7646},[],{"categories":7648},[47],{"categories":7650},[],{"categories":7652},[133],{"categories":7654},[84],{"categories":7656},[111],{"categories":7658},[],{"categories":7660},[108],{"categories":7662},[133],[7664,7711,7761,7841],{"id":7665,"title":7666,"ai":7667,"body":7672,"categories":7692,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":7693,"navigation":63,"path":7702,"published_at":65,"question":48,"scraped_at":65,"seo":7703,"sitemap":7704,"source_id":7705,"source_name":69,"source_type":70,"source_url":7697,"stem":7706,"tags":7707,"thumbnail_url":48,"tldr":7708,"tweet":48,"unknown_tags":7709,"__hash__":7710},"summaries\u002Fsummaries\u002F4ecf381bc5488209-tinycenn-lm-efficient-model-compression-via-cellul-summary.md","TinyCeNN-LM: Efficient Model Compression via Cellular-Recurrent Layers",{"provider":7,"model":8,"input_tokens":7668,"output_tokens":7669,"processing_time_ms":7670,"cost_usd":7671},4038,495,2846,0.001752,{"type":14,"value":7673,"toc":7688},[7674,7678,7681,7685],[17,7675,7677],{"id":7676},"replacing-attention-with-cellular-recurrent-architectures","Replacing Attention with Cellular-Recurrent Architectures",[22,7679,7680],{},"TinyCeNN-LM addresses the high computational cost of standard Transformer attention mechanisms by proposing a conversion framework that maps pretrained attention weights into Cellular Neural Network (CeNN)-inspired layers. Unlike traditional attention, which scales quadratically with sequence length, these cellular-recurrent layers operate with linear complexity. The core innovation lies in the structural mapping of attention heads into local, recurrent interactions that mimic the spatial-temporal dynamics of CeNNs, allowing the model to process long sequences more efficiently without the memory bottlenecks inherent in standard self-attention.",[17,7682,7684],{"id":7683},"the-quality-gated-conversion-process","The Quality-Gated Conversion Process",[22,7686,7687],{},"To ensure that the model retains its original capabilities after the architectural shift, the authors implement a \"quality-gated\" conversion strategy. This process involves a selective distillation phase where the recurrent layers are trained to approximate the output distribution of the original attention heads. The \"gate\" acts as a performance threshold: only those attention heads that can be mapped to the cellular-recurrent structure with minimal loss in perplexity or task accuracy are converted. This hybrid approach allows the model to retain standard attention in layers where complex, long-range dependencies are critical, while offloading simpler, repetitive patterns to the more efficient cellular-recurrent layers. This selective replacement minimizes the performance degradation typically associated with aggressive model pruning or architectural distillation.",{"title":40,"searchDepth":41,"depth":41,"links":7689},[7690,7691],{"id":7676,"depth":41,"text":7677},{"id":7683,"depth":41,"text":7684},[47],{"content_references":7694,"triage":7699},[7695],{"type":54,"title":7696,"url":7697,"context":7698},"TinyCeNN-LM: Quality-Gated Conversion of Pretrained Attention with CeNN-Inspired Cellular-Recurrent Layers","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.21139","cited",{"relevance":60,"novelty":59,"quality":59,"actionability":41,"composite":7700,"reasoning":7701},3.25,"Category: AI & LLMs. The article discusses a novel approach to model compression in LLMs, addressing a specific technical challenge related to computational efficiency. However, it lacks practical application details that the target audience could implement directly.","\u002Fsummaries\u002F4ecf381bc5488209-tinycenn-lm-efficient-model-compression-via-cellul-summary",{"title":7666,"description":40},{"loc":7702},"4ecf381bc5488209","summaries\u002F4ecf381bc5488209-tinycenn-lm-efficient-model-compression-via-cellul-summary",[73,74,75],"TinyCeNN-LM introduces a method to replace standard attention mechanisms in pretrained LLMs with Cellular Neural Network (CeNN)-inspired recurrent layers, significantly reducing computational overhead while maintaining performance through quality-gated