[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-6872a1d6fae73a5d-clear-cross-source-evidence-adjudication-for-medic-summary":3,"summaries-facets-categories":108,"summary-related-6872a1d6fae73a5d-clear-cross-source-evidence-adjudication-for-medic-summary":7546},{"id":4,"title":5,"ai":6,"body":13,"categories":75,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":80,"navigation":92,"path":93,"published_at":94,"question":77,"scraped_at":94,"seo":95,"sitemap":96,"source_id":97,"source_name":98,"source_type":99,"source_url":85,"stem":100,"tags":101,"thumbnail_url":77,"tldr":105,"tweet":77,"unknown_tags":106,"__hash__":107},"summaries\u002Fsummaries\u002F6872a1d6fae73a5d-clear-cross-source-evidence-adjudication-for-medic-summary.md","CLEAR: Cross-Source Evidence Adjudication for Medical LLMs",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4013,540,2865,0.00181325,{"type":14,"value":15,"toc":68},"minimark",[16,21,25,29,32,61,65],[17,18,20],"h2",{"id":19},"the-challenge-of-conflicting-medical-evidence","The Challenge of Conflicting Medical Evidence",[22,23,24],"p",{},"Medical LLMs often struggle when retrieving information from multiple, potentially contradictory sources. Standard RAG (Retrieval-Augmented Generation) pipelines frequently fail to reconcile these discrepancies, leading to hallucinations or the propagation of outdated clinical guidelines. The CLEAR (Cross-Source Evidence Adjudication) framework addresses this by introducing a structured mechanism to evaluate, compare, and synthesize evidence before generating a final clinical response.",[17,26,28],{"id":27},"the-clear-adjudication-mechanism","The CLEAR Adjudication Mechanism",[22,30,31],{},"Instead of relying on a single pass of generation, CLEAR implements a multi-stage adjudication process:",[33,34,35,43,49,55],"ol",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Evidence Extraction & Normalization",": The system retrieves relevant snippets from diverse medical databases and literature. It normalizes these sources to ensure consistent terminology and context.",[36,44,45,48],{},[39,46,47],{},"Conflict Detection",": The model identifies specific points of contention—such as differing dosage recommendations or diagnostic criteria—across the retrieved documents.",[36,50,51,54],{},[39,52,53],{},"Adjudication Logic",": Rather than simply averaging results, the framework uses a weighted evaluation based on source credibility (e.g., peer-reviewed clinical trials vs. general medical forums) and temporal relevance (e.g., prioritizing the most recent guidelines).",[36,56,57,60],{},[39,58,59],{},"Synthesis",": The model generates a final, evidence-backed conclusion that explicitly acknowledges the reconciliation process, providing clinicians with transparency regarding why certain evidence was prioritized over others.",[17,62,64],{"id":63},"impact-on-clinical-reliability","Impact on Clinical Reliability",[22,66,67],{},"By formalizing the adjudication step, CLEAR significantly reduces the rate of 'conflicting hallucinations' where an LLM might present two mutually exclusive medical facts as equally valid. This approach moves beyond simple prompt engineering, offering a robust architectural pattern for building AI systems that must operate within high-stakes environments where accuracy and source provenance are non-negotiable.",{"title":69,"searchDepth":70,"depth":70,"links":71},"",2,[72,73,74],{"id":19,"depth":70,"text":20},{"id":27,"depth":70,"text":28},{"id":63,"depth":70,"text":64},[76],"AI & LLMs",null,"md",false,{"content_references":81,"triage":87},[82],{"type":83,"title":84,"url":85,"context":86},"paper","CLEAR: Cross-Source Evidence Adjudication for Large Language Models in Medicine","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.16301","reviewed",{"relevance":88,"novelty":88,"quality":88,"actionability":89,"composite":90,"reasoning":91},4,3,3.8,"Category: AI & LLMs. The article discusses the CLEAR framework, which addresses a specific pain point in medical LLMs by improving reliability through a structured adjudication process. This is relevant to AI product builders focused on enhancing model accuracy and reducing hallucinations, although it may not provide direct actionable steps for implementation.",true,"\u002Fsummaries\u002F6872a1d6fae73a5d-clear-cross-source-evidence-adjudication-for-medic-summary","2026-09-17 03:12:17",{"title":5,"description":69},{"loc":93},"6872a1d6fae73a5d","arXiv cs.AI","article","summaries\u002F6872a1d6fae73a5d-clear-cross-source-evidence-adjudication-for-medic-summary",[102,103,104],"llm","research","machine-learning","The CLEAR framework improves medical LLM reliability by systematically adjudicating conflicting evidence across multiple sources, reducing hallucinations and improving clinical accuracy.",[],"cCsXxJkfMwGFU2qHNaUMjVGnP6f31kX3m0y3QTLx0zo",[109,111,114,116,119,121,124,127,129,131,133,135,138,141,143,145,147,149,152,154,156,158,160,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,193,195,197,199,201,203,205,207,209,211,213,215,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,251,253,255,257,259,261,263,265,267,269,271,273,275,277,279,281,283,285,287,289,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,395,398,400,402,404,406,408,410,412,414,416,418,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,454,456,458,460,462,464,466,468,470,472,474,476,478,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,550,552,554,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,596,598,600,602,604,606,608,610,612,614,616,618,620,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,922,924,926,928,930,933,935,937,939,941,943,945,947,949,951,953,955,957,959,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932,6934,6936,6938,6940,6942,6944,6946,6948,6950,6952,6954,6956,6958,6960,6962,6964,6966,6968,6970,6972,6974,6976,6978,6980,6982,6984,6986,6988,6990,6992,6994,6996,6998,7000,7002,7004,7006,7008,7010,7012,7014,7016,7018,7020,7022,7024,7026,7028,7030,7032,7034,7036,7038,7040,7042,7044,7046,7048,7050,7052,7054,7056,7058,7060,7062,7064,7066,7068,7070,7072,7074,7076,7078,7080,7082,7084,7086,7088,7090,7092,7094,7096,7098,7100,7102,7104,7106,7108,7110,7112,7114,7116,7118,7120,7122,7124,7126,7128,7130,7132,7134,7136,7138,7140,7142,7144,7146,7148,7150,7152,7154,7156,7158,7160,7162,7164,7166,7168,7170,7172,7174,7176,7178,7180,7182,7184,7186,7188,7190,7192,7194,7196,7198,7200,7202,7204,7206,7208,7210,7212,7214,7216,7218,7220,7222,7224,7226,7228,7230,7232,7234,7236,7238,7240,7242,7244,7246,7248,7250,7252,7254,7256,7258,7260,7262,7264,7266,7268,7270,7272,7274,7276,7278,7280,7282,7284,7286,7288,7290,7292,7294,7296,7298,7300,7302,7304,7306,7308,7310,7312,7314,7316,7318,7320,7322,7324,7326,7328,7330,7332,7334,7336,7338,7340,7342,7344,7346,7348,7350,7352,7354,7356,7358,7360,7362,7364,7366,7368,7370,7372,7374,7376,7378,7380,7382,7384,7386,7388,7390,7392,7394,7396,7398,7400,7402,7404,7406,7408,7410,7412,7414,7416,7418,7420,7422,7424,7426,7428,7430,7432,7434,7436,7438,7440,7442,7444,7446,7448,7450,7452,7454,7456,7458,7460,7462,7464,7466,7468,7470,7472,7474,7476,7478,7480,7482,7484,7486,7488,7490,7492,7494,7496,7498,7500,7502,7504,7506,7508,7510,7512,7514,7516,7518,7520,7522,7524,7526,7528,7530,7532,7534,7536,7538,7540,7542,7544],{"categories":110},[76],{"categories":112},[113],"Developer Productivity",{"categories":115},[76],{"categories":117},[118],"Business & SaaS",{"categories":120},[76],{"categories":122},[123],"AI Automation",{"categories":125},[126],"Product Strategy",{"categories":128},[123],{"categories":130},[76],{"categories":132},[113],{"categories":134},[123],{"categories":136},[137],"Software Engineering",{"categories":139},[140],"Data Science & Visualization",{"categories":142},[76],{"categories":144},[118],{"categories":146},[],{"categories":148},[76],{"categories":150},[151],"Inference & Serving",{"categories":153},[76],{"categories":155},[76],{"categories":157},[123],{"categories":159},[],{"categories":161},[162],"AI News & Trends",{"categories":164},[140],{"categories":166},[123],{"categories":168},[76],{"categories":170},[76],{"categories":172},[76],{"categories":174},[118],{"categories":176},[113],{"categories":178},[76],{"categories":180},[123],{"categories":182},[162],{"categories":184},[76],{"categories":186},[123],{"categories":188},[123],{"categories":190},[76],{"categories":192},[76],{"categories":194},[123],{"categories":196},[76],{"categories":198},[76],{"categories":200},[76],{"categories":202},[118],{"categories":204},[123],{"categories":206},[162],{"categories":208},[76],{"categories":210},[76],{"categories":212},[76],{"categories":214},[],{"categories":216},[217],"Design & Frontend",{"categories":219},[76],{"categories":221},[140],{"categories":223},[76],{"categories":225},[162],{"categories":227},[76],{"categories":229},[76],{"categories":231},[76],{"categories":233},[],{"categories":235},[76],{"categories":237},[76],{"categories":239},[123],{"categories":241},[137],{"categories":243},[76],{"categories":245},[123],{"categories":247},[76],{"categories":249},[250],"Marketing & Growth",{"categories":252},[217],{"categories":254},[76],{"categories":256},[123],{"categories":258},[76],{"categories":260},[76],{"categories":262},[137],{"categories":264},[76],{"categories":266},[],{"categories":268},[],{"categories":270},[217],{"categories":272},[76],{"categories":274},[123],{"categories":276},[113],{"categories":278},[137],{"categories":280},[123],{"categories":282},[217],{"categories":284},[126],{"categories":286},[76],{"categories":288},[137],{"categories":290},[291],"DevOps & Cloud",{"categories":293},[123],{"categories":295},[126],{"categories":297},[162],{"categories":299},[76],{"categories":301},[],{"categories":303},[76],{"categories":305},[76],{"categories":307},[76],{"categories":309},[],{"categories":311},[123],{"categories":313},[137],{"categories":315},[],{"categories":317},[137],{"categories":319},[123],{"categories":321},[76],{"categories":323},[217],{"categories":325},[326],"Governance & Standards",{"categories":328},[118],{"categories":330},[],{"categories":332},[76],{"categories":334},[],{"categories":336},[76],{"categories":338},[76],{"categories":340},[123],{"categories":342},[123],{"categories":344},[76],{"categories":346},[76],{"categories":348},[123],{"categories":350},[76],{"categories":352},[76],{"categories":354},[76],{"categories":356},[],{"categories":358},[137],{"categories":360},[],{"categories":362},[],{"categories":364},[76],{"categories":366},[137],{"categories":368},[],{"categories":370},[137],{"categories":372},[76],{"categories":374},[123],{"categories":376},[76],{"categories":378},[250],{"categories":380},[76],{"categories":382},[76],{"categories":384},[76],{"categories":386},[217],{"categories":388},[217],{"categories":390},[76],{"categories":392},[137],{"categories":394},[123],{"categories":396},[397],"GovTech & Public-Sector Adoption",{"categories":399},[137],{"categories":401},[76],{"categories":403},[76],{"categories":405},[76],{"categories":407},[123],{"categories":409},[123],{"categories":411},[140],{"categories":413},[76],{"categories":415},[162],{"categories":417},[123],{"categories":419},[420],"Legal AI Tools",{"categories":422},[76],{"categories":424},[123],{"categories":426},[76],{"categories":428},[250],{"categories":430},[123],{"categories":432},[126],{"categories":434},[76],{"categories":436},[137],{"categories":438},[397],{"categories":440},[],{"categories":442},[123],{"categories":444},[],{"categories":446},[118],{"categories":448},[123],{"categories":450},[123],{"categories":452},[453],"RAG & Retrieval",{"categories":455},[118],{"categories":457},[76],{"categories":459},[137],{"categories":461},[137],{"categories":463},[291],{"categories":465},[217],{"categories":467},[123],{"categories":469},[76],{"categories":471},[76],{"categories":473},[76],{"categories":475},[],{"categories":477},[123],{"categories":479},[480],"Agents & Orchestration",{"categories":482},[137],{"categories":484},[76],{"categories":486},[],{"categories":488},[123],{"categories":490},[118],{"categories":492},[],{"categories":494},[76],{"categories":496},[],{"categories":498},[76],{"categories":500},[113],{"categories":502},[137],{"categories":504},[118],{"categories":506},[76],{"categories":508},[76],{"categories":510},[76],{"categories":512},[123],{"categories":514},[76],{"categories":516},[76],{"categories":518},[162],{"categories":520},[76],{"categories":522},[],{"categories":524},[76],{"categories":526},[76],{"categories":528},[],{"categories":530},[76],{"categories":532},[137],{"categories":534},[76],{"categories":536},[123],{"categories":538},[140],{"categories":540},[],{"categories":542},[76],{"categories":544},[76],{"categories":546},[217],{"categories":548},[549],"Models & Frontier Labs",{"categories":551},[],{"categories":553},[217],{"categories":555},[556],"Regulation & Governance of AI",{"categories":558},[126],{"categories":560},[123],{"categories":562},[],{"categories":564},[76],{"categories":566},[76],{"categories":568},[123],{"categories":570},[123],{"categories":572},[162],{"categories":574},[76],{"categories":576},[118],{"categories":578},[76],{"categories":580},[123],{"categories":582},[],{"categories":584},[137],{"categories":586},[123],{"categories":588},[76],{"categories":590},[126],{"categories":592},[76],{"categories":594},[595],"AI Policy & Regulation",{"categories":597},[],{"categories":599},[76],{"categories":601},[123],{"categories":603},[123],{"categories":605},[126],{"categories":607},[123],{"categories":609},[76],{"categories":611},[76],{"categories":613},[76],{"categories":615},[123],{"categories":617},[],{"categories":619},[140],{"categories":621},[622],"Evals & Reliability",{"categories":624},[76],{"categories":626},[76],{"categories":628},[],{"categories":630},[140],{"categories":632},[113],{"categories":634},[397],{"categories":636},[595],{"categories":638},[76],{"categories":640},[118],{"categories":642},[76],{"categories":644},[123],{"categories":646},[76],{"categories":648},[123],{"categories":650},[480],{"categories":652},[76],{"categories":654},[137],{"categories":656},[76],{"categories":658},[76],{"categories":660},[],{"categories":662},[217],{"categories":664},[],{"categories":666},[76],{"categories":668},[397],{"categories":670},[76],{"categories":672},[76],{"categories":674},[76],{"categories":676},[],{"categories":678},[76],{"categories":680},[217],{"categories":682},[137],{"categories":684},[],{"categories":686},[76],{"categories":688},[],{"categories":690},[123],{"categories":692},[76],{"categories":694},[217],{"categories":696},[],{"categories":698},[76],{"categories":700},[76],{"categories":702},[140],{"categories":704},[123],{"categories":706},[76],{"categories":708},[118],{"categories":710},[123],{"categories":712},[76],{"categories":714},[76],{"categories":716},[137],{"categories":718},[217],{"categories":720},[76],{"categories":722},[123],{"categories":724},[],{"categories":726},[137],{"categories":728},[123],{"categories":730},[140],{"categories":732},[],{"categories":734},[76],{"categories":736},[162],{"categories":738},[76],{"categories":740},[],{"categories":742},[76],{"categories":744},[76],{"categories":746},[76],{"categories":748},[118,250],{"categories":750},[],{"categories":752},[137],{"categories":754},[76],{"categories":756},[76],{"categories":758},[123],{"categories":760},[76],{"categories":762},[76],{"categories":764},[],{"categories":766},[],{"categories":768},[76],{"categories":770},[217],{"categories":772},[76],{"categories":774},[],{"categories":776},[76],{"categories":778},[291],{"categories":780},[],{"categories":782},[123],{"categories":784},[162],{"categories":786},[76],{"categories":788},[118],{"categories":790},[76],{"categories":792},[137],{"categories":794},[217],{"categories":796},[],{"categories":798},[162],{"categories":800},[76],{"categories":802},[151],{"categories":804},[76],{"categories":806},[76],{"categories":808},[123],{"categories":810},[162],{"categories":812},[549],{"categories":814},[76],{"categories":816},[250],{"categories":818},[],{"categories":820},[123],{"categories":822},[118],{"categories":824},[137],{"categories":826},[76],{"categories":828},[123],{"categories":830},[],{"categories":832},[76,291],{"categories":834},[76],{"categories":836},[76],{"categories":838},[76],{"categories":840},[123],{"categories":842},[76,137],{"categories":844},[140],{"categories":846},[76],{"categories":848},[76],{"categories":850},[76],{"categories":852},[137],{"categories":854},[76],{"categories":856},[123],{"categories":858},[123],{"categories":860},[595],{"categories":862},[250],{"categories":864},[76],{"categories":866},[123],{"categories":868},[76],{"categories":870},[76],{"categories":872},[123],{"categories":874},[],{"categories":876},[123],{"categories":878},[76],{"categories":880},[76],{"categories":882},[123],{"categories":884},[76],{"categories":886},[76,118],{"categories":888},[76],{"categories":890},[118],{"categories":892},[],{"categories":894},[217],{"categories":896},[217],{"categories":898},[76],{"categories":900},[],{"categories":902},[],{"categories":904},[76],{"categories":906},[162],{"categories":908},[],{"categories":910},[113],{"categories":912},[76],{"categories":914},[137],{"categories":916},[123],{"categories":918},[76],{"categories":920},[921],"Generative UI & Design-to-Code",{"categories":923},[76],{"categories":925},[76],{"categories":927},[217],{"categories":929},[76],{"categories":931},[932],"Algorithmic Accountability",{"categories":934},[123],{"categories":936},[137],{"categories":938},[162],{"categories":940},[217],{"categories":942},[76],{"categories":944},[],{"categories":946},[126],{"categories":948},[76],{"categories":950},[76],{"categories":952},[76],{"categories":954},[76],{"categories":956},[76],{"categories":958},[123],{"categories":960},[961],"MLOps & Infrastructure",{"categories":963},[76],{"categories":965},[76],{"categories":967},[76],{"categories":969},[76],{"categories":971},[76],{"categories":973},[137],{"categories":975},[162],{"categories":977},[76],{"categories":979},[76],{"categories":981},[126],{"categories":983},[113],{"categories":985},[76],{"categories":987},[123],{"categories":989},[291],{"categories":991},[76],{"categories":993},[118],{"categories":995},[76],{"categories":997},[217],{"categories":999},[76],{"categories":1001},[126],{"categories":1003},[76],{"categories":1005},[123],{"categories":1007},[],{"categories":1009},[],{"categories":1011},[76],{"categories":1013},[151],{"categories":1015},[217],{"categories":1017},[162],{"categories":1019},[140],{"categories":1021},[],{"categories":1023},[76],{"categories":1025},[76],{"categories":1027},[118],{"categories":1029},[123],{"categories":1031},[76],{"categories":1033},[76],{"categories":1035},[76],{"categories":1037},[76],{"categories":1039},[76],{"categories":1041},[162],{"categories":1043},[151],{"categories":1045},[76],{"categories":1047},[217],{"categories":1049},[76],{"categories":1051},[],{"categories":1053},[123],{"categories":1055},[137],{"categories":1057},[],{"categories":1059},[76],{"categories":1061},[76],{"categories":1063},[123],{"categories":1065},[137],{"categories":1067},[76],{"categories":1069},[140],{"categories":1071},[217],{"categories":1073},[],{"categories":1075},[76],{"categories":1077},[],{"categories":1079},[76],{"categories":1081},[],{"categories":1083},[76],{"categories":1085},[76],{"categories":1087},[126],{"categories":1089},[118],{"categories":1091},[123],{"categories":1093},[123],{"categories":1095},[],{"categories":1097},[76],{"categories":1099},[113],{"categories":1101},[76],{"categories":1103},[76],{"categories":1105},[118],{"categories":1107},[162],{"categories":1109},[113],{"categories":1111},[],{"categories":1113},[76],{"categories":1115},[],{"categories":1117},[76],{"categories":1119},[],{"categories":1121},[76],{"categories":1123},[162],{"categories":1125},[162],{"categories":1127},[],{"categories":1129},[480],{"categories":1131},[76],{"categories":1133},[217],{"categories":1135},[137],{"categories":1137},[],{"categories":1139},[420],{"categories":1141},[123],{"categories":1143},[118],{"categories":1145},[],{"categories":1147},[],{"categories":1149},[113],{"categories":1151},[140],{"categories":1153},[],{"categories":1155},[250],{"categories":1157},[123],{"categories":1159},[118],{"categories":1161},[123],{"categories":1163},[76],{"categories":1165},[118],{"categories":1167},[76],{"categories":1169},[137],{"categories":1171},[],{"categories":1173},[151],{"categories":1175},[126],{"categories":1177},[76],{"categories":1179},[217],{"categories":1181},[137],{"categories":1183},[118],{"categories":1185},[76],{"categories":1187},[137],{"categories":1189},[76],{"categories":1191},[123],{"categories":1193},[118],{"categories":1195},[76],{"categories":1197},[76],{"categories":1199},[76],{"categories":1201},[76],{"categories":1203},[76],{"categories":1205},[76],{"categories":1207},[],{"categories":1209},[],{"categories":1211},[137],{"categories":1213},[140],{"categories":1215},[126],{"categories":1217},[76],{"categories":1219},[123],{"categories":1221},[137],{"categories":1223},[137],{"categories":1225},[76],{"categories":1227},[],{"categories":1229},[76],{"categories":1231},[162],{"categories":1233},[126],{"categories":1235},[126],{"categories":1237},[137],{"categories":1239},[76],{"categories":1241},[622],{"categories":1243},[291],{"categories":1245},[],{"categories":1247},[123],{"categories":1249},[76],{"categories":1251},[113],{"categories":1253},[],{"categories":1255},[113],{"categories":1257},[],{"categories":1259},[76],{"categories":1261},[76],{"categories":1263},[76],{"categories":1265},[217],{"categories":1267},[250],{"categories":1269},[126],{"categories":1271},[76],{"categories":1273},[137],{"categories":1275},[76],{"categories":1277},[123],{"categories":1279},[],{"categories":1281},[137],{"categories":1283},[76],{"categories":1285},[113],{"categories":1287},[],{"categories":1289},[118],{"categories":1291},[76],{"categories":1293},[76],{"categories":1295},[162],{"categories":1297},[76,291],{"categories":1299},[76],{"categories":1301},[1302],"Design Systems for AI",{"categories":1304},[76],{"categories":1306},[76],{"categories":1308},[162],{"categories":1310},[76],{"categories":1312},[76],{"categories":1314},[76],{"categories":1316},[118],{"categories":1318},[76],{"categories":1320},[76],{"categories":1322},[76],{"categories":1324},[],{"categories":1326},[76],{"categories":1328},[76],{"categories":1330},[118],{"categories":1332},[76],{"categories":1334},[],{"categories":1336},[123],{"categories":1338},[123],{"categories":1340},[137],{"categories":1342},[76],{"categories":1344},[162],{"categories":1346},[137],{"categories":1348},[76],{"categories":1350},[217],{"categories":1352},[162],{"categories":1354},[140],{"categories":1356},[76],{"categories":1358},[76],{"categories":1360},[76],{"categories":1362},[76],{"categories":1364},[123],{"categories":1366},[113],{"categories":1368},[595],{"categories":1370},[76],{"categories":1372},[76],{"categories":1374},[123],{"categories":1376},[76],{"categories":1378},[137],{"categories":1380},[76],{"categories":1382},[137],{"categories":1384},[],{"categories":1386},[217],{"categories":1388},[],{"categories":1390},[76],{"categories":1392},[123],{"categories":1394},[126],{"categories":1396},[],{"categories":1398},[118],{"categories":1400},[76],{"categories":1402},[],{"categories":1404},[217],{"categories":1406},[137],{"categories":1408},[123],{"categories":1410},[137],{"categories":1412},[76],{"categories":1414},[217],{"categories":1416},[76],{"categories":1418},[137],{"categories":1420},[76],{"categories":1422},[76],{"categories":1424},[217],{"categories":1426},[],{"categories":1428},[],{"categories":1430},[162],{"categories":1432},[123],{"categories":1434},[123],{"categories":1436},[123],{"categories":1438},[76],{"categories":1440},[76],{"categories":1442},[76],{"categories":1444},[76],{"categories":1446},[76],{"categories":1448},[76],{"categories":1450},[118],{"categories":1452},[76],{"categories":1454},[76],{"categories":1456},[],{"categories":1458},[137],{"categories":1460},[137],{"categories":1462},[76],{"categories":1464},[137],{"categories":1466},[118],{"categories":1468},[],{"categories":1470},[76],{"categories":1472},[76],{"categories":1474},[217],{"categories":1476},[76],{"categories":1478},[76],{"categories":1480},[76],{"categories":1482},[123],{"categories":1484},[113],{"categories":1486},[118],{"categories":1488},[76],{"categories":1490},[123],{"categories":1492},[162],{"categories":1494},[123],{"categories":1496},[151],{"categories":1498},[250],{"categories":1500},[76],{"categories":1502},[123],{"categories":1504},[76],{"categories":1506},[76],{"categories":1508},[76],{"categories":1510},[],{"categories":1512},[217],{"categories":1514},[],{"categories":1516},[76],{"categories":1518},[76],{"categories":1520},[],{"categories":1522},[76],{"categories":1524},[137],{"categories":1526},[118],{"categories":1528},[1529],"Visual & Generative Media",{"categories":1531},[123],{"categories":1533},[],{"categories":1535},[76],{"categories":1537},[76],{"categories":1539},[137],{"categories":1541},[76],{"categories":1543},[291],{"categories":1545},[76],{"categories":1547},[140],{"categories":1549},[595],{"categories":1551},[137],{"categories":1553},[250],{"categories":1555},[76],{"categories":1557},[126],{"categories":1559},[217],{"categories":1561},[76],{"categories":1563},[76],{"categories":1565},[137],{"categories":1567},[123],{"categories":1569},[76],{"categories":1571},[],{"categories":1573},[],{"categories":1575},[123],{"categories":1577},[137],{"categories":1579},[113],{"categories":1581},[123],{"categories":1583},[549],{"categories":1585},[76],{"categories":1587},[126],{"categories":1589},[76],{"categories":1591},[118],{"categories":1593},[],{"categories":1595},[76],{"categories":1597},[126],{"categories":1599},[76],{"categories":1601},[76],{"categories":1603},[76],{"categories":1605},[126],{"categories":1607},[76],{"categories":1609},[76],{"categories":1611},[250],{"categories":1613},[76],{"categories":1615},[480],{"categories":1617},[123],{"categories":1619},[76],{"categories":1621},[123],{"categories":1623},[76],{"categories":1625},[76],{"categories":1627},[123],{"categories":1629},[76],{"categories":1631},[76],{"categories":1633},[76],{"categories":1635},[123],{"categories":1637},[76],{"categories":1639},[217],{"categories":1641},[123],{"categories":1643},[],{"categories":1645},[123],{"categories":1647},[76],{"categories":1649},[],{"categories":1651},[291],{"categories":1653},[137],{"categories":1655},[],{"categories":1657},[549],{"categories":1659},[76],{"categories":1661},[123],{"categories":1663},[123],{"categories":1665},[76],{"categories":1667},[217,76],{"categories":1669},[76],{"categories":1671},[113],{"categories":1673},[76],{"categories":1675},[123],{"categories":1677},[217],{"categories":1679},[],{"categories":1681},[76],{"categories":1683},[113],{"categories":1685},[76],{"categories":1687},[1688],"Medical Imaging & Radiology",{"categories":1690},[76],{"categories":1692},[76],{"categories":1694},[76],{"categories":1696},[217],{"categories":1698},[123],{"categories":1700},[137],{"categories":1702},[],{"categories":1704},[76],{"categories":1706},[76],{"categories":1708},[76],{"categories":1710},[],{"categories":1712},[],{"categories":1714},[76],{"categories":1716},[76],{"categories":1718},[480],{"categories":1720},[76],{"categories":1722},[113],{"categories":1724},[76],{"categories":1726},[76],{"categories":1728},[],{"categories":1730},[123],{"categories":1732},[76],{"categories":1734},[126],{"categories":1736},[137],{"categories":1738},[76],{"categories":1740},[123],{"categories":1742},[480],{"categories":1744},[76],{"categories":1746},[123],{"categories":1748},[76],{"categories":1750},[76],{"categories":1752},[76],{"categories":1754},[76],{"categories":1756},[217],{"categories":1758},[123],{"categories":1760},[291],{"categories":1762},[217],{"categories":1764},[118],{"categories":1766},[123],{"categories":1768},[162],{"categories":1770},[76],{"categories":1772},[76],{"categories":1774},[126],{"categories":1776},[76],{"categories":1778},[76],{"categories":1780},[76],{"categories":1782},[76],{"categories":1784},[76],{"categories":1786},[123],{"categories":1788},[76],{"categories":1790},[137],{"categories":1792},[137],{"categories":1794},[76],{"categories":1796},[126],{"categories":1798},[],{"categories":1800},[162],{"categories":1802},[],{"categories":1804},[126],{"categories":1806},[123],{"categories":1808},[76],{"categories":1810},[76],{"categories":1812},[123],{"categories":1814},[76],{"categories":1816},[1302],{"categories":1818},[76],{"categories":1820},[1302],{"categories":1822},[217],{"categories":1824},[76],{"categories":1826},[76],{"categories":1828},[76],{"categories":1830},[123],{"categories":1832},[137],{"categories":1834},[217],{"categories":1836},[123],{"categories":1838},[162],{"categories":1840},[],{"categories":1842},[76],{"categories":1844},[],{"categories":1846},[76],{"categories":1848},[76],{"categories":1850},[76],{"categories":1852},[76],{"categories":1854},[76],{"categories":1856},[123],{"categories":1858},[1859],"Contract Review & E-Discovery",{"categories":1861},[76],{"categories":1863},[217],{"categories":1865},[76],{"categories":1867},[113],{"categories":1869},[76],{"categories":1871},[162],{"categories":1873},[76],{"categories":1875},[76],{"categories":1877},[250],{"categories":1879},[137],{"categories":1881},[123],{"categories":1883},[76],{"categories":1885},[76],{"categories":1887},[76],{"categories":1889},[123],{"categories":1891},[123],{"categories":1893},[932],{"categories":1895},[76],{"categories":1897},[76],{"categories":1899},[123],{"categories":1901},[123],{"categories":1903},[76],{"categories":1905},[76],{"categories":1907},[76],{"categories":1909},[123],{"categories":1911},[76],{"categories":1913},[137],{"categories":1915},[76],{"categories":1917},[480],{"categories":1919},[453],{"categories":1921},[76],{"categories":1923},[123],{"categories":1925},[76],{"categories":1927},[1928],"Law-Firm