[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-5d680ab515ca1c99-optimizing-business-processes-with-control-flow-un-summary":3,"summaries-facets-categories":92,"summary-related-5d680ab515ca1c99-optimizing-business-processes-with-control-flow-un-summary":7436},{"id":4,"title":5,"ai":6,"body":13,"categories":59,"created_at":61,"date_modified":61,"description":53,"extension":62,"faq":61,"featured":63,"kicker_label":61,"meta":64,"navigation":76,"path":77,"published_at":78,"question":61,"scraped_at":78,"seo":79,"sitemap":80,"source_id":81,"source_name":82,"source_type":83,"source_url":69,"stem":84,"tags":85,"thumbnail_url":61,"tldr":89,"tweet":61,"unknown_tags":90,"__hash__":91},"summaries\u002Fsummaries\u002F5d680ab515ca1c99-optimizing-business-processes-with-control-flow-un-summary.md","Optimizing Business Processes with Control-Flow Uncertainty",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4040,467,2645,0.0017105,{"type":14,"value":15,"toc":52},"minimark",[16,21,25,29,32,45,49],[17,18,20],"h2",{"id":19},"addressing-stochasticity-in-business-process-management","Addressing Stochasticity in Business Process Management",[22,23,24],"p",{},"Traditional business process scheduling often assumes a deterministic control flow, where the sequence of tasks is known in advance. This research addresses the reality of 'control-flow uncertainty,' where branching paths and conditional logic make the exact sequence of operations probabilistic. The authors propose a mathematical model that integrates stochastic programming with process mining data to optimize resource allocation under these conditions.",[17,26,28],{"id":27},"mathematical-framework-for-scheduling","Mathematical Framework for Scheduling",[22,30,31],{},"The core contribution is a formulation that treats process execution as a stochastic optimization problem. By modeling the probability of different control-flow paths, the framework allows organizations to:",[33,34,35,39,42],"ul",{},[36,37,38],"li",{},"Minimize expected completion time (makespan) while accounting for path variability.",[36,40,41],{},"Optimize resource utilization by predicting the likelihood of task activation across different branches.",[36,43,44],{},"Apply mixed-integer linear programming (MILP) techniques to solve for optimal scheduling policies that remain robust even when specific process branches are triggered.",[17,46,48],{"id":47},"practical-implications-for-process-automation","Practical Implications for Process Automation",[22,50,51],{},"This approach moves beyond static scheduling by providing a dynamic way to handle uncertainty. Instead of planning for a single 'happy path,' the model generates schedules that account for the statistical distribution of process variants. This is particularly valuable for complex enterprise workflows where resource bottlenecks often occur at conditional junctions. By quantifying the impact of control-flow uncertainty, builders can design more resilient automated pipelines that adapt to real-world process variance rather than failing when execution deviates from the ideal path.",{"title":53,"searchDepth":54,"depth":54,"links":55},"",2,[56,57,58],{"id":19,"depth":54,"text":20},{"id":27,"depth":54,"text":28},{"id":47,"depth":54,"text":48},[60],"Data Science & Visualization",null,"md",false,{"content_references":65,"triage":71},[66],{"type":67,"title":68,"url":69,"context":70},"paper","Planning and Scheduling Business Processes under Control-Flow Uncertainty","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.05578","cited",{"relevance":72,"novelty":73,"quality":73,"actionability":73,"composite":74,"reasoning":75},5,4,4.35,"Category: Business & SaaS. The article presents a mathematical framework for optimizing business processes under uncertainty, which directly addresses the pain point of managing complex workflows in product development. It offers actionable insights on using stochastic optimization to improve resource allocation and scheduling, making it highly relevant for product builders.",true,"\u002Fsummaries\u002F5d680ab515ca1c99-optimizing-business-processes-with-control-flow-un-summary","2026-09-11 03:12:24",{"title":5,"description":53},{"loc":77},"5d680ab515ca1c99","arXiv cs.AI","article","summaries\u002F5d680ab515ca1c99-optimizing-business-processes-with-control-flow-un-summary",[86,87,88],"ai-tools","data-science","research","This paper introduces a mathematical framework for scheduling business processes where the execution path is uncertain, using stochastic optimization to balance resource allocation and process completion time.",[],"pVEvJPDzOYGPLOu9IMVwamlK1IZiVTN7Kq5cjaaGchM",[93,96,99,101,104,106,109,112,114,116,118,120,123,125,127,129,131,133,136,138,140,142,144,147,149,151,153,155,157,159,161,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,193,195,197,199,202,204,206,208,210,212,214,216,218,220,222,224,226,228,230,233,235,237,239,241,243,245,247,249,251,253,255,257,259,261,263,265,267,269,271,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,380,382,384,386,388,390,392,394,396,398,400,403,405,407,409,411,413,415,417,419,421,423,425,427,429,431,433,436,438,440,442,444,446,448,450,452,454,456,458,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,530,532,534,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,576,578,580,582,584,586,588,590,592,594,596,598,600,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,902,904,906,908,910,913,915,917,919,921,923,925,927,929,931,933,935,937,939,