conversion.",[],"YRiFkshHsGdOgDkQcDg8b3cY8oiyinwVutCqMuEHYoQ",{"id":7712,"title":7713,"ai":7714,"body":7718,"categories":7744,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":7745,"navigation":63,"path":7752,"published_at":65,"question":48,"scraped_at":65,"seo":7753,"sitemap":7754,"source_id":7755,"source_name":69,"source_type":70,"source_url":7749,"stem":7756,"tags":7757,"thumbnail_url":48,"tldr":7758,"tweet":48,"unknown_tags":7759,"__hash__":7760},"summaries\u002Fsummaries\u002Fc6528e4354bcd162-decoupling-internal-representations-from-causal-im-summary.md","Decoupling Internal Representations from Causal Importance in LLMs",{"provider":7,"model":8,"input_tokens":7715,"output_tokens":7669,"processing_time_ms":7716,"cost_usd":7717},4026,3253,0.001749,{"type":14,"value":7719,"toc":7740},[7720,7724,7727,7730,7734,7737],[17,7721,7723],{"id":7722},"the-divergence-of-representation-and-causality","The Divergence of Representation and Causality",[22,7725,7726],{},"Fine-tuning Large Language Models (LLMs) typically results in widespread changes across the model's internal weight matrices and activation patterns. However, this research demonstrates a critical distinction: the magnitude of representational change (how much the internal state shifts) is often decoupled from the causal importance (how much those changes actually influence the model's output).",[22,7728,7729],{},"Most fine-tuning processes induce global shifts in representation, yet the functional behavior of the model is frequently governed by a sparse subset of neurons or attention heads. This implies that while the entire model 'looks' different after training, the actual causal mechanisms driving performance improvements are highly localized.",[17,7731,7733],{"id":7732},"implications-for-interpretability-and-model-editing","Implications for Interpretability and Model Editing",[22,7735,7736],{},"This decoupling suggests that current methods for model interpretability—which often rely on tracking representational shifts—may be misleading. If a researcher observes a massive change in a specific layer, they might incorrectly attribute the model's new capabilities to that layer, even if that layer has little causal impact on the final prediction.",[22,7738,7739],{},"Instead, the authors advocate for causal intervention techniques (such as activation patching or causal mediation analysis) to identify the specific components responsible for behavioral changes. By focusing on causal importance rather than representational variance, developers can more effectively perform model editing, pruning, or targeted fine-tuning without inadvertently degrading unrelated capabilities. This approach provides a clearer path toward understanding how fine-tuning actually alters model logic versus merely shifting internal data distributions.",{"title":40,"searchDepth":41,"depth":41,"links":7741},[7742,7743],{"id":7722,"depth":41,"text":7723},{"id":7732,"depth":41,"text":7733},[47],{"content_references":7746,"triage":7750},[7747],{"type":54,"title":7748,"url":7749,"context":7698},"Decoupling Internal Representational Changes and Causal Importance in Fine-Tuned Large Language Models","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.21113",{"relevance":59,"novelty":59,"quality":59,"actionability":60,"composite":61,"reasoning":7751},"Category: AI & LLMs. The article discusses the implications of fine-tuning on LLMs, addressing a specific audience pain point regarding model interpretability and causal importance. It presents new insights into how representational changes do not always correlate with causal effects, which is valuable for developers looking to improve model performance.","\u002Fsummaries\u002Fc6528e4354bcd162-decoupling-internal-representations-from-causal-im-summary",{"title":7713,"description":40},{"loc":7752},"c6528e4354bcd162","summaries\u002Fc6528e4354bcd162-decoupling-internal-representations-from-causal-im-summary",[73,74,75],"Fine-tuning often causes significant shifts in internal model representations that do not necessarily correlate with causal importance, suggesting that model behavior changes are localized in specific, sparse components rather than global weight updates.",[],"ypGCT8fMQXwPvCQS8uEc2qJea0uEXeqRN0HkxbQEXAA",{"id":7762,"title":7763,"ai":7764,"body":7769,"categories":7820,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":7821,"navigation":63,"path":7830,"published_at":7831,"question":48,"scraped_at":7831,"seo":7832,"sitemap":7833,"source_id":7834,"source_name":69,"source_type":70,"source_url":7835,"stem":7836,"tags":7837,"thumbnail_url":48,"tldr":7838,"tweet":48,"unknown_tags":7839,"__hash__":7840},"summaries\u002Fsummaries\u002F624ac43545769d49-mapping-the-design-of-llm-benchmarks-summary.md","Mapping