Practice & Adoption",{"categories":1930},[76],{"categories":1932},[123],{"categories":1934},[217],{"categories":1936},[76],{"categories":1938},[76],{"categories":1940},[76],{"categories":1942},[],{"categories":1944},[137],{"categories":1946},[],{"categories":1948},[137],{"categories":1950},[76],{"categories":1952},[],{"categories":1954},[123],{"categories":1956},[113],{"categories":1958},[291],{"categories":1960},[76],{"categories":1962},[],{"categories":1964},[76],{"categories":1966},[113],{"categories":1968},[123],{"categories":1970},[118],{"categories":1972},[76],{"categories":1974},[250],{"categories":1976},[76],{"categories":1978},[],{"categories":1980},[118],{"categories":1982},[123],{"categories":1984},[118],{"categories":1986},[],{"categories":1988},[76],{"categories":1990},[126],{"categories":1992},[76],{"categories":1994},[137],{"categories":1996},[],{"categories":1998},[],{"categories":2000},[],{"categories":2002},[],{"categories":2004},[76],{"categories":2006},[126],{"categories":2008},[123],{"categories":2010},[291],{"categories":2012},[76],{"categories":2014},[113],{"categories":2016},[137],{"categories":2018},[76],{"categories":2020},[76],{"categories":2022},[137],{"categories":2024},[126],{"categories":2026},[76],{"categories":2028},[76],{"categories":2030},[76],{"categories":2032},[961],{"categories":2034},[76],{"categories":2036},[137],{"categories":2038},[76],{"categories":2040},[250],{"categories":2042},[137],{"categories":2044},[118],{"categories":2046},[76],{"categories":2048},[76],{"categories":2050},[76],{"categories":2052},[217],{"categories":2054},[76],{"categories":2056},[76],{"categories":2058},[76],{"categories":2060},[76],{"categories":2062},[118],{"categories":2064},[123],{"categories":2066},[76,113],{"categories":2068},[480],{"categories":2070},[76],{"categories":2072},[76],{"categories":2074},[137],{"categories":2076},[137],{"categories":2078},[217],{"categories":2080},[123],{"categories":2082},[123],{"categories":2084},[137],{"categories":2086},[76],{"categories":2088},[123],{"categories":2090},[76],{"categories":2092},[76],{"categories":2094},[],{"categories":2096},[],{"categories":2098},[76],{"categories":2100},[140],{"categories":2102},[76],{"categories":2104},[76],{"categories":2106},[217],{"categories":2108},[123],{"categories":2110},[],{"categories":2112},[76],{"categories":2114},[76],{"categories":2116},[118],{"categories":2118},[137],{"categories":2120},[140],{"categories":2122},[162],{"categories":2124},[126],{"categories":2126},[217],{"categories":2128},[76],{"categories":2130},[123],{"categories":2132},[76],{"categories":2134},[137],{"categories":2136},[],{"categories":2138},[123],{"categories":2140},[123],{"categories":2142},[76],{"categories":2144},[76],{"categories":2146},[76],{"categories":2148},[76],{"categories":2150},[76],{"categories":2152},[],{"categories":2154},[123],{"categories":2156},[76],{"categories":2158},[76],{"categories":2160},[76],{"categories":2162},[],{"categories":2164},[123],{"categories":2166},[123],{"categories":2168},[76],{"categories":2170},[76],{"categories":2172},[118],{"categories":2174},[76],{"categories":2176},[76],{"categories":2178},[],{"categories":2180},[113],{"categories":2182},[76],{"categories":2184},[76],{"categories":2186},[76],{"categories":2188},[217],{"categories":2190},[76],{"categories":2192},[137],{"categories":2194},[76],{"categories":2196},[113],{"categories":2198},[76],{"categories":2200},[137],{"categories":2202},[250],{"categories":2204},[137],{"categories":2206},[123],{"categories":2208},[123],{"categories":2210},[76],{"categories":2212},[76],{"categories":2214},[76,217],{"categories":2216},[76],{"categories":2218},[123],{"categories":2220},[162],{"categories":2222},[76],{"categories":2224},[162],{"categories":2226},[123],{"categories":2228},[217],{"categories":2230},[76],{"categories":2232},[],{"categories":2234},[137],{"categories":2236},[291],{"categories":2238},[217],{"categories":2240},[137],{"categories":2242},[76],{"categories":2244},[126],{"categories":2246},[76],{"categories":2248},[76],{"categories":2250},[123],{"categories":2252},[],{"categories":2254},[],{"categories":2256},[76],{"categories":2258},[],{"categories":2260},[],{"categories":2262},[126],{"categories":2264},[137],{"categories":2266},[76],{"categories":2268},[76],{"categories":2270},[123],{"categories":2272},[76],{"categories":2274},[123],{"categories":2276},[118],{"categories":2278},[123],{"categories":2280},[291],{"categories":2282},[76],{"categories":2284},[76],{"categories":2286},[76],{"categories":2288},[151],{"categories":2290},[76],{"categories":2292},[76],{"categories":2294},[76],{"categories":2296},[76],{"categories":2298},[137],{"categories":2300},[123],{"categories":2302},[76],{"categories":2304},[76],{"categories":2306},[76],{"categories":2308},[137],{"categories":2310},[420],{"categories":2312},[123],{"categories":2314},[932],{"categories":2316},[],{"categories":2318},[123],{"categories":2320},[217],{"categories":2322},[1928],{"categories":2324},[137],{"categories":2326},[],{"categories":2328},[],{"categories":2330},[76],{"categories":2332},[123],{"categories":2334},[],{"categories":2336},[],{"categories":2338},[76],{"categories":2340},[250],{"categories":2342},[76],{"categories":2344},[250],{"categories":2346},[76],{"categories":2348},[123],{"categories":2350},[76],{"categories":2352},[76],{"categories":2354},[140],{"categories":2356},[76],{"categories":2358},[137],{"categories":2360},[126],{"categories":2362},[],{"categories":2364},[76],{"categories":2366},[76],{"categories":2368},[76],{"categories":2370},[137],{"categories":2372},[76],{"categories":2374},[1859],{"categories":2376},[76],{"categories":2378},[217],{"categories":2380},[217],{"categories":2382},[76],{"categories":2384},[123],{"categories":2386},[113],{"categories":2388},[76],{"categories":2390},[76],{"categories":2392},[76],{"categories":2394},[76],{"categories":2396},[217],{"categories":2398},[217],{"categories":2400},[123],{"categories":2402},[123],{"categories":2404},[123],{"categories":2406},[76],{"categories":2408},[76],{"categories":2410},[76],{"categories":2412},[123],{"categories":2414},[],{"categories":2416},[76],{"categories":2418},[],{"categories":2420},[217],{"categories":2422},[2423],"Interaction & Product Design",{"categories":2425},[76],{"categories":2427},[123],{"categories":2429},[137],{"categories":2431},[326],{"categories":2433},[162],{"categories":2435},[137],{"categories":2437},[76],{"categories":2439},[126],{"categories":2441},[76],{"categories":2443},[76],{"categories":2445},[137],{"categories":2447},[76],{"categories":2449},[113],{"categories":2451},[123],{"categories":2453},[76],{"categories":2455},[],{"categories":2457},[123],{"categories":2459},[123],{"categories":2461},[123],{"categories":2463},[],{"categories":2465},[137],{"categories":2467},[76],{"categories":2469},[123],{"categories":2471},[113],{"categories":2473},[2423],{"categories":2475},[76],{"categories":2477},[113],{"categories":2479},[113],{"categories":2481},[76],{"categories":2483},[],{"categories":2485},[76],{"categories":2487},[123],{"categories":2489},[137],{"categories":2491},[],{"categories":2493},[123],{"categories":2495},[126],{"categories":2497},[162],{"categories":2499},[76],{"categories":2501},[123],{"categories":2503},[76],{"categories":2505},[123],{"categories":2507},[123],{"categories":2509},[76],{"categories":2511},[76],{"categories":2513},[162],{"categories":2515},[140],{"categories":2517},[76],{"categories":2519},[126],{"categories":2521},[137],{"categories":2523},[2524],"Coding Agents & Dev Productivity",{"categories":2526},[162],{"categories":2528},[217],{"categories":2530},[76],{"categories":2532},[76],{"categories":2534},[],{"categories":2536},[76],{"categories":2538},[932],{"categories":2540},[],{"categories":2542},[76],{"categories":2544},[76],{"categories":2546},[291],{"categories":2548},[76],{"categories":2550},[162],{"categories":2552},[],{"categories":2554},[],{"categories":2556},[76],{"categories":2558},[],{"categories":2560},[123],{"categories":2562},[76],{"categories":2564},[123],{"categories":2566},[],{"categories":2568},[137],{"categories":2570},[137],{"categories":2572},[76],{"categories":2574},[140],{"categories":2576},[],{"categories":2578},[76],{"categories":2580},[76],{"categories":2582},[76],{"categories":2584},[140],{"categories":2586},[137],{"categories":2588},[123],{"categories":2590},[],{"categories":2592},[],{"categories":2594},[76],{"categories":2596},[76],{"categories":2598},[76],{"categories":2600},[76],{"categories":2602},[123],{"categories":2604},[123],{"categories":2606},[397],{"categories":2608},[137],{"categories":2610},[126],{"categories":2612},[137],{"categories":2614},[123],{"categories":2616},[162],{"categories":2618},[162],{"categories":2620},[123],{"categories":2622},[123],{"categories":2624},[76],{"categories":2626},[113],{"categories":2628},[2423],{"categories":2630},[126],{"categories":2632},[76,291],{"categories":2634},[140],{"categories":2636},[],{"categories":2638},[217],{"categories":2640},[123],{"categories":2642},[137],{"categories":2644},[113],{"categories":2646},[76],{"categories":2648},[123],{"categories":2650},[2651],"The Designer's Role & Craft",{"categories":2653},[217],{"categories":2655},[],{"categories":2657},[123],{"categories":2659},[76],{"categories":2661},[123],{"categories":2663},[123],{"categories":2665},[76],{"categories":2667},[250],{"categories":2669},[76],{"categories":2671},[137],{"categories":2673},[123],{"categories":2675},[76],{"categories":2677},[217],{"categories":2679},[76],{"categories":2681},[],{"categories":2683},[123],{"categories":2685},[217],{"categories":2687},[126],{"categories":2689},[76],{"categories":2691},[123],{"categories":2693},[76],{"categories":2695},[76],{"categories":2697},[76],{"categories":2699},[2700],"AI UX Patterns",{"categories":2702},[123],{"categories":2704},[123],{"categories":2706},[123],{"categories":2708},[76],{"categories":2710},[123],{"categories":2712},[250],{"categories":2714},[140],{"categories":2716},[76],{"categories":2718},[123],{"categories":2720},[76],{"categories":2722},[1302],{"categories":2724},[],{"categories":2726},[250],{"categories":2728},[123],{"categories":2730},[162],{"categories":2732},[137],{"categories":2734},[76],{"categories":2736},[123],{"categories":2738},[],{"categories":2740},[],{"categories":2742},[76],{"categories":2744},[76],{"categories":2746},[123],{"categories":2748},[76],{"categories":2750},[123],{"categories":2752},[397],{"categories":2754},[217],{"categories":2756},[76],{"categories":2758},[162],{"categories":2760},[137],{"categories":2762},[76],{"categories":2764},[123],{"categories":2766},[123],{"categories":2768},[],{"categories":2770},[76],{"categories":2772},[],{"categories":2774},[76],{"categories":2776},[],{"categories":2778},[76],{"categories":2780},[76],{"categories":2782},[76],{"categories":2784},[123],{"categories":2786},[137],{"categories":2788},[],{"categories":2790},[],{"categories":2792},[140],{"categories":2794},[151],{"categories":2796},[76],{"categories":2798},[76],{"categories":2800},[76],{"categories":2802},[140],{"categories":2804},[140],{"categories":2806},[76],{"categories":2808},[76],{"categories":2810},[162],{"categories":2812},[76],{"categories":2814},[76],{"categories":2816},[76],{"categories":2818},[123],{"categories":2820},[76],{"categories":2822},[123],{"categories":2824},[76],{"categories":2826},[76],{"categories":2828},[76],{"categories":2830},[123],{"categories":2832},[],{"categories":2834},[76],{"categories":2836},[],{"categories":2838},[76],{"categories":2840},[76],{"categories":2842},[291],{"categories":2844},[76],{"categories":2846},[],{"categories":2848},[],{"categories":2850},[217],{"categories":2852},[961],{"categories":2854},[123],{"categories":2856},[113],{"categories":2858},[2651],{"categories":2860},[],{"categories":2862},[],{"categories":2864},[76],{"categories":2866},[],{"categories":2868},[],{"categories":2870},[137],{"categories":2872},[162],{"categories":2874},[250],{"categories":2876},[123],{"categories":2878},[118],{"categories":2880},[76],{"categories":2882},[76],{"categories":2884},[118],{"categories":2886},[],{"categories":2888},[217],{"categories":2890},[126],{"categories":2892},[76],{"categories":2894},[76],{"categories":2896},[123],{"categories":2898},[118],{"categories":2900},[76],{"categories":2902},[76],{"categories":2904},[113],{"categories":2906},[76],{"categories":2908},[76],{"categories":2910},[],{"categories":2912},[113],{"categories":2914},[76],{"categories":2916},[250],{"categories":2918},[137],{"categories":2920},[123],{"categories":2922},[162],{"categories":2924},[76],{"categories":2926},[137],{"categories":2928},[76],{"categories":2930},[76],{"categories":2932},[76],{"categories":2934},[76],{"categories":2936},[118],{"categories":2938},[76],{"categories":2940},[76],{"categories":2942},[76],{"categories":2944},[123],{"categories":2946},[76],{"categories":2948},[76],{"categories":2950},[],{"categories":2952},[76],{"categories":2954},[137],{"categories":2956},[113],{"categories":2958},[76],{"categories":2960},[76],{"categories":2962},[217],{"categories":2964},[76],{"categories":2966},[],{"categories":2968},[76],{"categories":2970},[480],{"categories":2972},[123],{"categories":2974},[118],{"categories":2976},[76],{"categories":2978},[162],{"categories":2980},[76],{"categories":2982},[76],{"categories":2984},[],{"categories":2986},[118],{"categories":2988},[118],{"categories":2990},[76],{"categories":2992},[76],{"categories":2994},[126],{"categories":2996},[76],{"categories":2998},[76],{"categories":3000},[76],{"categories":3002},[76],{"categories":3004},[137],{"categories":3006},[140],{"categories":3008},[137],{"categories":3010},[76],{"categories":3012},[],{"categories":3014},[76],{"categories":3016},[137],{"categories":3018},[76],{"categories":3020},[137],{"categories":3022},[123],{"categories":3024},[595],{"categories":3026},[],{"categories":3028},[],{"categories":3030},[76],{"categories":3032},[162],{"categories":3034},[],{"categories":3036},[291],{"categories":3038},[76],{"categories":3040},[76],{"categories":3042},[76],{"categories":3044},[217],{"categories":3046},[921],{"categories":3048},[],{"categories":3050},[76],{"categories":3052},[76],{"categories":3054},[76],{"categories":3056},[137],{"categories":3058},[76],{"categories":3060},[76],{"categories":3062},[76],{"categories":3064},[76],{"categories":3066},[76,291],{"categories":3068},[76],{"categories":3070},[76],{"categories":3072},[217],{"categories":3074},[123],{"categories":3076},[],{"categories":3078},[123],{"categories":3080},[123],{"categories":3082},[76],{"categories":3084},[76],{"categories":3086},[76],{"categories":3088},[76],{"categories":3090},[140],{"categories":3092},[76],{"categories":3094},[76],{"categories":3096},[2700],{"categories":3098},[113],{"categories":3100},[76],{"categories":3102},[140],{"categories":3104},[113],{"categories":3106},[137],{"categories":3108},[217],{"categories":3110},[123],{"categories":3112},[76],{"categories":3114},[76],{"categories":3116},[],{"categories":3118},[118],{"categories":3120},[76],{"categories":3122},[76],{"categories":3124},[162],{"categories":3126},[76],{"categories":3128},[76],{"categories":3130},[76],{"categories":3132},[123],{"categories":3134},[76],{"categories":3136},[76],{"categories":3138},[217],{"categories":3140},[76],{"categories":3142},[118],{"categories":3144},[],{"categories":3146},[291],{"categories":3148},[76],{"categories":3150},[397],{"categories":3152},[217],{"categories":3154},[217],{"categories":3156},[137],{"categories":3158},[123],{"categories":3160},[76],{"categories":3162},[118],{"categories":3164},[162],{"categories":3166},[76],{"categories":3168},[76],{"categories":3170},[76],{"categories":3172},[217],{"categories":3174},[123],{"categories":3176},[76],{"categories":3178},[123],{"categories":3180},[76],{"categories":3182},[123],{"categories":3184},[76],{"categories":3186},[549],{"categories":3188},[76],{"categories":3190},[123],{"categories":3192},[],{"categories":3194},[76],{"categories":3196},[76],{"categories":3198},[76],{"categories":3200},[76],{"categories":3202},[123],{"categories":3204},[],{"categories":3206},[],{"categories":3208},[76],{"categories":3210},[76],{"categories":3212},[123],{"categories":3214},[76],{"categories":3216},[76],{"categories":3218},[76],{"categories":3220},[137],{"categories":3222},[76],{"categories":3224},[76],{"categories":3226},[123],{"categories":3228},[76],{"categories":3230},[76],{"categories":3232},[76],{"categories":3234},[76],{"categories":3236},[76],{"categories":3238},[],{"categories":3240},[137],{"categories":3242},[140],{"categories":3244},[76],{"categories":3246},[123],{"categories":3248},[123],{"categories":3250},[76],{"categories":3252},[76],{"categories":3254},[],{"categories":3256},[],{"categories":3258},[76],{"categories":3260},[76],{"categories":3262},[76],{"categories":3264},[162],{"categories":3266},[140],{"categories":3268},[],{"categories":3270},[76],{"categories":3272},[217],{"categories":3274},[76],{"categories":3276},[291],{"categories":3278},[1928],{"categories":3280},[76],{"categories":3282},[162],{"categories":3284},[137],{"categories":3286},[76],{"categories":3288},[137],{"categories":3290},[137],{"categories":3292},[76],{"categories":3294},[76],{"categories":3296},[137],{"categories":3298},[162],{"categories":3300},[162],{"categories":3302},[291],{"categories":3304},[123],{"categories":3306},[],{"categories":3308},[162],{"categories":3310},[118],{"categories":3312},[76],{"categories":3314},[123],{"categories":3316},[113],{"categories":3318},[137],{"categories":3320},[76],{"categories":3322},[118],{"categories":3324},[162],{"categories":3326},[],{"categories":3328},[76],{"categories":3330},[137],{"categories":3332},[76],{"categories":3334},[137],{"categories":3336},[140],{"categories":3338},[76],{"categories":3340},[162],{"categories":3342},[76],{"categories":3344},[137],{"categories":3346},[123],{"categories":3348},[123],{"categories":3350},[162],{"categories":3352},[123],{"categories":3354},[291],{"categories":3356},[123],{"categories":3358},[76],{"categories":3360},[76],{"categories":3362},[76],{"categories":3364},[76],{"categories":3366},[76],{"categories":3368},[137],{"categories":3370},[76],{"categories":3372},[],{"categories":3374},[123],{"categories":3376},[118],{"categories":3378},[137],{"categories":3380},[],{"categories":3382},[],{"categories":3384},[76],{"categories":3386},[123],{"categories":3388},[76],{"categories":3390},[76],{"categories":3392},[76],{"categories":3394},[3395],"Frameworks & Tooling",{"categories":3397},[76],{"categories":3399},[76],{"categories":3401},[137],{"categories":3403},[76],{"categories":3405},[76],{"categories":3407},[],{"categories":3409},[140],{"categories":3411},[140],{"categories":3413},[76],{"categories":3415},[113],{"categories":3417},[76],{"categories":3419},[123],{"categories":3421},[76],{"categories":3423},[217],{"categories":3425},[],{"categories":3427},[1928],{"categories":3429},[76],{"categories":3431},[137],{"categories":3433},[76],{"categories":3435},[291],{"categories":3437},[291],{"categories":3439},[],{"categories":3441},[76],{"categories":3443},[123],{"categories":3445},[123],{"categories":3447},[76],{"categories":3449},[76],{"categories":3451},[162],{"categories":3453},[123],{"categories":3455},[162],{"categories":3457},[76],{"categories":3459},[123],{"categories":3461},[],{"categories":3463},[217],{"categories":3465},[76],{"categories":3467},[76],{"categories":3469},[],{"categories":3471},[76],{"categories":3473},[123],{"categories":3475},[76],{"categories":3477},[76],{"categories":3479},[76],{"categories":3481},[],{"categories":3483},[118],{"categories":3485},[137],{"categories":3487},[76],{"categories":3489},[137],{"categories":3491},[291],{"categories":3493},[76],{"categories":3495},[76],{"categories":3497},[76],{"categories":3499},[137],{"categories":3501},[76],{"categories":3503},[118],{"categories":3505},[76],{"categories":3507},[1928],{"categories":3509},[],{"categories":3511},[123],{"categories":3513},[113],{"categories":3515},[76],{"categories":3517},[113],{"categories":3519},[76],{"categories":3521},[],{"categories":3523},[123],{"categories":3525},[76],{"categories":3527},[76],{"categories":3529},[3530],"AI Design Tooling",{"categories":3532},[217],{"categories":3534},[76],{"categories":3536},[76],{"categories":3538},[137],{"categories":3540},[217],{"categories":3542},[76],{"categories":3544},[76],{"categories":3546},[137],{"categories":3548},[123],{"categories":3550},[162],{"categories":3552},[126],{"categories":3554},[137],{"categories":3556},[76],{"categories":3558},[76],{"categories":3560},[76],{"categories":3562},[123],{"categories":3564},[76],{"categories":3566},[],{"categories":3568},[123],{"categories":3570},[76],{"categories":3572},[76],{"categories":3574},[123],{"categories":3576},[76],{"categories":3578},[76],{"categories":3580},[76],{"categories":3582},[123],{"categories":3584},[],{"categories":3586},[123],{"categories":3588},[3395],{"categories":3590},[76],{"categories":3592},[76],{"categories":3594},[123],{"categories":3596},[123],{"categories":3598},[137],{"categories":3600},[137],{"categories":3602},[76],{"categories":3604},[76],{"categories":3606},[],{"categories":3608},[137],{"categories":3610},[76],{"categories":3612},[76],{"categories":3614},[123],{"categories":3616},[118],{"categories":3618},[76],{"categories":3620},[],{"categories":3622},[76],{"categories":3624},[76],{"categories":3626},[2423],{"categories":3628},[],{"categories":3630},[76],{"categories":3632},[76],{"categories":3634},[76],{"categories":3636},[76],{"categories":3638},[217],{"categories":3640},[76],{"categories":3642},[],{"categories":3644},[76],{"categories":3646},[76],{"categories":3648},[76],{"categories":3650},[76],{"categories":3652},[250],{"categories":3654},[162],{"categories":3656},[76],{"categories":3658},[76],{"categories":3660},[1928],{"categories":3662},[76],{"categories":3664},[113],{"categories":3666},[76],{"categories":3668},[76],{"categories":3670},[140],{"categories":3672},[123],{"categories":3674},[76],{"categories":3676},[76],{"categories":3678},[162],{"categories":3680},[123],{"categories":3682},[],{"categories":3684},[76],{"categories":3686},[76],{"categories":3688},[217],{"categories":3690},[76],{"categories":3692},[250],{"categories":3694},[123],{"categories":3696},[76],{"categories":3698},[123],{"categories":3700},[76],{"categories":3702},[],{"categories":3704},[],{"categories":3706},[],{"categories":3708},[113],{"categories":3710},[162],{"categories":3712},[123],{"categories":3714},[76],{"categories":3716},[76],{"categories":3718},[76],{"categories":3720},[76],{"categories":3722},[420],{"categories":3724},[217],{"categories":3726},[123],{"categories":3728},[76],{"categories":3730},[],{"categories":3732},[76],{"categories":3734},[123],{"categories":3736},[123],{"categories":3738},[],{"categories":3740},[76],{"categories":3742},[123],{"categories":3744},[76],{"categories":3746},[],{"categories":3748},[76],{"categories":3750},[76],{"categories":3752},[76],{"categories":3754},[162],{"categories":3756},[217],{"categories":3758},[123],{"categories":3760},[217],{"categories":3762},[123],{"categories":3764},[76],{"categories":3766},[118],{"categories":3768},[],{"categories":3770},[],{"categories":3772},[76],{"categories":3774},[76],{"categories":3776},[76],{"categories":3778},[113],{"categories":3780},[76],{"categories":3782},[123],{"categories":3784},[162],{"categories":3786},[],{"categories":3788},[217],{"categories":3790},[123],{"categories":3792},[],{"categories":3794},[137],{"categories":3796},[76],{"categories":3798},[137],{"categories":3800},[217],{"categories":3802},[137],{"categories":3804},[76],{"categories":3806},[],{"categories":3808},[76],{"categories":3810},[76],{"categories":3812},[123],{"categories":3814},[],{"categories":3816},[76],{"categories":3818},[76],{"categories":3820},[250],{"categories":3822},[76],{"categories":3824},[76],{"categories":3826},[291],{"categories":3828},[137],{"categories":3830},[76],{"categories":3832},[123],{"categories":3834},[],{"categories":3836},[76],{"categories":3838},[123],{"categories":3840},[76],{"categories":3842},[113],{"categories":3844},[549],{"categories":3846},[76],{"categories":3848},[76],{"categories":3850},[76],{"categories":3852},[123],{"categories":3854},[76],{"categories":3856},[123],{"categories":3858},[76],{"categories":3860},[76],{"categories":3862},[76],{"categories":3864},[123],{"categories":3866},[76],{"categories":3868},[76],{"categories":3870},[],{"categories":3872},[76],{"categories":3874},[113],{"categories":3876},[76],{"categories":3878},[118],{"categories":3880},[137],{"categories":3882},[217],{"categories":3884},[],{"categories":3886},[76],{"categories":3888},[],{"categories":3890},[123],{"categories":3892},[76],{"categories":3894},[123],{"categories":3896},[],{"categories":3898},[123],{"categories":3900},[76],{"categories":3902},[137],{"categories":3904},[217],{"categories":3906},[162],{"categories":3908},[76],{"categories":3910},[162],{"categories":3912},[123],{"categories":3914},[76],{"categories":3916},[217],{"categories":3918},[76],{"categories":3920},[],{"categories":3922},[76],{"categories":3924},[151],{"categories":3926},[123],{"categories":3928},[76],{"categories":3930},[217],{"categories":3932},[162],{"categories":3934},[76],{"categories":3936},[118],{"categories":3938},[137],{"categories":3940},[76],{"categories":3942},[76],{"categories":3944},[76],{"categories":3946},[76],{"categories":3948},[76],{"categories":3950},[162],{"categories":3952},[137],{"categories":3954},[250],{"categories":3956},[],{"categories":3958},[],{"categories":3960},[140],{"categories":3962},[480],{"categories":3964},[76],{"categories":3966},[123],{"categories":3968},[76,137],{"categories":3970},[162],{"categories":3972},[76],{"categories":3974},[76],{"categories":3976},[76],{"categories":3978},[76],{"categories":3980},[76],{"categories":3982},[76],{"categories":3984},[76],{"categories":3986},[123],{"categories":3988},[76],{"categories":3990},[76],{"categories":3992},[123],{"categories":3994},[76],{"categories":3996},[76],{"categories":3998},[76],{"categories":4000},[],{"categories":4002},[76],{"categories":4004},[1302],{"categories":4006},[137],{"categories":4008},[217],{"categories":4010},[76],{"categories":4012},[76],{"categories":4014},[76],{"categories":4016},[76],{"categories":4018},[140],{"categories":4020},[123],{"categories":4022},[250],{"categories":4024},[291],{"categories":4026},[],{"categories":4028},[137],{"categories":4030},[76],{"categories":4032},[118],{"categories":4034},[123],{"categories":4036},[76],{"categories":4038},[113],{"categories":4040},[123],{"categories":4042},[76],{"categories":4044},[123],{"categories":4046},[123],{"categories":4048},[126],{"categories":4050},[137],{"categories":4052},[76],{"categories":4054},[76],{"categories":4056},[],{"categories":4058},[],{"categories":4060},[],{"categories":4062},[291],{"categories":4064},[76],{"categories":4066},[162],{"categories":4068},[76],{"categories":4070},[76],{"categories":4072},[76],{"categories":4074},[76],{"categories":4076},[137],{"categories":4078},[76],{"categories":4080},[],{"categories":4082},[76],{"categories":4084},[140],{"categories":4086},[118],{"categories":4088},[123],{"categories":4090},[76],{"categories":4092},[],{"categories":4094},[76],{"categories":4096},[123],{"categories":4098},[137],{"categories":4100},[76],{"categories":4102},[76],{"categories":4104},[76],{"categories":4106},[291],{"categories":4108},[],{"categories":4110},[217],{"categories":4112},[217],{"categories":4114},[76],{"categories":4116},[123],{"categories":4118},[],{"categories":4120},[137],{"categories":4122},[76],{"categories":4124},[217],{"categories":4126},[76],{"categories":4128},[118],{"categories":4130},[123],{"categories":4132},[76],{"categories":4134},[],{"categories":4136},[162],{"categories":4138},[76],{"categories":4140},[76],{"categories":4142},[76],{"categories":4144},[76],{"categories":4146},[217],{"categories":4148},[123],{"categories":4150},[162],{"categories":4152},[],{"categories":4154},[123],{"categories":4156},[76],{"categories":4158},[118],{"categories":4160},[123],{"categories":4162},[217],{"categories":4164},[76],{"categories":4166},[76],{"categories":4168},[76],{"categories":4170},[480],{"categories":4172},[76],{"categories":4174},[123],{"categories":4176},[],{"categories":4178},[76],{"categories":4180},[76],{"categories":4182},[291],{"categories":4184},[162],{"categories":4186},[140],{"categories":4188},[595],{"categories":4190},[140],{"categories":4192},[140],{"categories":4194},[76],{"categories":4196},[],{"categories":4198},[],{"categories":4200},[],{"categories":4202},[123],{"categories":4204},[76],{"categories":4206},[76],{"categories":4208},[123],{"categories":4210},[123],{"categories":4212},[137],{"categories":4214},[76],{"categories":4216},[453],{"categories":4218},[137],{"categories":4220},[76],{"categories":4222},[123],{"categories":4224},[76],{"categories":4226},[76],{"categories":4228},[76],{"categories":4230},[118],{"categories":4232},[76],{"categories":4234},[76],{"categories":4236},[76],{"categories":4238},[123],{"categories":4240},[76],{"categories":4242},[],{"categories":4244},[],{"categories":4246},[76],{"categories":4248},[],{"categories":4250},[76],{"categories":4252},[123],{"categories":4254},[217],{"categories":4256},[76],{"categories":4258},[76],{"categories":4260},[123],{"categories":4262},[],{"categories":4264},[123],{"categories":4266},[76],{"categories":4268},[76],{"categories":4270},[126],{"categories":4272},[76],{"categories