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932,6934,6936,6938,6940,6942,6944,6946,6948,6950,6952,6954,6956,6958,6960,6962,6964,6966,6968,6970,6972,6974,6976,6978,6980,6982,6984,6986,6988,6990,6992,6994,6996,6998,7000,7002,7004,7006,7008,7010,7012,7014,7016,7018,7020,7022,7024,7026,7028,7030,7032,7034,7036,7038,7040,7042,7044,7046,7048,7050,7052,7054,7056,7058,7060,7062,7064,7066,7068,7070,7072,7074,7076,7078,7080,7082,7084,7086,7088,7090,7092,7094,7096,7098,7100,7102,7104,7106,7108,7110,7112,7114,7116,7118,7120,7122,7124,7126,7128,7130,7132,7134,7136,7138,7140,7142,7144,7146,7148,7150,7152,7154,7156,7158,7160,7162,7164,7166,7168,7170,7172,7174,7176,7178,7180,7182,7184,7186,7188,7190,7192,7194,7196,7198,7200,7202,7204,7206,7208,7210,7212,7214,7216,7218,7220,7222,7224,7226,7228,7230,7232,7234,7236,7238,7240,7242,7244,7246,7248,7250,7252,7254,7256,7258,7260,7262,7264,7266,7268,7270,7272,7274,7276,7278,7280,7282,7284,7286,7288,7290,7292,7294,7296,7298,7300,7302,7304,7306,7308,7310,7312,7314,7316,7318,7320,7322,7324,7326,7328,7330,7332,7334,7336,7338,7340,7342,7344,7346,7348,7350,7352,7354,7356,7358,7360,7362,7364,7366,7368,7370,7372,7374,7376,7378,7380,7382,7384,7386,7388,7390,7392,7394,7396,7398,7400,7402,7404,7406,7408,7410,7412,7414,7416,7418,7420,7422,7424,7426,7428,7430,7432,7434],{"categories":94},[95],"AI & LLMs",{"categories":97},[98],"Developer Productivity",{"categories":100},[95],{"categories":102},[103],"Business & SaaS",{"categories":105},[95],{"categories":107},[108],"AI Automation",{"categories":110},[111],"Product Strategy",{"categories":113},[108],{"categories":115},[95],{"categories":117},[98],{"categories":119},[108],{"categories":121},[122],"Software Engineering",{"categories":124},[60],{"categories":126},[95],{"categories":128},[103],{"categories":130},[],{"categories":132},[95],{"categories":134},[135],"Inference & Serving",{"categories":137},[95],{"categories":139},[95],{"categories":141},[108],{"categories":143},[],{"categories":145},[146],"AI News & Trends",{"categories":148},[60],{"categories":150},[108],{"categories":152},[95],{"categories":154},[95],{"categories":156},[95],{"categories":158},[103],{"categories":160},[98],{"categories":162},[95],{"categories":164},[108],{"categories":166},[146],{"categories":168},[95],{"categories":170},[108],{"categories":172},[108],{"categories":174},[95],{"categories":176},[95],{"categories":178},[108],{"categories":180},[95],{"categories":182},[95],{"categories":184},[95],{"categories":186},[103],{"categories":188},[108],{"categories":190},[146],{"categories":192},[95],{"categories":194},[95],{"categories":196},[95],{"categories":198},[],{"categories":200},[201],"Design & Frontend",{"categories":203},[95],{"categories":205},[60],{"categories":207},[146],{"categories":209},[95],{"categories":211},[95],{"categories":213},[95],{"categories":215},[],{"categories":217},[95],{"categories":219},[95],{"categories":221},[108],{"categories":223},[122],{"categories":225},[95],{"categories":227},[108],{"categories":229},[95],{"categories":231},[232],"Marketing & Growth",{"categories":234},[201],{"categories":236},[95],{"categories":238},[108],{"categories":240},[95],{"categories":242},[95],{"categories":244},[122],{"categories":246},[95],{"categories":248},[],{"categories":250},[],{"categories":252},[201],{"categories":254},[95],{"categories":256},[108],{"categories":258},[98],{"categories":260},[122],{"categories":262},[108],{"categories":264},[201],{"categories":266},[111],{"categories":268},[95],{"categories":270},[122],{"categories":272},[273],"DevOps & Cloud",{"categories":275},[108],{"categories":277},[111],{"categories":279},[146],{"categories":281},[95],{"categories":283},[],{"categories":285},[95],{"categories":287},[95],{"categories":289},[95],{"categories":291},[],{"categories":293},[108],{"categories":295},[122],{"categories":297},[],{"categories":299},[122],{"categories":301},[108],{"categories":303},[95],{"categories":305},[201],{"categories":307},[308],"Governance & Standards",{"categories":310},[103],{"categories":312},[],{"categories":314},[95],{"categories":316},[],{"categories":318},[95],{"categories":320},[95],{"categories":322},[108],{"categories":324},[108],{"categories":326},[95],{"categories":328},[95],{"categories":330},[108],{"categories":332},[95],{"categories":334},[95],{"categories":336},[95],{"categories":338},[],{"categories":340},[122],{"categories":342},[],{"categories":344},[],{"categories":346},[95],{"categories":348},[122],{"categories":350},[],{"categories":352},[122],{"categories":354},[95],{"categories":356},[108],{"categories":358},[95],{"categories":360},[232],{"categories":362},[95],{"categories":364},[95],{"categories":366},[95],{"categories":368},[201],{"categories":370},[201],{"categories":372},[95],{"categories":374},[122],{"categories":376},[108],{"categories":378},[379],"GovTech & Public-Sector Adoption",{"categories":381},[122],{"categories":383},[95],{"categories":385},[95],{"categories":387},[95],{"categories":389},[108],{"categories":391},[108],{"categories":393},[60],{"categories":395},[95],{"categories":397},[146],{"categories":399},[108],{"categories":401},[402],"Legal AI Tools",{"categories":404},[95],{"categories":406},[108],{"categories":408},[95],{"categories":410},[232],{"categories":412},[108],{"categories":414},[111],{"categories":416},[95],{"categories":418},[122],{"categories":420},[379],{"categories":422},[],{"categories":424},[108],{"categories":426},[],{"categories":428},[103],{"categories":430},[108],{"categories":432},[108],{"categories":434},[435],"RAG & Retrieval",{"categories":437},[103],{"categories":439},[95],{"categories":441},[122],{"categories":443},[122],{"categories":445},[273],{"categories":447},[201],{"categories":449},[108],{"categories":451},[95],{"categories":453},[95],{"categories":455},[],{"categories":457},[108],{"categories":459},[460],"Agents & Orchestration",{"categories":462},[122],{"categories":464},[95],{"categories":466},[],{"categories":468},[108],{"categories":470},[103],{"categories":472},[],{"categories":474},[95],{"categories":476},[],{"categories":478},[95],{"categories":480},[98],{"categories":482},[122],{"categories":484},[103],{"categories":486},[95],{"categories":488},[95],{"categories":490},[95],{"categories":492},[108],{"categories":494},[95],{"categories":496},[95],{"categories":498},[146],{"categories":500},[95],{"categories":502},[],{"categories":504},[95],{"categories":506},[95],{"categories":508},[],{"categories":510},[95],{"categories":512},[122],{"categories":514},[95],{"categories":516},[108],{"categories":518},[60],{"categories":520},[],{"categories":522},[95],{"categories":524},[95],{"categories":526},[201],{"categories":528},[529],"Models & Frontier Labs",{"categories":531},[],{"categories":533},[201],{"categories":535},[536],"Regulation & Governance of AI",{"categories":538},[111],{"categories":540},[108],{"categories":542},[],{"categories":544},[95],{"categories":546},[95],{"categories":548},[108],{"categories":550},[108],{"categories":552},[146],{"categories":554},[95],{"categories":556},[103],{"categories":558},[95],{"categories":560},[108],{"categories":562},[],{"categories":564},[122],{"categories":566},[108],{"categories":568},[95],{"categories":570},[111],{"categories":572},[95],{"categories":574},[575],"AI Policy & Regulation",{"categories":577},[],{"categories":579},[95],{"categories":581},[108],{"categories":583},[108],{"categories":585},[111],{"categories":587},[108],{"categories":589},[95],{"categories":591},[95],{"categories":593},[95],{"categories":595},[108],{"categories":597},[],{"categories":599},[60],{"categories":601},[602],"Evals & Reliability",{"categories":604},[95],{"categories":606},[95],{"categories":608},[],{"categories":610},[60],{"categories":612},[98],{"categories":614},[379],{"categories":616},[575],{"categories":618},[95],{"categories":620},[103],{"categories":622},[95],{"categories":624},[108],{"categories":626},[95],{"categories":628},[108],{"categories":630},[460],{"categories":632},[95],{"categories":634},[122],{"categories":636},[95],{"categories":638},[95],{"categories":640},[],{"categories":642},[201],{"categories":644},[],{"categories":646},[95],{"categories":648},[379],{"categories":650},[95],{"categories":652},[95],{"categories":654},[95],{"categories":656},[],{"categories":658},[95],{"categories":660},[201],{"categories":662},[122],{"categories":664},[],{"categories":666},[95],{"categories":668},[],{"categories":670},[108],{"categories":672},[95],{"categories":674},[201],{"categories":676},[],{"categories":678},[95],{"categories":680},[95],{"categories":682},[60],{"categories":684},[108],{"categories":686},[95],{"categories":688},[103],{"categories":690},[108],{"categories":692},[95],{"categories":694},[95],{"categories":696},[122],{"categories":698},[201],{"categories":700},[95],{"categories":702},[108],{"categories":704},[],{"categories":706},[122],{"categories":708},[108],{"categories":710},[60],{"categories":712},[],{"categories":714},[95],{"categories":716},[146],{"categories":718},[95],{"categories":720},[],{"categories":722},[95],{"categories":724},[95],{"categories":726},[95],{"categories":728},[103,232],{"categories":730},[],{"categories":732},[122],{"categories":734},[95],{"categories":736},[95],{"categories":738},[108],{"categories":740},[95],{"categories":742},[95],{"categories":744},[],{"categories":746},[],{"categories":748},[95],{"categories":750},[201],{"categories":752},[95],{"categories":754},[],{"categories":756},[95],{"categories":758},[273],{"categories":760},[],{"categories":762},[108],{"categories":764},[146],{"categories":766},[95],{"categories":768},[103],{"categories":770},[95],{"categories":772},[122],{"categories":774},[201],{"categories":776},[],{"categories":778},[146],{"categories":780},[95],{"categories":782},[135],{"categories":784},[95],{"categories":786},[95],{"categories":788},[108],{"categories":790},[146],{"categories":792},[529],{"categories":794},[95],{"categories":796},[232],{"categories":798},[],{"categories":800},[108],{"categories":802},[103],{"categories":804},[122],{"categories":806},[95],{"categories":808},[108],{"categories":810},[],{"categories":812},[95,273],{"categories":814},[95],{"categories":816},[95],{"categories":818},[95],{"categories":820},[108],{"categories":822},[95,122],{"categories":824},[60],{"categories":826},[95],{"categories":828},[95],{"categories":830},[95],{"categories":832},[122],{"categories":834},[95],{"categories":836},[108],{"categories":838},[108],{"categories":840},[575],{"categories":842},[232],{"categories":844},[95],{"categories":846},[108],{"categories":848},[95],{"categories":850},[95],{"categories":852},[108],{"categories":854},[],{"categories":856},[108],{"categories":858},[95],{"categories":860},[95],{"categories":862},[108],{"categories":864},[95],{"categories":866},[95,103],{"categories":868},[95],{"categories":870},[103],{"categories":872},[],{"categories":874},[201],{"categories":876},[201],{"categories":878},[95],{"categories":880},[],{"categories":882},[],{"categories":884},[95],{"categories":886},[146],{"categories":888},[],{"categories":890},[98],{"categories":892},[95],{"categories":894},[122],{"categories":896},[108],{"categories":898},[95],{"categories":900},[901],"Generative