the Design of LLM Benchmarks",{"provider":7,"model":8,"input_tokens":7765,"output_tokens":7766,"processing_time_ms":7767,"cost_usd":7768},4049,513,3008,0.00178175,{"type":14,"value":7770,"toc":7815},[7771,7775,7778,7782,7785,7808,7812],[17,7772,7774],{"id":7773},"the-crisis-of-benchmark-transparency","The Crisis of Benchmark Transparency",[22,7776,7777],{},"As LLMs proliferate, the benchmarks used to evaluate them have become increasingly complex and opaque. The authors argue that the current landscape of evaluation is fragmented, with many benchmarks failing to clearly articulate their design philosophies, target capabilities, or potential biases. This lack of rigor makes it difficult for practitioners to distinguish between genuine model improvements and performance gains driven by data contamination or overfitting to specific test sets.",[17,7779,7781],{"id":7780},"a-taxonomy-for-benchmark-design","A Taxonomy for Benchmark Design",[22,7783,7784],{},"To address this, the paper introduces a structured taxonomy for mapping how LLM benchmarks are constructed. By analyzing existing evaluation frameworks, the authors categorize benchmarks based on several key dimensions:",[7786,7787,7788,7796,7802],"ul",{},[7789,7790,7791,7795],"li",{},[7792,7793,7794],"strong",{},"Capability Focus:"," Distinguishing between benchmarks that test reasoning, factual knowledge, coding proficiency, or creative generation.",[7789,7797,7798,7801],{},[7792,7799,7800],{},"Data Source & Collection:"," Identifying whether benchmarks rely on static datasets, human-annotated examples, or synthetic data generation, and how these choices impact the reliability of the results.",[7789,7803,7804,7807],{},[7792,7805,7806],{},"Evaluation Methodology:"," Categorizing the scoring mechanisms, such as exact-match metrics, model-based evaluation (LLM-as-a-judge), or human-in-the-loop assessment.",[17,7809,7811],{"id":7810},"bridging-the-gap-between-design-and-utility","Bridging the Gap Between Design and Utility",[22,7813,7814],{},"Ultimately, the research emphasizes that a benchmark is not a neutral tool but a reflection of what the designers value. By mapping these design choices, the authors provide a framework for developers to critically evaluate whether a specific benchmark aligns with their product's use case. The core takeaway is that practitioners should move away from relying on single aggregate scores and instead look at the underlying design of the benchmark to ensure it tests the specific behaviors required for their AI applications.",{"title":40,"searchDepth":41,"depth":41,"links":7816},[7817,7818,7819],{"id":7773,"depth":41,"text":7774},{"id":7780,"depth":41,"text":7781},{"id":7810,"depth":41,"text":7811},[47],{"content_references":7822,"triage":7828},[7823],{"type":7824,"title":7825,"url":7826,"context":7827},"other","LLM-Bench-Map","https:\u002F\u002Fgithub.com\u002Fxxcg322\u002FLLM-Bench-Map","mentioned",{"relevance":59,"novelty":59,"quality":59,"actionability":60,"composite":61,"reasoning":7829},"Category: AI & LLMs. The article provides a structured taxonomy for evaluating LLM benchmarks, addressing a specific pain point for developers regarding benchmark transparency and alignment with product use cases. It offers insights into how to critically evaluate benchmarks, which is actionable but lacks detailed frameworks for immediate implementation.","\u002Fsummaries\u002F624ac43545769d49-mapping-the-design-of-llm-benchmarks-summary","2026-09-19 03:10:35",{"title":7763,"description":40},{"loc":7830},"624ac43545769d49","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.19182","summaries\u002F624ac43545769d49-mapping-the-design-of-llm-benchmarks-summary",[73,75,74],"Current LLM benchmarks often lack transparency in design, leading to misaligned evaluations. This research provides a taxonomy to categorize benchmark construction, helping developers better understand what models are actually being tested for.",[],"exxDsHVVklz8O9VkXGPZHrePgDkW3PSeaEDJISB3vAA",{"id":7842,"title":7843,"ai":7844,"body":7849,"categories":7877,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":7878,"navigation":63,"path":7885,"published_at":7886,"question":48,"scraped_at":7886,"seo":7887,"sitemap":7888,"source_id":7889,"source_name":69,"source_type":70,"source_url":7882,"stem":7890,"tags":7891,"thumbnail_url":48,"tldr":7892,"tweet":48,"unknown_tags":7893,"__hash__":7894},"summaries\u002Fsummaries\u002F836067a501b46059-obc-prune-outcome-based-calibration-for-reasoning--summary.md","OBC-Prune: Outcome-Based Calibration for Reasoning Model Pruning",{"provider":7,"model":8,"input_tokens":7845,"output_tokens":7846,"processing_time_ms":7847,"cost_usd":7848},4019,572,3136,0.00186275,{"type":14,"value":7850,"toc":7872},[7851,7855,7858,7862,7865,7869],[17,7852,7854],{"id":7853},"the-problem-with-traditional-pruning-in-reasoning-models","The Problem with Traditional Pruning in Reasoning Models",[22,7856,7857],{},"Standard model pruning techniques typically rely on minimizing the divergence between the original model's output distribution and the pruned model's distribution (e.g., KL-divergence). While effective for general-purpose language models, this approach often fails for reasoning-heavy models. Reasoning models rely on complex, multi-step chains of thought where the intermediate tokens are highly sensitive; traditional pruning often disrupts these chains, leading to a degradation in final answer accuracy even if the token-level perplexity remains relatively stable.",[17,7859,7861],{"id":7860},"outcome-based-calibration-obc","Outcome-Based Calibration (OBC)",[22,7863,7864],{},"OBC-Prune shifts the focus from token-level probability matching to outcome-based calibration. Instead of forcing the pruned model to mimic the exact probability distribution of the original model at every step, the method calibrates the pruning process based on the model's ability to reach the correct final answer. By evaluating the model's performance on reasoning-intensive datasets, the algorithm identifies and preserves the specific weights and attention heads that are most critical to the model's final reasoning success. This ensures that the pruned model maintains its problem-solving capability, even if the internal path taken to reach the solution deviates slightly from the original model's path.",[17,7866,7868],{"id":7867},"performance-and-trade-offs","Performance and Trade-offs",[22,7870,7871],{},"The research demonstrates that OBC-Prune allows for significant model compression—reducing parameter counts while maintaining higher accuracy on reasoning benchmarks compared to standard magnitude-based or distribution-matching pruning methods. The primary trade-off is the increased computational cost during the calibration phase, as it requires evaluating the model's reasoning outcomes rather than just its next-token predictions. However, for developers looking to deploy large reasoning models on resource-constrained hardware, this method provides a more robust path to maintaining high-level performance without the full memory footprint of the original model.",{"title":40,"searchDepth":41,"depth":41,"links":7873},[7874,7875,7876],{"id":7853,"depth":41,"text":7854},{"id":7860,"depth":41,"text":7861},{"id":7867,"depth":41,"text":7868},[47],{"content_references":7879,"triage":7883},[7880],{"type":54,"title":7881,"url":7882,"context":7698},"OBC-Prune: Outcome-Based Calibration for Large Reasoning Model Pruning","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.17890",{"relevance":60,"novelty":59,"quality":59,"actionability":41,"composite":7700,"reasoning":7884},"Category: AI & LLMs. The article discusses a novel pruning method for reasoning models, which is relevant to AI engineering, particularly in optimizing AI models for production. However, it lacks practical steps or frameworks that the audience can directly implement.","\u002Fsummaries\u002F836067a501b46059-obc-prune-outcome-based-calibration-for-reasoning-summary","2026-09-18 03:12:04",{"title":7843,"description":40},{"loc":7885},"836067a501b46059","summaries\u002F836067a501b46059-obc-prune-outcome-based-calibration-for-reasoning--summary",[73,74,75],"OBC-Prune introduces a calibration method for pruning large reasoning models that prioritizes final output accuracy over intermediate token probability, preserving complex reasoning capabilities during compression.",[],"IPFmPpOHeTkEXp7pX3gj86ljvCdnsDgeYcFnbhNKluA"]