":4274},[217],{"categories":4276},[76],{"categories":4278},[123],{"categories":4280},[118],{"categories":4282},[76],{"categories":4284},[76],{"categories":4286},[76],{"categories":4288},[250],{"categories":4290},[123],{"categories":4292},[76],{"categories":4294},[76],{"categories":4296},[921],{"categories":4298},[76],{"categories":4300},[123],{"categories":4302},[76],{"categories":4304},[137],{"categories":4306},[76],{"categories":4308},[549],{"categories":4310},[217],{"categories":4312},[],{"categories":4314},[76],{"categories":4316},[76],{"categories":4318},[162],{"categories":4320},[480],{"categories":4322},[123],{"categories":4324},[76],{"categories":4326},[],{"categories":4328},[162],{"categories":4330},[397],{"categories":4332},[123],{"categories":4334},[123],{"categories":4336},[123],{"categories":4338},[76],{"categories":4340},[76],{"categories":4342},[123],{"categories":4344},[76],{"categories":4346},[],{"categories":4348},[118],{"categories":4350},[76],{"categories":4352},[217],{"categories":4354},[118],{"categories":4356},[123],{"categories":4358},[],{"categories":4360},[137],{"categories":4362},[76],{"categories":4364},[76],{"categories":4366},[113],{"categories":4368},[76],{"categories":4370},[162],{"categories":4372},[291],{"categories":4374},[151],{"categories":4376},[123],{"categories":4378},[123],{"categories":4380},[76],{"categories":4382},[76],{"categories":4384},[123],{"categories":4386},[76],{"categories":4388},[113],{"categories":4390},[],{"categories":4392},[123],{"categories":4394},[76],{"categories":4396},[76],{"categories":4398},[76],{"categories":4400},[123],{"categories":4402},[76],{"categories":4404},[],{"categories":4406},[76],{"categories":4408},[],{"categories":4410},[217],{"categories":4412},[123],{"categories":4414},[76,118],{"categories":4416},[123],{"categories":4418},[76],{"categories":4420},[],{"categories":4422},[113],{"categories":4424},[140],{"categories":4426},[118],{"categories":4428},[76],{"categories":4430},[137],{"categories":4432},[76],{"categories":4434},[76],{"categories":4436},[123],{"categories":4438},[76],{"categories":4440},[76],{"categories":4442},[76],{"categories":4444},[162],{"categories":4446},[1302],{"categories":4448},[123],{"categories":4450},[76],{"categories":4452},[],{"categories":4454},[],{"categories":4456},[76],{"categories":4458},[123],{"categories":4460},[76],{"categories":4462},[76],{"categories":4464},[291],{"categories":4466},[],{"categories":4468},[76],{"categories":4470},[123],{"categories":4472},[151],{"categories":4474},[123],{"categories":4476},[76],{"categories":4478},[480],{"categories":4480},[],{"categories":4482},[420],{"categories":4484},[76],{"categories":4486},[123],{"categories":4488},[76],{"categories":4490},[76],{"categories":4492},[76],{"categories":4494},[250],{"categories":4496},[76],{"categories":4498},[123],{"categories":4500},[76],{"categories":4502},[140],{"categories":4504},[126],{"categories":4506},[123],{"categories":4508},[76],{"categories":4510},[480],{"categories":4512},[76],{"categories":4514},[291],{"categories":4516},[118],{"categories":4518},[],{"categories":4520},[76],{"categories":4522},[76],{"categories":4524},[250],{"categories":4526},[217],{"categories":4528},[76],{"categories":4530},[76],{"categories":4532},[76],{"categories":4534},[],{"categories":4536},[250],{"categories":4538},[162],{"categories":4540},[76],{"categories":4542},[76],{"categories":4544},[76],{"categories":4546},[595],{"categories":4548},[113],{"categories":4550},[76],{"categories":4552},[126],{"categories":4554},[76],{"categories":4556},[76],{"categories":4558},[],{"categories":4560},[],{"categories":4562},[217],{"categories":4564},[76],{"categories":4566},[76],{"categories":4568},[140],{"categories":4570},[250],{"categories":4572},[123],{"categories":4574},[76],{"categories":4576},[76],{"categories":4578},[250],{"categories":4580},[118],{"categories":4582},[162],{"categories":4584},[76],{"categories":4586},[],{"categories":4588},[76],{"categories":4590},[76],{"categories":4592},[],{"categories":4594},[76],{"categories":4596},[76],{"categories":4598},[622],{"categories":4600},[76],{"categories":4602},[76],{"categories":4604},[123],{"categories":4606},[137],{"categories":4608},[480],{"categories":4610},[76],{"categories":4612},[118],{"categories":4614},[76],{"categories":4616},[76],{"categories":4618},[],{"categories":4620},[76,137],{"categories":4622},[162],{"categories":4624},[123],{"categories":4626},[137],{"categories":4628},[123],{"categories":4630},[961],{"categories":4632},[137],{"categories":4634},[137],{"categories":4636},[123],{"categories":4638},[76],{"categories":4640},[113],{"categories":4642},[76],{"categories":4644},[],{"categories":4646},[],{"categories":4648},[123],{"categories":4650},[76],{"categories":4652},[137],{"categories":4654},[123],{"categories":4656},[76],{"categories":4658},[113],{"categories":4660},[137],{"categories":4662},[137],{"categories":4664},[76],{"categories":4666},[250],{"categories":4668},[76],{"categories":4670},[76],{"categories":4672},[137],{"categories":4674},[76],{"categories":4676},[],{"categories":4678},[76],{"categories":4680},[76],{"categories":4682},[217,76],{"categories":4684},[291],{"categories":4686},[113],{"categories":4688},[76],{"categories":4690},[],{"categories":4692},[76],{"categories":4694},[76],{"categories":4696},[118],{"categories":4698},[76],{"categories":4700},[118],{"categories":4702},[76],{"categories":4704},[76],{"categories":4706},[397],{"categories":4708},[76],{"categories":4710},[118],{"categories":4712},[137],{"categories":4714},[140],{"categories":4716},[123],{"categories":4718},[76],{"categories":4720},[137],{"categories":4722},[76],{"categories":4724},[76],{"categories":4726},[162],{"categories":4728},[250],{"categories":4730},[217],{"categories":4732},[76],{"categories":4734},[76],{"categories":4736},[126],{"categories":4738},[76],{"categories":4740},[76],{"categories":4742},[113],{"categories":4744},[76],{"categories":4746},[123],{"categories":4748},[123],{"categories":4750},[137],{"categories":4752},[76],{"categories":4754},[162],{"categories":4756},[137],{"categories":4758},[137],{"categories":4760},[76],{"categories":4762},[76],{"categories":4764},[],{"categories":4766},[],{"categories":4768},[140],{"categories":4770},[76],{"categories":4772},[137],{"categories":4774},[76],{"categories":4776},[217],{"categories":4778},[480],{"categories":4780},[420],{"categories":4782},[397],{"categories":4784},[76],{"categories":4786},[76],{"categories":4788},[137],{"categories":4790},[76],{"categories":4792},[140],{"categories":4794},[76],{"categories":4796},[76],{"categories":4798},[76],{"categories":4800},[76],{"categories":4802},[76],{"categories":4804},[76],{"categories":4806},[76],{"categories":4808},[123],{"categories":4810},[113],{"categories":4812},[123],{"categories":4814},[76,118],{"categories":4816},[],{"categories":4818},[217],{"categories":4820},[],{"categories":4822},[126],{"categories":4824},[76],{"categories":4826},[162],{"categories":4828},[113],{"categories":4830},[76],{"categories":4832},[113],{"categories":4834},[123],{"categories":4836},[140],{"categories":4838},[123],{"categories":4840},[118],{"categories":4842},[126],{"categories":4844},[76],{"categories":4846},[123],{"categories":4848},[76],{"categories":4850},[76],{"categories":4852},[76],{"categories":4854},[118],{"categories":4856},[123],{"categories":4858},[137],{"categories":4860},[250],{"categories":4862},[76],{"categories":4864},[76],{"categories":4866},[],{"categories":4868},[162],{"categories":4870},[76],{"categories":4872},[76],{"categories":4874},[76],{"categories":4876},[76],{"categories":4878},[76],{"categories":4880},[76],{"categories":4882},[137],{"categories":4884},[162],{"categories":4886},[137],{"categories":4888},[137],{"categories":4890},[76],{"categories":4892},[76],{"categories":4894},[76],{"categories":4896},[76],{"categories":4898},[420],{"categories":4900},[76],{"categories":4902},[123],{"categories":4904},[123],{"categories":4906},[162],{"categories":4908},[76],{"categories":4910},[76],{"categories":4912},[76],{"categories":4914},[123],{"categories":4916},[76],{"categories":4918},[76],{"categories":4920},[76],{"categories":4922},[3395],{"categories":4924},[4925],"Clinical AI",{"categories":4927},[217],{"categories":4929},[76],{"categories":4931},[76],{"categories":4933},[76],{"categories":4935},[76],{"categories":4937},[291],{"categories":4939},[2700],{"categories":4941},[76],{"categories":4943},[126],{"categories":4945},[217],{"categories":4947},[76],{"categories":4949},[123],{"categories":4951},[76],{"categories":4953},[76],{"categories":4955},[162],{"categories":4957},[76],{"categories":4959},[123],{"categories":4961},[137],{"categories":4963},[250],{"categories":4965},[76],{"categories":4967},[76],{"categories":4969},[118],{"categories":4971},[76],{"categories":4973},[76],{"categories":4975},[549],{"categories":4977},[76],{"categories":4979},[],{"categories":4981},[123],{"categories":4983},[76],{"categories":4985},[137],{"categories":4987},[113],{"categories":4989},[76],{"categories":4991},[],{"categories":4993},[],{"categories":4995},[76],{"categories":4997},[],{"categories":4999},[118],{"categories":5001},[76],{"categories":5003},[76],{"categories":5005},[123],{"categories":5007},[76],{"categories":5009},[162],{"categories":5011},[162],{"categories":5013},[162],{"categories":5015},[162],{"categories":5017},[],{"categories":5019},[113],{"categories":5021},[123],{"categories":5023},[162],{"categories":5025},[76],{"categories":5027},[622],{"categories":5029},[126],{"categories":5031},[123],{"categories":5033},[76],{"categories":5035},[113],{"categories":5037},[76],{"categories":5039},[123],{"categories":5041},[76],{"categories":5043},[76],{"categories":5045},[76],{"categories":5047},[76],{"categories":5049},[76,123],{"categories":5051},[123],{"categories":5053},[291],{"categories":5055},[162],{"categories":5057},[123],{"categories":5059},[162],{"categories":5061},[123],{"categories":5063},[76],{"categories":5065},[],{"categories":5067},[162],{"categories":5069},[250],{"categories":5071},[113],{"categories":5073},[76],{"categories":5075},[76],{"categories":5077},[],{"categories":5079},[137],{"categories":5081},[],{"categories":5083},[113],{"categories":5085},[123],{"categories":5087},[162],{"categories":5089},[76],{"categories":5091},[162],{"categories":5093},[113],{"categories":5095},[162],{"categories":5097},[162],{"categories":5099},[],{"categories":5101},[118],{"categories":5103},[123],{"categories":5105},[162],{"categories":5107},[162],{"categories":5109},[162],{"categories":5111},[162],{"categories":5113},[162],{"categories":5115},[162],{"categories":5117},[162],{"categories":5119},[162],{"categories":5121},[162],{"categories":5123},[162],{"categories":5125},[140],{"categories":5127},[113],{"categories":5129},[76],{"categories":5131},[76],{"categories":5133},[123],{"categories":5135},[123],{"categories":5137},[],{"categories":5139},[76],{"categories":5141},[76,113],{"categories":5143},[],{"categories":5145},[123],{"categories":5147},[76],{"categories":5149},[162],{"categories":5151},[123],{"categories":5153},[123],{"categories":5155},[961],{"categories":5157},[76],{"categories":5159},[76],{"categories":5161},[76],{"categories":5163},[76],{"categories":5165},[126],{"categories":5167},[76],{"categories":5169},[76],{"categories":5171},[397],{"categories":5173},[76],{"categories":5175},[76],{"categories":5177},[123],{"categories":5179},[76],{"categories":5181},[76],{"categories":5183},[76],{"categories":5185},[118],{"categories":5187},[126],{"categories":5189},[123],{"categories":5191},[123],{"categories":5193},[],{"categories":5195},[123],{"categories":5197},[217],{"categories":5199},[162],{"categories":5201},[76],{"categories":5203},[],{"categories":5205},[126],{"categories":5207},[],{"categories":5209},[137],{"categories":5211},[76],{"categories":5213},[123],{"categories":5215},[217],{"categories":5217},[76],{"categories":5219},[76],{"categories":5221},[],{"categories":5223},[76],{"categories":5225},[76],{"categories":5227},[],{"categories":5229},[250],{"categories":5231},[76],{"categories":5233},[123],{"categories":5235},[],{"categories":5237},[],{"categories":5239},[162],{"categories":5241},[113],{"categories":5243},[76],{"categories":5245},[76],{"categories":5247},[118],{"categories":5249},[76],{"categories":5251},[76],{"categories":5253},[123],{"categories":5255},[76],{"categories":5257},[118],{"categories":5259},[118],{"categories":5261},[217],{"categories":5263},[],{"categories":5265},[76],{"categories":5267},[162],{"categories":5269},[],{"categories":5271},[76],{"categories":5273},[76],{"categories":5275},[217],{"categories":5277},[76],{"categories":5279},[76],{"categories":5281},[250],{"categories":5283},[76],{"categories":5285},[291],{"categories":5287},[],{"categories":5289},[123],{"categories":5291},[76],{"categories":5293},[250],{"categories":5295},[137],{"categories":5297},[],{"categories":5299},[76],{"categories":5301},[],{"categories":5303},[123],{"categories":5305},[217],{"categories":5307},[137],{"categories":5309},[],{"categories":5311},[3395],{"categories":5313},[118],{"categories":5315},[113],{"categories":5317},[76],{"categories":5319},[140],{"categories":5321},[123],{"categories":5323},[76],{"categories":5325},[217],{"categories":5327},[76],{"categories":5329},[76],{"categories":5331},[137],{"categories":5333},[],{"categories":5335},[],{"categories":5337},[76],{"categories":5339},[113],{"categories":5341},[76],{"categories":5343},[250],{"categories":5345},[],{"categories":5347},[123],{"categories":5349},[123],{"categories":5351},[76],{"categories":5353},[123],{"categories":5355},[76],{"categories":5357},[162],{"categories":5359},[76],{"categories":5361},[137],{"categories":5363},[76],{"categories":5365},[123],{"categories":5367},[126],{"categories":5369},[76],{"categories":5371},[76],{"categories":5373},[76],{"categories":5375},[76],{"categories":5377},[123],{"categories":5379},[76],{"categories":5381},[126],{"categories":5383},[250],{"categories":5385},[162],{"categories":5387},[],{"categories":5389},[250],{"categories":5391},[76],{"categories":5393},[],{"categories":5395},[137],{"categories":5397},[123],{"categories":5399},[],{"categories":5401},[76],{"categories":5403},[76],{"categories":5405},[76],{"categories":5407},[76],{"categories":5409},[76],{"categories":5411},[123],{"categories":5413},[118],{"categories":5415},[113],{"categories":5417},[76],{"categories":5419},[76],{"categories":5421},[123],{"categories":5423},[76],{"categories":5425},[217],{"categories":5427},[137],{"categories":5429},[137],{"categories":5431},[76],{"categories":5433},[140],{"categories":5435},[123],{"categories":5437},[76],{"categories":5439},[76],{"categories":5441},[123],{"categories":5443},[76],{"categories":5445},[76],{"categories":5447},[123],{"categories":5449},[118],{"categories":5451},[76],{"categories":5453},[217],{"categories":5455},[137],{"categories":5457},[123],{"categories":5459},[76],{"categories":5461},[126],{"categories":5463},[76],{"categories":5465},[126],{"categories":5467},[123],{"categories":5469},[76],{"categories":5471},[76],{"categories":5473},[162],{"categories":5475},[76],{"categories":5477},[],{"categories":5479},[113],{"categories":5481},[76],{"categories":5483},[76],{"categories":5485},[76],{"categories":5487},[137],{"categories":5489},[137],{"categories":5491},[76],{"categories":5493},[137],{"categories":5495},[76],{"categories":5497},[123],{"categories":5499},[76],{"categories":5501},[76],{"categories":5503},[76],{"categories":5505},[76],{"categories":5507},[76],{"categories":5509},[],{"categories":5511},[76],{"categories":5513},[217],{"categories":5515},[123],{"categories":5517},[118],{"categories":5519},[162],{"categories":5521},[76],{"categories":5523},[123],{"categories":5525},[76],{"categories":5527},[123],{"categories":5529},[76],{"categories":5531},[76],{"categories":5533},[217],{"categories":5535},[123],{"categories":5537},[76],{"categories":5539},[250],{"categories":5541},[118],{"categories":5543},[76],{"categories":5545},[140],{"categories":5547},[76],{"categories":5549},[76],{"categories":5551},[162],{"categories":5553},[76],{"categories":5555},[76],{"categories":5557},[76],{"categories":5559},[76],{"categories":5561},[123],{"categories":5563},[291],{"categories":5565},[76],{"categories":5567},[137],{"categories":5569},[123],{"categories":5571},[140],{"categories":5573},[],{"categories":5575},[123],{"categories":5577},[137],{"categories":5579},[76],{"categories":5581},[76],{"categories":5583},[76],{"categories":5585},[2524],{"categories":5587},[76],{"categories":5589},[217],{"categories":5591},[326],{"categories":5593},[76],{"categories":5595},[76],{"categories":5597},[76],{"categories":5599},[76],{"categories":5601},[76],{"categories":5603},[113],{"categories":5605},[123],{"categories":5607},[76],{"categories":5609},[76],{"categories":5611},[137],{"categories":5613},[118],{"categories":5615},[76],{"categories":5617},[137],{"categories":5619},[76],{"categories":5621},[],{"categories":5623},[123],{"categories":5625},[123],{"categories":5627},[76],{"categories":5629},[76],{"categories":5631},[76],{"categories":5633},[140],{"categories":5635},[],{"categories":5637},[162],{"categories":5639},[],{"categories":5641},[162],{"categories":5643},[76],{"categories":5645},[76],{"categories":5647},[76],{"categories":5649},[123],{"categories":5651},[76],{"categories":5653},[123],{"categories":5655},[123],{"categories":5657},[],{"categories":5659},[76],{"categories":5661},[162],{"categories":5663},[76],{"categories":5665},[],{"categories":5667},[76],{"categories":5669},[76],{"categories":5671},[],{"categories":5673},[76],{"categories":5675},[76],{"categories":5677},[217],{"categories":5679},[137],{"categories":5681},[123],{"categories":5683},[76],{"categories":5685},[76],{"categories":5687},[76],{"categories":5689},[76],{"categories":5691},[250],{"categories":5693},[76],{"categories":5695},[76],{"categories":5697},[76],{"categories":5699},[113],{"categories":5701},[76],{"categories":5703},[76],{"categories":5705},[],{"categories":5707},[76],{"categories":5709},[76],{"categories":5711},[76],{"categories":5713},[],{"categories":5715},[123],{"categories":5717},[113],{"categories":5719},[76],{"categories":5721},[76],{"categories":5723},[76],{"categories":5725},[76],{"categories":5727},[162],{"categories":5729},[76],{"categories":5731},[137],{"categories":5733},[126],{"categories":5735},[123],{"categories":5737},[480],{"categories":5739},[76],{"categories":5741},[76],{"categories":5743},[76],{"categories":5745},[137],{"categories":5747},[162],{"categories":5749},[217],{"categories":5751},[76],{"categories":5753},[76],{"categories":5755},[76],{"categories":5757},[76],{"categories":5759},[76],{"categories":5761},[76],{"categories":5763},[162],{"categories":5765},[76],{"categories":5767},[217],{"categories":5769},[76],{"categories":5771},[76],{"categories":5773},[162],{"categories":5775},[217],{"categories":5777},[76],{"categories":5779},[162],{"categories":5781},[76],{"categories":5783},[123],{"categories":5785},[123],{"categories":5787},[123],{"categories":5789},[137],{"categories":5791},[162],{"categories":5793},[123],{"categories":5795},[123],{"categories":5797},[76],{"categories":5799},[137],{"categories":5801},[217],{"categories":5803},[76],{"categories":5805},[76],{"categories":5807},[123],{"categories":5809},[76],{"categories":5811},[],{"categories":5813},[123],{"categories":5815},[],{"categories":5817},[76],{"categories":5819},[76],{"categories":5821},[],{"categories":5823},[],{"categories":5825},[123],{"categories":5827},[118],{"categories":5829},[123],{"categories":5831},[5832],"Liability & Ethics",{"categories":5834},[76],{"categories":5836},[76],{"categories":5838},[76],{"categories":5840},[123],{"categories":5842},[113],{"categories":5844},[123],{"categories":5846},[118],{"categories":5848},[250],{"categories":5850},[76],{"categories":5852},[123],{"categories":5854},[76],{"categories":5856},[76],{"categories":5858},[76],{"categories":5860},[],{"categories":5862},[595],{"categories":5864},[123],{"categories":5866},[],{"categories":5868},[76],{"categories":5870},[113],{"categories":5872},[123],{"categories":5874},[76],{"categories":5876},[],{"categories":5878},[123],{"categories":5880},[76],{"categories":5882},[76],{"categories":5884},[137],{"categories":5886},[76],{"categories":5888},[162],{"categories":5890},[76],{"categories":5892},[76],{"categories":5894},[126],{"categories":5896},[76],{"categories":5898},[123],{"categories":5900},[76],{"categories":5902},[76],{"categories":5904},[76],{"categories":5906},[162],{"categories":5908},[123],{"categories":5910},[137],{"categories":5912},[217],{"categories":5914},[113],{"categories":5916},[76],{"categories":5918},[76],{"categories":5920},[76],{"categories":5922},[],{"categories":5924},[123],{"categories":5926},[123],{"categories":5928},[123],{"categories":5930},[480],{"categories":5932},[217],{"categories":5934},[123],{"categories":5936},[291],{"categories":5938},[137],{"categories":5940},[162],{"categories":5942},[76],{"categories":5944},[217],{"categories":5946},[76],{"categories":5948},[113],{"categories":5950},[],{"categories":5952},[123],{"categories":5954},[76],{"categories":5956},[76],{"categories":5958},[76],{"categories":5960},[76],{"categories":5962},[123],{"categories":5964},[76],{"categories":5966},[76],{"categories":5968},[217],{"categories":5970},[123],{"categories":5972},[],{"categories":5974},[123],{"categories":5976},[126],{"categories":5978},[76],{"categories":5980},[162],{"categories":5982},[123],{"categories":5984},[118],{"categories":5986},[],{"categories":5988},[76],{"categories":5990},[76],{"categories":5992},[126],{"categories":5994},[76],{"categories":5996},[123],{"categories":5998},[162],{"categories":6000},[113],{"categories":6002},[291],{"categories":6004},[76],{"categories":6006},[76],{"categories":6008},[76],{"categories":6010},[162],{"categories":6012},[118],{"categories":6014},[76],{"categories":6016},[217],{"categories":6018},[162],{"categories":6020},[291],{"categories":6022},[76],{"categories":6024},[123],{"categories":6026},[],{"categories":6028},[549],{"categories":6030},[],{"categories":6032},[76],{"categories":6034},[291],{"categories":6036},[76],{"categories":6038},[140],{"categories":6040},[76],{"categories":6042},[123],{"categories":6044},[123],{"categories":6046},[6047],"Design News & Tools",{"categories":6049},[76],{"categories":6051},[76],{"categories":6053},[162],{"categories":6055},[76],{"categories":6057},[76],{"categories":6059},[76],{"categories":6061},[113],{"categories":6063},[123],{"categories":6065},[76],{"categories":6067},[217],{"categories":6069},[123],{"categories":6071},[123],{"categories":6073},[217],{"categories":6075},[76],{"categories":6077},[76],{"categories":6079},[76],{"categories":6081},[480],{"categories":6083},[123],{"categories":6085},[76],{"categories":6087},[76],{"categories":6089},[76],{"categories":6091},[480],{"categories":6093},[76],{"categories":6095},[250],{"categories":6097},[76],{"categories":6099},[123],{"categories":6101},[],{"categories":6103},[76],{"categories":6105},[76],{"categories":6107},[76],{"categories":6109},[162],{"categories":6111},[76],{"categories":6113},[113],{"categories":6115},[],{"categories":6117},[76],{"categories":6119},[76],{"categories":6121},[76],{"categories":6123},[137],{"categories":6125},[622],{"categories":6127},[137],{"categories":6129},[217],{"categories":6131},[76],{"categories":6133},[76,123],{"categories":6135},[250,118],{"categories":6137},[137],{"categories":6139},[76],{"categories":6141},[76],{"categories":6143},[76],{"categories":6145},[76],{"categories":6147},[],{"categories":6149},[137],{"categories":6151},[123],{"categories":6153},[76],{"categories":6155},[76],{"categories":6157},[],{"categories":6159},[76],{"categories":6161},[137],{"categories":6163},[76],{"categories":6165},[137],{"categories":6167},[76],{"categories":6169},[],{"categories":6171},[123],{"categories":6173},[76],{"categories":6175},[118],{"categories":6177},[76],{"categories":6179},[162],{"categories":6181},[76],{"categories":6183},[],{"categories":6185},[76],{"categories":6187},[123],{"categories":6189},[76],{"categories":6191},[],{"categories":6193},[217],{"categories":6195},[76],{"categories":6197},[76],{"categories":6199},[123],{"categories":6201},[76],{"categories":6203},[76],{"categories":6205},[76],{"categories":6207},[113],{"categories":6209},[76],{"categories":6211},[123],{"categories":6213},[76],{"categories":6215},[],{"categories":6217},[76],{"categories":6219},[291],{"categories":6221},[250],{"categories":6223},[118],{"categories":6225},[118],{"categories":6227},[76],{"categories":6229},[113],{"categories":6231},[113],{"categories":6233},[76],{"categories":6235},[123],{"categories":6237},[76],{"categories":6239},[76],{"categories":6241},[76],{"categories":6243},[76],{"categories":6245},[137],{"categories":6247},[76],{"categories":6249},[113],{"categories":6251},[76],{"categories":6253},[76],{"categories":6255},[123],{"categories":6257},[76],{"categories":6259},[250],{"categories":6261},[76],{"categories":6263},[162],{"categories":6265},[76],{"categories":6267},[76],{"categories":6269},[123],{"categories":6271},[126],{"categories":6273},[76],{"categories":6275},[123],{"categories":6277},[76],{"categories":6279},[123],{"categories":6281},[],{"categories":6283},[137],{"categories":6285},[],{"categories":6287},[137],{"categories":6289},[123],{"categories":6291},[113],{"categories":6293},[76],{"categories":6295},[],{"categories":6297},[140],{"categories":6299},[291],{"categories":6301},[76],{"categories":6303},[137],{"categories":6305},[76],{"categories":6307},[],{"categories":6309},[162],{"categories":6311},[123],{"categories":6313},[137],{"categories":6315},[217],{"categories":6317},[118],{"categories":6319},[76],{"categories":6321},[76],{"categories":6323},[123],{"categories":6325},[137],{"categories":6327},[123],{"categories":6329},[162],{"categories":6331},[76],{"categories":6333},[126],{"categories":6335},[113],{"categories":6337},[126],{"categories":6339},[162],{"categories":6341},[76],{"categories":6343},[76],{"categories":6345},[137],{"categories":6347},[76],{"categories":6349},[217],{"categories":6351},[118],{"categories":6353},[76],{"categories":6355},[76],{"categories":6357},[76],{"categories":6359},[76],{"categories":6361},[76],{"categories":6363},[76],{"categories":6365},[123],{"categories":6367},[76],{"categories":6369},[76],{"categories":6371},[123],{"categories":6373},[76],{"categories":6375},[76],{"categories":6377},[113],{"categories":6379},[76],{"categories":6381},[123],{"categories":6383},[123],{"categories":6385},[217],{"categories":6387},[123],{"categories":6389},[76],{"categories":6391},[123],{"categories":6393},[76],{"categories":6395},[113],{"categories":6397},[123],{"categories":6399},[217],{"categories":6401},[],{"categories":6403},[76],{"categories":6405},[140],{"categories":6407},[480],{"categories":6409},[76],{"categories":6411},[123],{"categories":6413},[76],{"categories":6415},[76],{"categories":6417},[137],{"categories":6419},[76],{"categories":6421},[],{"categories":6423},[76],{"categories":6425},[123],{"categories":6427},[118],{"categories":6429},[76],{"categories":6431},[250],{"categories":6433},[217],{"categories":6435},[76],{"categories":6437},[137],{"categories":6439},[76],{"categories":6441},[162],{"categories":6443},[123],{"categories":6445},[76],{"categories":6447},[250],{"categories":6449},[123],{"categories":6451},[118],{"categories":6453},[118],{"categories":6455},[76],{"categories":6457},[76],{"categories":6459},[76],{"categories":6461},[76],{"categories":6463},[76],{"categories":6465},[76],{"categories":6467},[113],{"categories":6469},[76],{"categories":6471},[],{"categories":6473},[76],{"categories":6475},[76],{"categories":6477},[123],{"categories":6479},[76],{"categories":6481},[123],{"categories":6483},[76],{"categories":6485},[76],{"categories":6487},[76],{"categories":6489},[76],{"categories":6491},[76],{"categories":6493},[76],{"categories":6495},[137],{"categories":6497},[],{"categories":6499},[113],{"categories":6501},[76],{"categories":6503},[76],{"categories":6505},[123],{"categories":6507},[123],{"categories":6509},[],{"categories":6511},[137],{"categories":6513},[137],{"categories":6515},[76],{"categories":6517},[250],{"categories":6519},[118],{"categories":6521},[217],{"categories":6523},[76],{"categories":6525},[],{"categories":6527},[76],{"categories":6529},[123],{"categories":6531},[113],{"categories":6533},[76],{"categories":6535},[76],{"categories":6537},[137],{"categories":6539},[113],{"categories":6541},[76],{"categories":6543},[76],{"categories":6545},[162],{"categories":6547},[140],{"categories":6549},[76],{"categories":6551},[162],{"categories":6553},[76],{"categories":6555},[123],{"categories":6557},[76],{"categories":6559},[76],{"categories":6561},[],{"categories":6563},[162],{"categories":6565},[123],{"categories":6567},[217],{"categories":6569},[140],{"categories":6571},[76],{"categories":6573},[76],{"categories":6575},[76],{"categories":6577},[],{"categories":6579},[123],{"categories":6581},[123],{"categories":6583},[123],{"categories":6585},[3395],{"categories":6587},[162],{"categories":6589},[76],{"categories":6591},[137],{"categories":6593},[76],{"categories":6595},[76],{"categories":6597},[76],{"categories":6599},[76],{"categories":6601},[76],{"categories":6603},[123],{"categories":6605},[76],{"categories":6607},[118],{"categories":6609},[76],{"categories":6611},[113],{"categories":6613},[1928],{"categories":6615},[291],{"categories":6617},[113],{"categories":6619},[],{"categories":6621},[76],{"categories":6623},[],{"categories":6625},[76],{"categories":6627},[162],{"categories":6629},[123],{"categories":6631},[217],{"categories":6633},[76],{"categories":6635},[76],{"categories":6637},[76],{"categories":6639},[76],{"categories":6641},[76],{"categories":6643},[162],{"categories":6645},[],{"categories":6647},[123],{"categories":6649},[76],{"categories":6651},[123],{"categories":6653},[123],{"categories":6655},[],{"categories":6657},[76],{"categories":6659},[],{"categories":6661},[162],{"categories":6663},[113],{"categories":6665},[76],{"categories":6667},[217],{"categories":6669},[76],{"categories":6671},[123],{"categories":6673},[162],{"categories":6675},[76],{"categories":6677},[162],{"categories":6679},[],{"categories":6681},[162],{"categories":6683},[76],{"categories":6685},[113],{"categories":6687},[123],{"categories":6689},[480],{"categories":6691},[76],{"categories":6693},[123],{"categories":6695},[76],{"categories":6697},[],{"categories":6699},[137],{"categories":6701},[123],{"categories":6703},[126],{"categories":6705},[123],{"categories":6707},[76],{"categories":6709},[113],{"categories":6711},[76],{"categories":6713},[76],{"categories":6715},[],{"categories":6717},[],{"categories":6719},[],{"categories":6721},[217],{"categories":6723},[76],{"categories":6725},[123],{"categories":6727},[76],{"categories":6729},[76],{"categories":6731},[],{"categories":6733},[],{"categories":6735},[],{"categories":6737},[76],{"categories":6739},[123],{"categories":6741},[217],{"categories":6743},[76],{"categories":6745},[],{"categories":6747},[123],{"categories":6749},[76],{"categories":6751},[76],{"categories":6753},[113],{"categories":6755},[],{"categories":6757},[],{"categories":6759},[76],{"categories":6761},[76],{"categories":6763},[123],{"categories":6765},[217],{"categories":6767},[76],{"categories":6769},[162],{"categories":6771},[],{"categories":6773},[76],{"categories":6775},[76],{"categories":6777},[250],{"categories":6779},[162],{"categories":6781},[250],{"categories":6783},[137],{"categories":6785},[140],{"categories":6787},[76],{"categories":6789},[76],{"categories":6791},[],{"categories":6793},[],{"categories":6795},[123],{"categories":6797},[],{"categories":6799},[76],{"categories":6801},[480],{"categories":6803},[76],{"categories":6805},[76],{"categories":6807},[76],{"categories":6809},[76],{"categories":6811},[],{"categories":6813},[123],{"categories":6815},[76],{"categories":6817},[76],{"categories":6819},[],{"categories":6821},[123],{"categories":6823},[123],{"categories":6825},[76],{"categories":6827},[162],{"categories":6829},[76],{"categories":6831},[250],{"categories":6833},[76],{"categories":6835},[123],{"categories":6837},[118],{"categories":6839},[126],{"categories":6841},[76],{"categories":6843},[76],{"categories":6845},[123],{"categories":6847},[140],{"categories":6849},[123],{"categories":6851},[123],{"categories":6853},[],{"categories":6855},[76],{"categories":6857},[123],{"categories":6859},[],{"categories":6861},[76],{"categories":6863},[],{"categories":6865},[162],{"categories":6867},[118],{"categories":6869},[],{"categories":6871},[76],{"categories":6873},[76],{"categories":6875},[76],{"categories":6877},[],{"categories":6879},[123],{"categories":6881},[217],{"categories":6883},[113],{"categories":6885},[76],{"categories":6887},[],{"categories":6889},[118],{"categories":6891},[250],{"categories":6893},[76],{"categories":6895},[137],{"categories":6897},[113],{"categories":6899},[140],{"categories":6901},[118],{"categories":6903},[137],{"categories":6905},[123],{"categories":6907},[137],{"categories":6909},[],{"categories":6911},[76],{"categories":6913},[126],{"categories":6915},[126],{"categories":6917},[76],{"categories":6919},[],{"categories":6921},[123],{"categories":6923},[123],{"categories":6925},[113],{"categories":6927},[217],{"categories":6929},[76],{"categories":6931},[113],{"categories":6933},[123],{"categories":6935},[291],{"categories":6937},[76],{"categories":6939},[76],{"categories":6941},[76],{"categories":6943},[76],{"categories":6945},[76],{"categories":6947},[113],{"categories":6949},[76],{"categories":6951},[137],{"categories":6953},[140],{"categories":6955},[123],{"categories":6957},[],{"categories":6959},[76],{"categories":6961},[76],{"categories":6963},[76],{"categories":6965},[137],{"categories":6967},[123],{"categories":6969},[162],{"categories":6971},[137],{"categories":6973},[76],{"categories":6975},[126],{"categories":6977},[],{"categories":6979},[217],{"categories":6981},[137],{"categories":6983},[162],{"categories":6985},[76],{"categories":6987},[76],{"categories":6989},[113],{"categories":6991},[123],{"categories":6993},[76],{"categories":6995},[76],{"categories":6997},[123],{"categories":6999},[126],{"categories":7001},[76],{"categories":7003},[123],{"categories":7005},[76],{"categories":7007},[118],{"categories":7009},[76],{"categories":7011},[123],{"categories":7013},[123,291],{"categories":7015},[76],{"categories":7017},[76],{"categories":7019},[123],{"categories":7021},[137],{"categories":7023},[76],{"categories":7025},[76],{"categories":7027},[140],{"categories":7029},[123],{"categories":7031},[250],{"categories":7033},[123],{"categories":7035},[118],{"categories":7037},[],{"categories":7039},[123],{"categories":7041},[76],{"categories":7043},[118],{"categories":7045},[],{"categories":7047},[],{"categories":7049},[76],{"categories":7051},[137],{"categories":7053},[76],{"categories":7055},[76],{"categories":7057},[123],{"categories":7059},[76],{"categories":7061},[140],{"categories":7063},[250],{"categories":7065},[76],{"categories":7067},[76],{"categories":7069},[76],{"categories":7071},[76],{"categories":7073},[123],{"categories":7075},[],{"categories":7077},[123],{"categories":7079},[162],{"categories":7081},[76],{"categories":7083},[123],{"categories":7085},[123],{"categories":7087},[76],{"categories":7089},[],{"categories":7091},[162],{"categories":7093},[137],{"categories":7095},[3395],{"categories":7097},[113],{"categories":7099},[137],{"categories":7101},[76],{"categories":7103},[123],{"categories":7105},[76],{"categories":7107},[76],{"categories":7109},[250],{"categories":7111},[137],{"categories":7113},[140],{"categories":7115},[],{"categories":7117},[162],{"categories":7119},[76],{"categories":7121},[76],{"categories":7123},[],{"categories":7125},[123],{"categories":7127},[76],{"categories":7129},[76],{"categories":7131},[76],{"categories":7133},[76],{"categories":7135},[123],{"categories":7137},[76],{"categories":7139},[76],{"categories":7141},[76],{"categories":7143},[76],{"categories":7145},[126],{"categories":7147},[76],{"categories":7149},[123],{"categories":7151},[76],{"categories":7153},[76],{"categories":7155},[76],{"categories":7157},[76],{"categories":7159},[76],{"categories":7161},[76],{"categories":7163},[76],{"categories":7165},[118],{"categories":7167},[],{"categories":7169},[126],{"categories":7171},[76],{"categories":7173},[162],{"categories":7175},[123],{"categories":7177},[76],{"categories":7179},[137],{"categories":7181},[],{"categories":7183},[137],{"categories":7185},[137],{"categories":7187},[123],{"categories":7189},[137],{"categories":7191},[76],{"categories":7193},[76],{"categories":7195},[76],{"categories":7197},[123],{"categories":7199},[137],{"categories":7201},[76],{"categories":7203},[76],{"categories":7205},[76],{"categories":7207},[123],{"categories":7209},[162],{"categories":7211},[76],{"categories":7213},[76],{"categories":7215},[76],{"categories":7217},[118],{"categories":7219},[76],{"categories":7221},[123],{"categories":7223},[217],{"categories":7225},[],{"categories":7227},[76],{"categories":7229},[76],{"categories":7231},[140],{"categories":7233},[76],{"categories":7235},[123],{"categories":7237},[76],{"categories":7239},[76],{"categories":7241},[],{"categories":7243},[76],{"categories":7245},[76],{"categories":7247},[162],{"categories":7249},[76],{"categories":7251},[76],{"categories":7253},[123],{"categories":7255},[250],{"categories":7257},[],{"categories":7259},[],{"categories":7261},[137],{"categories":7263},[76],{"categories":7265},[76],{"categories":7267},[162],{"categories":7269},[76],{"categories":7271},[137],{"categories":7273},[162],{"categories":7275},[76],{"categories":7277},[76],{"categories":7279},[250],{"categories":7281},[140],{"categories":7283},[76],{"categories":7285},[76],{"categories":7287},[113],{"categories":7289},[123],{"categories":7291},[76],{"categories":7293},[76],{"categories":7295},[123],{"categories":7297},[118],{"categories":7299},[123],{"categories":7301},[137],{"categories":7303},[76],{"categories":7305},[118],{"categories":7307},[],{"categories":7309},[76],{"categories":7311},[140],{"categories":7313},[76],{"categories":7315},[76],{"categories":7317},[],{"categories":7319},[162],{"categories":7321},[76],{"categories":7323},[123],{"categories":7325},[140],{"categories":7327},[76],{"categories":7329},[137],{"categories":7331},[137],{"categories":7333},[137],{"categories":7335},[76],{"categories":7337},[123],{"categories":7339},[123],{"categories":7341},[76],{"categories":7343},[123],{"categories":7345},[76],{"categories":7347},[76],{"categories":7349},[217],{"categories":7351},[140],{"categories":7353},[140],{"categories":7355},[],{"categories":7357},[162],{"categories":7359},[76],{"categories":7361},[76],{"categories":7363},[137],{"categories":7365},[],{"categories":7367},[162],{"categories":7369},[162],{"categories":7371},[162],{"categories":7373},[],{"categories":7375},[123],{"categories":7377},[76],{"categories":7379},[],{"categories":7381},[113],{"categories":7383},[118],{"categories":7385},[],{"categories":7387},[76],{"categories":7389},[76],{"categories":7391},[],{"categories":7393},[137],{"categories":7395},[],{"categories":7397},[],{"categories":7399},[],{"categories":7401},[],{"categories":7403},[76],{"categories":7405},[162],{"categories":7407},[],{"categories":7409},[],{"categories":7411},[76],{"categories":7413},[76],{"categories":7415},[76],{"categories":7417},[140],{"categories":7419},[76],{"categories":7421},[140],{"categories":7423},[],{"categories":7425},[140],{"categories":7427},[140],{"categories":7429},[291],{"categories":7431},[123],{"categories":7433},[137],{"categories":7435},[],{"categories":7437},[],{"categories":7439},[140],{"categories":7441},[137],{"categories":7443},[137],{"categories":7445},[137],{"categories":7447},[],{"categories":7449},[113],{"categories":7451},[137],{"categories":7453},[137],{"categories":7455},[113],{"categories":7457},[137],{"categories":7459},[118],{"categories":7461},[137],{"categories":7463},[137],{"categories":7465},[137],{"categories":7467},[140],{"categories":7469},[162],{"categories":7471},[162],{"categories":7473},[76],{"categories":7475},[137],{"categories":7477},[140],{"categories":7479},[291],{"categories":7481},[140],{"categories":7483},[140],{"categories":7485},[140],{"categories":7487},[],{"categories":7489},[118],{"categories":7491},[],{"categories":7493},[291],{"categories":7495},[137],{"categories":7497},[137],{"categories":7499},[137],{"categories":7501},[123],{"categories":7503},[162,118],{"categories":7505},[140],{"categories":7507},[],{"categories":7509},[],{"categories":7511},[140],{"categories":7513},[],{"categories":7515},[140],{"categories":7517},[162],{"categories":7519},[123],{"categories":7521},[],{"categories":7523},[137],{"categories":7525},[76],{"categories":7527},[217],{"categories":7529},[],{"categories":7531},[76],{"categories":7533},[],{"categories":7535},[162],{"categories":7537},[113],{"categories":7539},[140],{"categories":7541},[],{"categories":7543},[137],{"categories":7545},[162],[7547,7609,7682,7757],{"id":7548,"title":7549,"ai":7550,"body":7555,"categories":7583,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":7584,"navigation":92,"path":7598,"published_at":7599,"question":77,"scraped_at":7599,"seo":7600,"sitemap":7601,"source_id":7602,"source_name":98,"source_type":99,"source_url":7603,"stem":7604,"tags":7605,"thumbnail_url":77,"tldr":7606,"tweet":77,"unknown_tags":7607,"__hash__":7608},"summaries\u002Fsummaries\u002F84f79990de66e4cc-safe-error-correction-for-llms-via-frozen-base-adj-summary.md","Safe Error Correction for LLMs via Frozen-Base Adjustment",{"provider":7,"model":8,"input_tokens":7551,"output_tokens":7552,"processing_time_ms":7553,"cost_usd":7554},4110,527,3238,0.001818,{"type":14,"value":7556,"toc":7578},[7557,7561,7564,7568,7571,7575],[17,7558,7560],{"id":7559},"targeted-error-correction-without-catastrophic-forgetting","Targeted Error Correction Without Catastrophic Forgetting",[22,7562,7563],{},"The paper addresses a fundamental challenge in LLM deployment: how to fix specific model errors (such as hallucinations or factual inaccuracies) without triggering 'catastrophic forgetting,' where the model loses its general knowledge or reasoning capabilities during fine-tuning. The authors propose a 'Frozen-Base Adjustment' approach, which allows for surgical error correction by isolating the update process to specific components while keeping the core model weights static.",[17,7565,7567],{"id":7566},"methodology-and-capability-preservation","Methodology and Capability Preservation",[22,7569,7570],{},"Unlike traditional full-parameter fine-tuning, which often requires massive datasets and risks altering the model's underlying distribution, this method focuses on preserving the model's original performance profile. By freezing the base model, the authors ensure that the 'intelligence' and breadth of knowledge acquired during pre-training remain intact. The adjustment mechanism acts as a corrective layer or adapter, specifically trained to override incorrect outputs while leaving the rest of the model's logic untouched. This approach is particularly valuable for production environments where maintaining consistent behavior across diverse tasks is critical.",[17,7572,7574],{"id":7573},"practical-implementation","Practical Implementation",[22,7576,7577],{},"The researchers provide concrete artifacts to support this technique, including open-source code, model weights, and evaluation scripts. By utilizing these tools, developers can implement targeted patches to their models, effectively creating a feedback loop where specific errors identified in production can be systematically addressed. This workflow reduces the need for expensive retraining cycles and provides a more predictable path for model maintenance and safety alignment.",{"title":69,"searchDepth":70,"depth":70,"links":7579},[7580,7581,7582],{"id":7559,"depth":70,"text":7560},{"id":7566,"depth":70,"text":7567},{"id":7573,"depth":70,"text":7574},[76],{"content_references":7585,"triage":7594},[7586,7591],{"type":7587,"title":7588,"url":7589,"context":7590},"other","Prajna: Safe Error Correction for Language Models","https:\u002F\u002Fgithub.com\u002Feulogik\u002Fprajna","recommended",{"type":7587,"title":7592,"url":7593,"context":7590},"Prajna-CRNv2 Model Weights","https:\u002F\u002Fhuggingface.co\u002Feulogik\u002FPrajna-CRNv2",{"relevance":7595,"novelty":88,"quality":88,"actionability":88,"composite":7596,"reasoning":7597},5,4.35,"Category: AI & LLMs. The article presents a novel method for error correction in LLMs that directly addresses a common pain point for developers deploying AI models, specifically the challenge of maintaining model integrity while fixing errors. It includes practical implementation details such as open-source code and evaluation scripts, making it actionable for the audience.","\u002Fsummaries\u002F84f79990de66e4cc-safe-error-correction-for-llms-via-frozen-base-adj-summary","2026-09-17 03:12:16",{"title":7549,"description":69},{"loc":7598},"84f79990de66e4cc","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.16145","summaries\u002F84f79990de66e4cc-safe-error-correction-for-llms-via-frozen-base-adj-summary",[102,104,103],"The paper introduces a method to correct specific model errors by adjusting parameters while keeping the base model frozen, ensuring targeted fixes without degrading general capabilities.",[],"mpChJPoYYm__OUqcCFvV23S4Rs0tU37Dbu8182Q_ZGE",{"id":7610,"title":7611,"ai":7612,"body":7617,"categories":7661,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":7662,"navigation":92,"path":7672,"published_at":7673,"question":77,"scraped_at":7673,"seo":7674,"sitemap":7675,"source_id":7676,"source_name":98,"source_type":99,"source_url":7667,"stem":7677,"tags":7678,"thumbnail_url":77,"tldr":7679,"tweet":77,"unknown_tags":7680,"__hash__":7681},"summaries\u002Fsummaries\u002F9da9f37be06b530a-kuairp-technical-report-on-role-playing-model-opti-summary.md","KuaiRP: Technical Report on Role-Playing Model Optimization",{"provider":7,"model":8,"input_tokens":7613,"output_tokens":7614,"processing_time_ms":7615,"cost_usd":7616},4016,445,2626,0.0016715,{"type":14,"value":7618,"toc":7657},[7619,7623,7626,7630,7633,7654],[17,7620,7622],{"id":7621},"enhancing-role-playing-capabilities-in-llms","Enhancing Role-Playing Capabilities in LLMs",[22,7624,7625],{},"The KuaiRP technical report outlines a systematic approach to fine-tuning Large Language Models specifically for role-playing (RP) tasks. The core challenge addressed is the tendency of base models to drift from character personas or revert to generic, helpful assistant behaviors during long-form narrative interactions. By curating specialized datasets that emphasize character consistency, emotional nuance, and narrative adherence, the authors demonstrate how to steer models toward more immersive and stable role-play performance.",[17,7627,7629],{"id":7628},"methodological-framework","Methodological Framework",[22,7631,7632],{},"The report details a multi-stage training pipeline that prioritizes:",[7634,7635,7636,7642,7648],"ul",{},[36,7637,7638,7641],{},[39,7639,7640],{},"Character Fidelity:"," Ensuring the model maintains a consistent voice, background, and set of motivations throughout extended dialogues.",[36,7643,7644,7647],{},[39,7645,7646],{},"Narrative Coherence:"," Improving the model's ability to track plot points and context over long interaction windows, reducing the likelihood of contradictory responses.",[36,7649,7650,7653],{},[39,7651,7652],{},"Instruction Following in Character:"," Balancing the need for the model to remain in-character while still adhering to user-defined constraints or format requirements.",[22,7655,7656],{},"The researchers emphasize that standard instruction-tuning datasets are often insufficient for RP tasks because they lack the necessary creative depth and stylistic variance required for high-quality character simulation. The KuaiRP approach involves synthetic data generation techniques and rigorous filtering to ensure the training corpus reflects the desired creative output quality.",{"title":69,"searchDepth":70,"depth":70,"links":7658},[7659,7660],{"id":7621,"depth":70,"text":7622},{"id":7628,"depth":70,"text":7629},[76],{"content_references":7663,"triage":7669},[7664],{"type":83,"title":7665,"publisher":7666,"url":7667,"context":7668},"KuaiRP Series Role-playing Models Technical Report","arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.11127","cited",{"relevance":89,"novelty":88,"quality":88,"actionability":70,"composite":7670,"reasoning":7671},3.25,"Category: AI & LLMs. The article maps to the AI & LLMs category by discussing methodologies for optimizing LLMs for role-playing tasks, which is relevant for developers looking to enhance AI features. However, while it presents novel insights into training techniques, it lacks specific actionable steps that the audience can directly implement.","\u002Fsummaries\u002F9da9f37be06b530a-kuairp-technical-report-on-role-playing-model-opti-summary","2026-09-13 03:09:05",{"title":7611,"description":69},{"loc":7672},"9da9f37be06b530a","summaries\u002F9da9f37be06b530a-kuairp-technical-report-on-role-playing-model-opti-summary",[102,103,104],"The KuaiRP technical report details specialized training methodologies for enhancing LLM performance in role-playing scenarios, focusing on character consistency and narrative depth.",[],"wBe2hkwbqtcO2IMoQkzOpilZJgVZX6bR8oFYjK_YRh8",{"id":7683,"title":7684,"ai":7685,"body":7690,"categories":7738,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":7739,"navigation":92,"path":7747,"published_at":7748,"question":77,"scraped_at":7748,"seo":7749,"sitemap":7750,"source_id":7751,"source_name":98,"source_type":99,"source_url":7743,"stem":7752,"tags":7753,"thumbnail_url":77,"tldr":7754,"tweet":77,"unknown_tags":7755,"__hash__":7756},"summaries\u002Fsummaries\u002Fdd12fd1e59c3dcb8-rethinking-aleatoric-uncertainty-in-llms-via-inter-summary.md","Rethinking Aleatoric Uncertainty in LLMs via Interpretations",{"provider":7,"model":8,"input_tokens":7686,"output_tokens":7687,"processing_time_ms":7688,"cost_usd":7689},4053,617,3684,0.00193875,{"type":14,"value":7691,"toc":7733},[7692,7696,7699,7703,7706,7710,7713],[17,7693,7695],{"id":7694},"moving-beyond-answer-based-uncertainty","Moving Beyond Answer-Based Uncertainty",[22,7697,7698],{},"Traditional approaches to measuring aleatoric uncertainty in Large Language Models (LLMs) often treat ambiguity as a simple lack of consensus among possible output tokens. This paper challenges that view, arguing that when a prompt is inherently ambiguous, the model is not merely 'guessing' between random tokens. Instead, it is navigating multiple, internally consistent interpretations of the input. By focusing solely on the variance of final answers, current methods fail to capture the underlying semantic structure of the ambiguity.",[17,7700,7702],{"id":7701},"the-interpretation-based-framework","The Interpretation-Based Framework",[22,7704,7705],{},"The authors propose a new paradigm for uncertainty estimation that shifts the focus from the final generated answer to the 'interpretations' that lead to those answers. The core insight is that ambiguity is often resolved at the latent or reasoning stage before the final output is produced. By decomposing the generation process into distinct interpretative paths, developers can better quantify uncertainty. This approach treats the model's internal state as a distribution over potential world-views or task interpretations, rather than a distribution over a flat space of possible tokens. This method provides a more robust signal for when a model is genuinely confused versus when it is simply choosing between equally valid, distinct ways of framing a problem.",[17,7707,7709],{"id":7708},"practical-implications-for-ai-engineering","Practical Implications for AI Engineering",[22,7711,7712],{},"This shift has significant consequences for how we build reliable AI systems. If we treat uncertainty as a function of multiple valid interpretations, we can move away from simple confidence scores (which are often poorly calibrated) toward 'interpretation-aware' systems. This allows for:",[7634,7714,7715,7721,7727],{},[36,7716,7717,7720],{},[39,7718,7719],{},"Better User Feedback:"," Instead of saying 'I am 60% sure,' a model can present the user with the different interpretations it has identified, allowing the user to clarify their intent.",[36,7722,7723,7726],{},[39,7724,7725],{},"Improved Calibration:"," By accounting for the semantic diversity of interpretations, uncertainty metrics become more representative of the model's actual reasoning process.",[36,7728,7729,7732],{},[39,7730,7731],{},"Reduced Hallucination:"," By identifying when a prompt supports multiple, conflicting interpretations, systems can trigger a 'clarification' workflow rather than forcing a single, potentially incorrect, answer.",{"title":69,"searchDepth":70,"depth":70,"links":7734},[7735,7736,7737],{"id":7694,"depth":70,"text":7695},{"id":7701,"depth":70,"text":7702},{"id":7708,"depth":70,"text":7709},[76],{"content_references":7740,"triage":7744},[7741],{"type":83,"title":7742,"url":7743,"context":7668},"From Answers to Interpretations: Rethinking Ambiguity-Induced Aleatoric Uncertainty Estimation in LLMs","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.04543",{"relevance":7595,"novelty":88,"quality":88,"actionability":89,"composite":7745,"reasoning":7746},4.15,"Category: AI & LLMs. The article presents a novel framework for understanding uncertainty in LLMs, addressing a specific pain point for AI developers regarding model reliability. It offers practical implications for AI engineering, such as improved user feedback mechanisms, though it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002Fdd12fd1e59c3dcb8-rethinking-aleatoric-uncertainty-in-llms-via-inter-summary","2026-09-08 03:10:00",{"title":7684,"description":69},{"loc":7747},"dd12fd1e59c3dcb8","summaries\u002Fdd12fd1e59c3dcb8-rethinking-aleatoric-uncertainty-in-llms-via-inter-summary",[102,103,104],"The paper argues that LLM uncertainty in ambiguous tasks stems from multiple valid interpretations rather than simple randomness, proposing a shift from answer-based to interpretation-based uncertainty estimation.",[],"iJG5JXijGoB3gKoCd0dUvGliSa-XsYwYRU9U9ohE-s0",{"id":7758,"title":7759,"ai":7760,"body":7765,"categories":7814,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":7815,"navigation":92,"path":7822,"published_at":7823,"question":77,"scraped_at":7823,"seo":7824,"sitemap":7825,"source_id":7826,"source_name":98,"source_type":99,"source_url":7819,"stem":7827,"tags":7828,"thumbnail_url":77,"tldr":7829,"tweet":77,"unknown_tags":7830,"__hash__":7831},"summaries\u002Fsummaries\u002F6a960783061e5b6c-improving-llm-faithfulness-via-test-time-activatio-summary.md","Improving LLM Faithfulness via Test-Time Activation Removal",{"provider":7,"model":8,"input_tokens":7761,"output_tokens":7762,"processing_time_ms":7763,"cost_usd":7764},4024,659,3660,0.0019945,{"type":14,"value":7766,"toc":7809},[7767,7771,7774,7777,7781,7784,7804,7806],[17,7768,7770],{"id":7769},"the-mechanism-of-activation-removal","The Mechanism of Activation Removal",[22,7772,7773],{},"The core insight of this research is that LLM unfaithfulness—where a model generates a correct answer based on incorrect or hallucinated reasoning—can be mitigated by intervening directly on the model's internal states during inference. Instead of attempting to fix the model through expensive fine-tuning or prompt engineering, the authors propose a test-time intervention that identifies specific internal activations contributing to unfaithful output and removes them.",[22,7775,7776],{},"By isolating the latent representations that correlate with \"unfaithful\" reasoning patterns, the system can perform a surgical intervention. When the model begins to generate a response, the intervention mechanism monitors the activation flow. If it detects patterns associated with internal states that lead to hallucinations or logical disconnects, it suppresses those specific activations. This allows the model to re-route its generation process toward more faithful, grounded reasoning paths without altering the underlying model weights.",[17,7778,7780],{"id":7779},"advantages-over-traditional-alignment","Advantages Over Traditional Alignment",[22,7782,7783],{},"This removal-based approach offers several distinct advantages over standard alignment techniques like RLHF (Reinforcement Learning from Human Feedback) or SFT (Supervised Fine-Tuning):",[7634,7785,7786,7792,7798],{},[36,7787,7788,7791],{},[39,7789,7790],{},"No Retraining Required:"," Because the intervention happens at test-time, there is no need to update the model parameters. This makes the method highly portable across different model architectures and sizes.",[36,7793,7794,7797],{},[39,7795,7796],{},"Precision:"," Unlike prompt-based methods which are often brittle and sensitive to minor input changes, activation removal targets the causal mechanism of the reasoning process itself.",[36,7799,7800,7803],{},[39,7801,7802],{},"Dynamic Correction:"," The method acts as a real-time monitor. It does not force the model to be faithful in all scenarios, but rather intervenes only when the internal state indicates that the model is drifting into unfaithful reasoning territory.",[17,7805,7709],{"id":7708},[22,7807,7808],{},"The research suggests that faithfulness is not just a property of the model's training data, but a dynamic state that can be managed during inference. For developers building AI-powered products, this implies a shift in how we handle hallucinations: rather than trying to \"train out\" errors, we can build \"guardrail\" layers that operate on the model's internal activations. This approach is particularly valuable for high-stakes applications where verifying the reasoning process is as important as the final output accuracy.",{"title":69,"searchDepth":70,"depth":70,"links":7810},[7811,7812,7813],{"id":7769,"depth":70,"text":7770},{"id":7779,"depth":70,"text":7780},{"id":7708,"depth":70,"text":7709},[76],{"content_references":7816,"triage":7820},[7817],{"type":83,"title":7818,"url":7819,"context":86},"A Removal Based Approach to Improve LLM Faithfulness at Test-Time","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.04343",{"relevance":89,"novelty":88,"quality":88,"actionability":70,"composite":7670,"reasoning":7821},"Category: AI & LLMs. The article discusses a novel method for improving LLM faithfulness through test-time activation removal, which addresses a specific challenge in AI engineering. However, while it presents interesting insights, it lacks detailed practical applications that the audience can immediately act upon.","\u002Fsummaries\u002F6a960783061e5b6c-improving-llm-faithfulness-via-test-time-activatio-summary","2026-09-08 03:09:59",{"title":7759,"description":69},{"loc":7822},"6a960783061e5b6c","summaries\u002F6a960783061e5b6c-improving-llm-faithfulness-via-test-time-activatio-summary",[102,104,103],"The paper introduces a test-time intervention method that improves LLM faithfulness by identifying and removing internal activations associated with unfaithful reasoning, rather than relying on retraining or fine-tuning.",[],"Wa5Pwh2stUu7VsDLpexDEX8Qp6OaazqmGtkW82yV7BI"]