UI & Design-to-Code",{"categories":903},[95],{"categories":905},[95],{"categories":907},[201],{"categories":909},[95],{"categories":911},[912],"Algorithmic Accountability",{"categories":914},[108],{"categories":916},[122],{"categories":918},[146],{"categories":920},[201],{"categories":922},[95],{"categories":924},[],{"categories":926},[111],{"categories":928},[95],{"categories":930},[95],{"categories":932},[95],{"categories":934},[95],{"categories":936},[95],{"categories":938},[108],{"categories":940},[941],"MLOps & Infrastructure",{"categories":943},[95],{"categories":945},[95],{"categories":947},[95],{"categories":949},[95],{"categories":951},[95],{"categories":953},[122],{"categories":955},[146],{"categories":957},[95],{"categories":959},[95],{"categories":961},[111],{"categories":963},[98],{"categories":965},[95],{"categories":967},[108],{"categories":969},[273],{"categories":971},[95],{"categories":973},[103],{"categories":975},[95],{"categories":977},[201],{"categories":979},[95],{"categories":981},[111],{"categories":983},[95],{"categories":985},[108],{"categories":987},[],{"categories":989},[],{"categories":991},[95],{"categories":993},[135],{"categories":995},[201],{"categories":997},[146],{"categories":999},[60],{"categories":1001},[],{"categories":1003},[95],{"categories":1005},[95],{"categories":1007},[103],{"categories":1009},[108],{"categories":1011},[95],{"categories":1013},[95],{"categories":1015},[95],{"categories":1017},[95],{"categories":1019},[95],{"categories":1021},[146],{"categories":1023},[135],{"categories":1025},[95],{"categories":1027},[201],{"categories":1029},[95],{"categories":1031},[],{"categories":1033},[108],{"categories":1035},[122],{"categories":1037},[],{"categories":1039},[95],{"categories":1041},[95],{"categories":1043},[108],{"categories":1045},[122],{"categories":1047},[95],{"categories":1049},[60],{"categories":1051},[201],{"categories":1053},[],{"categories":1055},[95],{"categories":1057},[],{"categories":1059},[95],{"categories":1061},[],{"categories":1063},[95],{"categories":1065},[95],{"categories":1067},[111],{"categories":1069},[103],{"categories":1071},[108],{"categories":1073},[108],{"categories":1075},[],{"categories":1077},[95],{"categories":1079},[98],{"categories":1081},[95],{"categories":1083},[95],{"categories":1085},[103],{"categories":1087},[146],{"categories":1089},[98],{"categories":1091},[],{"categories":1093},[95],{"categories":1095},[],{"categories":1097},[95],{"categories":1099},[],{"categories":1101},[95],{"categories":1103},[146],{"categories":1105},[146],{"categories":1107},[],{"categories":1109},[460],{"categories":1111},[95],{"categories":1113},[201],{"categories":1115},[122],{"categories":1117},[],{"categories":1119},[402],{"categories":1121},[108],{"categories":1123},[103],{"categories":1125},[],{"categories":1127},[],{"categories":1129},[98],{"categories":1131},[60],{"categories":1133},[],{"categories":1135},[232],{"categories":1137},[108],{"categories":1139},[103],{"categories":1141},[108],{"categories":1143},[95],{"categories":1145},[103],{"categories":1147},[95],{"categories":1149},[122],{"categories":1151},[],{"categories":1153},[135],{"categories":1155},[111],{"categories":1157},[95],{"categories":1159},[201],{"categories":1161},[122],{"categories":1163},[103],{"categories":1165},[95],{"categories":1167},[122],{"categories":1169},[95],{"categories":1171},[108],{"categories":1173},[103],{"categories":1175},[95],{"categories":1177},[95],{"categories":1179},[95],{"categories":1181},[95],{"categories":1183},[95],{"categories":1185},[95],{"categories":1187},[],{"categories":1189},[],{"categories":1191},[122],{"categories":1193},[60],{"categories":1195},[111],{"categories":1197},[95],{"categories":1199},[108],{"categories":1201},[122],{"categories":1203},[122],{"categories":1205},[95],{"categories":1207},[],{"categories":1209},[95],{"categories":1211},[146],{"categories":1213},[111],{"categories":1215},[111],{"categories":1217},[122],{"categories":1219},[95],{"categories":1221},[602],{"categories":1223},[273],{"categories":1225},[],{"categories":1227},[108],{"categories":1229},[95],{"categories":1231},[98],{"categories":1233},[],{"categories":1235},[98],{"categories":1237},[],{"categories":1239},[95],{"categories":1241},[95],{"categories":1243},[95],{"categories":1245},[201],{"categories":1247},[232],{"categories":1249},[111],{"categories":1251},[95],{"categories":1253},[122],{"categories":1255},[95],{"categories":1257},[108],{"categories":1259},[],{"categories":1261},[122],{"categories":1263},[95],{"categories":1265},[98],{"categories":1267},[],{"categories":1269},[103],{"categories":1271},[95],{"categories":1273},[95],{"categories":1275},[146],{"categories":1277},[95,273],{"categories":1279},[95],{"categories":1281},[1282],"Design Systems for AI",{"categories":1284},[95],{"categories":1286},[95],{"categories":1288},[146],{"categories":1290},[95],{"categories":1292},[95],{"categories":1294},[95],{"categories":1296},[103],{"categories":1298},[95],{"categories":1300},[95],{"categories":1302},[95],{"categories":1304},[],{"categories":1306},[95],{"categories":1308},[95],{"categories":1310},[103],{"categories":1312},[95],{"categories":1314},[],{"categories":1316},[108],{"categories":1318},[108],{"categories":1320},[122],{"categories":1322},[146],{"categories":1324},[122],{"categories":1326},[95],{"categories":1328},[201],{"categories":1330},[146],{"categories":1332},[60],{"categories":1334},[95],{"categories":1336},[95],{"categories":1338},[95],{"categories":1340},[95],{"categories":1342},[108],{"categories":1344},[98],{"categories":1346},[575],{"categories":1348},[95],{"categories":1350},[95],{"categories":1352},[108],{"categories":1354},[95],{"categories":1356},[122],{"categories":1358},[95],{"categories":1360},[122],{"categories":1362},[],{"categories":1364},[201],{"categories":1366},[],{"categories":1368},[95],{"categories":1370},[108],{"categories":1372},[111],{"categories":1374},[],{"categories":1376},[103],{"categories":1378},[95],{"categories":1380},[],{"categories":1382},[201],{"categories":1384},[122],{"categories":1386},[108],{"categories":1388},[122],{"categories":1390},[201],{"categories":1392},[95],{"categories":1394},[122],{"categories":1396},[95],{"categories":1398},[201],{"categories":1400},[],{"categories":1402},[],{"categories":1404},[146],{"categories":1406},[108],{"categories":1408},[108],{"categories":1410},[95],{"categories":1412},[95],{"categories":1414},[95],{"categories":1416},[95],{"categories":1418},[95],{"categories":1420},[103],{"categories":1422},[95],{"categories":1424},[95],{"categories":1426},[],{"categories":1428},[122],{"categories":1430},[122],{"categories":1432},[95],{"categories":1434},[122],{"categories":1436},[103],{"categories":1438},[],{"categories":1440},[95],{"categories":1442},[95],{"categories":1444},[201],{"categories":1446},[95],{"categories":1448},[95],{"categories":1450},[95],{"categories":1452},[108],{"categories":1454},[98],{"categories":1456},[103],{"categories":1458},[95],{"categories":1460},[108],{"categories":1462},[146],{"categories":1464},[108],{"categories":1466},[135],{"categories":1468},[232],{"categories":1470},[95],{"categories":1472},[108],{"categories":1474},[95],{"categories":1476},[95],{"categories":1478},[95],{"categories":1480},[],{"categories":1482},[201],{"categories":1484},[],{"categories":1486},[95],{"categories":1488},[95],{"categories":1490},[],{"categories":1492},[95],{"categories":1494},[122],{"categories":1496},[103],{"categories":1498},[1499],"Visual & Generative Media",{"categories":1501},[108],{"categories":1503},[],{"categories":1505},[95],{"categories":1507},[95],{"categories":1509},[122],{"categories":1511},[95],{"categories":1513},[273],{"categories":1515},[95],{"categories":1517},[60],{"categories":1519},[575],{"categories":1521},[122],{"categories":1523},[232],{"categories":1525},[95],{"categories":1527},[111],{"categories":1529},[201],{"categories":1531},[95],{"categories":1533},[95],{"categories":1535},[122],{"categories":1537},[108],{"categories":1539},[95],{"categories":1541},[],{"categories":1543},[],{"categories":1545},[108],{"categories":1547},[122],{"categories":1549},[98],{"categories":1551},[108],{"categories":1553},[529],{"categories":1555},[95],{"categories":1557},[111],{"categories":1559},[95],{"categories":1561},[103],{"categories":1563},[],{"categories":1565},[95],{"categories":1567},[111],{"categories":1569},[95],{"categories":1571},[95],{"categories":1573},[95],{"categories":1575},[111],{"categories":1577},[95],{"categories":1579},[95],{"categories":1581},[232],{"categories":1583},[95],{"categories":1585},[460],{"categories":1587},[108],{"categories":1589},[95],{"categories":1591},[108],{"categories":1593},[95],{"categories":1595},[95],{"categories":1597},[108],{"categories":1599},[95],{"categories":1601},[95],{"categories":1603},[108],{"categories":1605},[95],{"categories":1607},[201],{"categories":1609},[108],{"categories":1611},[],{"categories":1613},[108],{"categories":1615},[95],{"categories":1617},[],{"categories":1619},[273],{"categories":1621},[122],{"categories":1623},[],{"categories":1625},[529],{"categories":1627},[95],{"categories":1629},[108],{"categories":1631},[108],{"categories":1633},[95],{"categories":1635},[201,95],{"categories":1637},[98],{"categories":1639},[95],{"categories":1641},[108],{"categories":1643},[201],{"categories":1645},[],{"categories":1647},[95],{"categories":1649},[98],{"categories":1651},[95],{"categories":1653},[1654],"Medical Imaging & Radiology",{"categories":1656},[95],{"categories":1658},[95],{"categories":1660},[95],{"categories":1662},[201],{"categories":1664},[108],{"categories":1666},[122],{"categories":1668},[],{"categories":1670},[95],{"categories":1672},[95],{"categories":1674},[95],{"categories":1676},[],{"categories":1678},[],{"categories":1680},[95],{"categories":1682},[95],{"categories":1684},[460],{"categories":1686},[95],{"categories":1688},[98],{"categories":1690},[95],{"categories":1692},[95],{"categories":1694},[],{"categories":1696},[108],{"categories":1698},[95],{"categories":1700},[111],{"categories":1702},[122],{"categories":1704},[95],{"categories":1706},[108],{"categories":1708},[460],{"categories":1710},[95],{"categories":1712},[108],{"categories":1714},[95],{"categories":1716},[95],{"categories":1718},[95],{"categories":1720},[95],{"categories":1722},[201],{"categories":1724},[108],{"categories":1726},[273],{"categories":1728},[201],{"categories":1730},[103],{"categories":1732},[108],{"categories":1734},[146],{"categories":1736},[95],{"categories":1738},[95],{"categories":1740},[111],{"categories":1742},[95],{"categories":1744},[95],{"categories":1746},[95],{"categories":1748},[95],{"categories":1750},[95],{"categories":1752},[108],{"categories":1754},[95],{"categories":1756},[122],{"categories":1758},[122],{"categories":1760},[95],{"categories":1762},[111],{"categories":1764},[],{"categories":1766},[146],{"categories":1768},[],{"categories":1770},[111],{"categories":1772},[108],{"categories":1774},[95],{"categories":1776},[108],{"categories":1778},[1282],{"categories":1780},[95],{"categories":1782},[1282],{"categories":1784},[201],{"categories":1786},[95],{"categories":1788},[95],{"categories":1790},[95],{"categories":1792},[108],{"categories":1794},[122],{"categories":1796},[201],{"categories":1798},[108],{"categories":1800},[146],{"categories":1802},[],{"categories":1804},[95],{"categories":1806},[],{"categories":1808},[95],{"categories":1810},[95],{"categories":1812},[95],{"categories":1814},[95],{"categories":1816},[95],{"categories":1818},[108],{"categories":1820},[1821],"Contract Review & E-Discovery",{"categories":1823},[95],{"categories":1825},[201],{"categories":1827},[95],{"categories":1829},[98],{"categories":1831},[95],{"categories":1833},[146],{"categories":1835},[95],{"categories":1837},[95],{"categories":1839},[232],{"categories":1841},[122],{"categories":1843},[108],{"categories":1845},[95],{"categories":1847},[95],{"categories":1849},[95],{"categories":1851},[108],{"categories":1853},[108],{"categories":1855},[912],{"categories":1857},[95],{"categories":1859},[95],{"categories":1861},[108],{"categories":1863},[108],{"categories":1865},[95],{"categories":1867},[95],{"categories":1869},[95],{"categories":1871},[108],{"categories":1873},[95],{"categories":1875},[122],{"categories":1877},[95],{"categories":1879},[460],{"categories":1881},[435],{"categories":1883},[95],{"categories":1885},[108],{"categories":1887},[95],{"categories":1889},[1890],"Law-Firm Practice & Adoption",{"categories":1892},[95],{"categories":1894},[108],{"categories":1896},[201],{"categories":1898},[95],{"categories":1900},[95],{"categories":1902},[95],{"categories":1904},[],{"categories":1906},[122],{"categories":1908},[],{"categories":1910},[122],{"categories":1912},[95],{"categories":1914},[],{"categories":1916},[108],{"categories":1918},[98],{"categories":1920},[273],{"categories":1922},[95],{"categories":1924},[],{"categories":1926},[95],{"categories":1928},[98],{"categories":1930},[103],{"categories":1932},[95],{"categories":1934},[232],{"categories":1936},[95],{"categories":1938},[],{"categories":1940},[103],{"categories":1942},[108],{"categories":1944},[103],{"categories":1946},[],{"categories":1948},[95],{"categories":1950},[111],{"categories":1952},[95],{"categories":1954},[122],{"categories":1956},[],{"categories":1958},[],{"categories":1960},[],{"categories":1962},[],{"categories":1964},[95],{"categories":1966},[111],{"categories":1968},[108],{"categories":1970},[273],{"categories":1972},[95],{"categories":1974},[98],{"categories":1976},[122],{"categories":1978},[95],{"categories":1980},[95],{"categories":1982},[122],{"categories":1984},[111],{"categories":1986},[95],{"categories":1988},[95],{"categories":1990},[95],{"categories":1992},[941],{"categories":1994},[95],{"categories":1996},[122],{"categories":1998},[95],{"categories":2000},[232],{"categories":2002},[122],{"categories":2004},[103],{"categories":2006},[95],{"categories":2008},[95],{"categories":2010},[95],{"categories":2012},[201],{"categories":2014},[95],{"categories":2016},[95],{"categories":2018},[95],{"categories":2020},[95],{"categories":2022},[103],{"categories":2024},[108],{"categories":2026},[95,98],{"categories":2028},[460],{"categories":2030},[95],{"categories":2032},[95],{"categories":2034},[122],{"categories":2036},[122],{"categories":2038},[201],{"categories":2040},[108],{"categories":2042},[108],{"categories":2044},[122],{"categories":2046},[95],{"categories":2048},[108],{"categories":2050},[95],{"categories":2052},[95],{"categories":2054},[],{"categories":2056},[],{"categories":2058},[95],{"categories":2060},[60],{"categories":2062},[95],{"categories":2064},[201],{"categories":2066},[108],{"categories":2068},[],{"categories":2070},[95],{"categories":2072},[95],{"categories":2074},[122],{"categories":2076},[60],{"categories":2078},[146],{"categories":2080},[201],{"categories":2082},[95],{"categories":2084},[108],{"categories":2086},[95],{"categories":2088},[122],{"categories":2090},[],{"categories":2092},[108],{"categories":2094},[95],{"categories":2096},[95],{"categories":2098},[95],{"categories":2100},[95],{"categories":2102},[95],{"categories":2104},[],{"categories":2106},[108],{"categories":2108},[95],{"categories":2110},[95],{"categories":2112},[95],{"categories":2114},[],{"categories":2116},[108],{"categories":2118},[108],{"categories":2120},[95],{"categories":2122},[95],{"categories":2124},[103],{"categories":2126},[95],{"categories":2128},[95],{"categories":2130},[],{"categories":2132},[98],{"categories":2134},[95],{"categories":2136},[95],{"categories":2138},[95],{"categories":2140},[201],{"categories":2142},[95],{"categories":2144},[122],{"categories":2146},[95],{"categories":2148},[98],{"categories":2150},[95],{"categories":2152},[122],{"categories":2154},[232],{"categories":2156},[122],{"categories":2158},[108],{"categories":2160},[108],{"categories":2162},[95],{"categories":2164},[95],{"categories":2166},[95,201],{"categories":2168},[95],{"categories":2170},[108],{"categories":2172},[146],{"categories":2174},[95],{"categories":2176},[146],{"categories":2178},[108],{"categories":2180},[201],{"categories":2182},[95],{"categories":2184},[],{"categories":2186},[122],{"categories":2188},[273],{"categories":2190},[201],{"categories":2192},[122],{"categories":2194},[95],{"categories":2196},[111],{"categories":2198},[95],{"categories":2200},[95],{"categories":2202},[108],{"categories":2204},[],{"categories":2206},[],{"categories":2208},[95],{"categories":2210},[],{"categories":2212},[],{"categories":2214},[111],{"categories":2216},[122],{"categories":2218},[95],{"categories":2220},[95],{"categories":2222},[108],{"categories":2224},[108],{"categories":2226},[103],{"categories":2228},[108],{"categories":2230},[273],{"categories":2232},[95],{"categories":2234},[95],{"categories":2236},[95],{"categories":2238},[135],{"categories":2240},[95],{"categories":2242},[95],{"categories":2244},[95],{"categories":2246},[95],{"categories":2248},[122],{"categories":2250},[108],{"categories":2252},[95],{"categories":2254},[95],{"categories":2256},[95],{"categories":2258},[122],{"categories":2260},[402],{"categories":2262},[108],{"categories":2264},[912],{"categories":2266},[],{"categories":2268},[108],{"categories":2270},[201],{"categories":2272},[1890],{"categories":2274},[122],{"categories":2276},[],{"categories":2278},[],{"categories":2280},[95],{"categories":2282},[108],{"categories":2284},[],{"categories":2286},[],{"categories":2288},[95],{"categories":2290},[232],{"categories":2292},[95],{"categories":2294},[232],{"categories":2296},[95],{"categories":2298},[108],{"categories":2300},[95],{"categories":2302},[60],{"categories":2304},[95],{"categories":2306},[122],{"categories":2308},[111],{"categories":2310},[],{"categories":2312},[95],{"categories":2314},[95],{"categories":2316},[95],{"categories":2318},[122],{"categories":2320},[95],{"categories":2322},[1821],{"categories":2324},[95],{"categories":2326},[201],{"categories":2328},[201],{"categories":2330},[95],{"categories":2332},[108],{"categories":2334},[98],{"categories":2336},[95],{"categories":2338},[95],{"categories":2340},[95],{"categories":2342},[95],{"categories":2344},[201],{"categories":2346},[201],{"categories":2348},[108],{"categories":2350},[108],{"categories":2352},[108],{"categories":2354},[95],{"categories":2356},[95],{"categories":2358},[95],{"categories":2360},[108],{"categories":2362},[],{"categories":2364},[95],{"categories":2366},[],{"categories":2368},[2369],"Interaction & Product Design",{"categories":2371},[95],{"categories":2373},[108],{"categories":2375},[122],{"categories":2377},[308],{"categories":2379},[146],{"categories":2381},[122],{"categories":2383},[95],{"categories":2385},[95],{"categories":2387},[95],{"categories":2389},[122],{"categories":2391},[95],{"categories":2393},[98],{"categories":2395},[108],{"categories":2397},[95],{"categories":2399},[],{"categories":2401},[108],{"categories":2403},[108],{"categories":2405},[108],{"categories":2407},[],{"categories":2409},[122],{"categories":2411},[95],{"categories":2413},[108],{"categories":2415},[98],{"categories":2417},[2369],{"categories":2419},[95],{"categories":2421},[98],{"categories":2423},[98],{"categories":2425},[95],{"categories":2427},[],{"categories":2429},[95],{"categories":2431},[108],{"categories":2433},[122],{"categories":2435},[],{"categories":2437},[108],{"categories":2439},[146],{"categories":2441},[95],{"categories":2443},[108],{"categories":2445},[95],{"categories":2447},[108],{"categories":2449},[108],{"categories":2451},[95],{"categories":2453},[95],{"categories":2455},[146],{"categories":2457},[60],{"categories":2459},[95],{"categories":2461},[111],{"categories":2463},[122],{"categories":2465},[2466],"Coding Agents & Dev Productivity",{"categories":2468},[146],{"categories":2470},[201],{"categories":2472},[95],{"categories":2474},[95],{"categories":2476},[],{"categories":2478},[95],{"categories":2480},[912],{"categories":2482},[],{"categories":2484},[95],{"categories":2486},[95],{"categories":2488},[273],{"categories":2490},[95],{"categories":2492},[146],{"categories":2494},[],{"categories":2496},[],{"categories":2498},[95],{"categories":2500},[],{"categories":2502},[108],{"categories":2504},[95],{"categories":2506},[108],{"categories":2508},[],{"categories":2510},[122],{"categories":2512},[122],{"categories":2514},[95],{"categories":2516},[60],{"categories":2518},[],{"categories":2520},[95],{"categories":2522},[95],{"categories":2524},[95],{"categories":2526},[60],{"categories":2528},[122],{"categories":2530},[108],{"categories":2532},[],{"categories":2534},[],{"categories":2536},[95],{"categories":2538},[95],{"categories":2540},[95],{"categories":2542},[95],{"categories":2544},[108],{"categories":2546},[108],{"categories":2548},[379],{"categories":2550},[122],{"categories":2552},[111],{"categories":2554},[122],{"categories":2556},[108],{"categories":2558},[146],{"categories":2560},[146],{"categories":2562},[108],{"categories":2564},[108],{"categories":2566},[95],{"categories":2568},[98],{"categories":2570},[2369],{"categories":2572},[111],{"categories":2574},[95,273],{"categories":2576},[60],{"categories":2578},[],{"categories":2580},[201],{"categories":2582},[108],{"categories":2584},[122],{"categories":2586},[98],{"categories":2588},[95],{"categories":2590},[108],{"categories":2592},[2593],"The Designer's Role & Craft",{"categories":2595},[201],{"categories":2597},[],{"categories":2599},[108],{"categories":2601},[95],{"categories":2603},[108],{"categories":2605},[108],{"categories":2607},[95],{"categories":2609},[232],{"categories":2611},[95],{"categories":2613},[122],{"categories":2615},[108],{"categories":2617},[95],{"categories":2619},[201],{"categories":2621},[95],{"categories":2623},[],{"categories":2625},[108],{"categories":2627},[201],{"categories":2629},[111],{"categories":2631},[95],{"categories":2633},[108],{"categories":2635},[95],{"categories":2637},[95],{"categories":2639},[2640],"AI UX Patterns",{"categories":2642},[108],{"categories":2644},[108],{"categories":2646},[108],{"categories":2648},[95],{"categories":2650},[108],{"categories":2652},[232],{"categories":2654},[60],{"categories":2656},[95],{"categories":2658},[108],{"categories":2660},[95],{"categories":2662},[1282],{"categories":2664},[],{"categories":2666},[232],{"categories":2668},[108],{"categories":2670},[146],{"categories":2672},[122],{"categories":2674},[95],{"categories":2676},[108],{"categories":2678},[],{"categories":2680},[],{"categories":2682},[95],{"categories":2684},[95],{"categories":2686},[108],{"categories":2688},[95],{"categories":2690},[108],{"categories":2692},[379],{"categories":2694},[201],{"categories":2696},[95],{"categories":2698},[146],{"categories":2700},[122],{"categories":2702},[95],{"categories":2704},[108],{"categories":2706},[108],{"categories":2708},[],{"categories":2710},[95],{"categories":2712},[],{"categories":2714},[95],{"categories":2716},[],{"categories":2718},[95],{"categories":2720},[95],{"categories":2722},[95],{"categories":2724},[108],{"categories":2726},[122],{"categories":2728},[],{"categories":2730},[],{"categories":2732},[60],{"categories":2734},[135],{"categories":2736},[95],{"categories":2738},[95],{"categories":2740},[95],{"categories":2742},[60],{"categories":2744},[60],{"categories":2746},[95],{"categories":2748},[95],{"categories":2750},[146],{"categories":2752},[95],{"categories":2754},[95],{"categories":2756},[95],{"categories":2758},[108],{"categories":2760},[95],{"categories":2762},[108],{"categories":2764},[95],{"categories":2766},[95],{"categories":2768},[95],{"categories":2770},[108],{"categories":2772},[],{"categories":2774},[95],{"categories":2776},[],{"categories":2778},[95],{"categories":2780},[95],{"categories":2782},[273],{"categories":2784},[95],{"categories":2786},[],{"categories":2788},[],{"categories":2790},[201],{"categories":2792},[941],{"categories":2794},[108],{"categories":2796},[98],{"categories":2798},[2593],{"categories":2800},[],{"categories":2802},[],{"categories":2804},[95],{"categories":2806},[],{"categories":2808},[],{"categories":2810},[122],{"categories":2812},[146],{"categories":2814},[232],{"categories":2816},[108],{"categories":2818},[103],{"categories":2820},[95],{"categories":2822},[95],{"categories":2824},[103],{"categories":2826},[],{"categories":2828},[201],{"categories":2830},[111],{"categories":2832},[95],{"categories":2834},[95],{"categories":2836},[108],{"categories":2838},[103],{"categories":2840},[95],{"categories":2842},[95],{"categories":2844},[98],{"categories":2846},[95],{"categories":2848},[95],{"categories":2850},[],{"categories":2852},[98],{"categories":2854},[95],{"categories":2856},[232],{"categories":2858},[108],{"categories":2860},[146],{"categories":2862},[95],{"categories":2864},[122],{"categories":2866},[95],{"categories":2868},[95],{"categories":2870},[95],{"categories":2872},[95],{"categories":2874},[103],{"categories":2876},[95],{"categories":2878},[95],{"categories":2880},[95],{"categories":2882},[108],{"categories":2884},[95],{"categories":2886},[95],{"categories":2888},[],{"categories":2890},[95],{"categories":2892},[122],{"categories":2894},[98],{"categories":2896},[95],{"categories":2898},[95],{"categories":2900},[201],{"categories":2902},[95],{"categories":2904},[],{"categories":2906},[95],{"categories":2908},[460],{"categories":2910},[108],{"categories":2912},[103],{"categories":2914},[146],{"categories":2916},[95],{"categories":2918},[95],{"categories":2920},[],{"categories":2922},[103],{"categories":2924},[103],{"categories":2926},[95],{"categories":2928},[95],{"categories":2930},[111],{"categories":2932},[95],{"categories":2934},[95],{"categories":2936},[95],{"categories":2938},[95],{"categories":2940},[122],{"categories":2942},[60],{"categories":2944},[122],{"categories":2946},[95],{"categories":2948},[],{"categories":2950},[95],{"categories":2952},[122],{"categories":2954},[95],{"categories":2956},[122],{"categories":2958},[108],{"categories":2960},[575],{"categories":2962},[],{"categories":2964},[],{"categories":2966},[95],{"categories":2968},[146],{"categories":2970},[],{"categories":2972},[273],{"categories":2974},[95],{"categories":2976},[95],{"categories":2978},[95],{"categories":2980},[201],{"categories":2982},[901],{"categories":2984},[],{"categories":2986},[95],{"categories":2988},[95],{"categories":2990},[95],{"categories":2992},[122],{"categories":2994},[95],{"categories":2996},[95],{"categories":2998},[95],{"categories":3000},[95,273],{"categories":3002},[95],{"categories":3004},[95],{"categories":3006},[201],{"categories":3008},[108],{"categories":3010},[],{"categories":3012},[108],{"categories":3014},[108],{"categories":3016},[95],{"categories":3018},[95],{"categories":3020},[95],{"categories":3022},[95],{"categories":3024},[60],{"categories":3026},[95],{"categories":3028},[2640],{"categories":3030},[98],{"categories":3032},[95],{"categories":3034},[60],{"categories":3036},[98],{"categories":3038},[122],{"categories":3040},[201],{"categories":3042},[108],{"categories":3044},[95],{"categories":3046},[],{"categories":3048},[103],{"categories":3050},[95],{"categories":3052},[95],{"categories":3054},[146],{"categories":3056},[95],{"categories":3058},[95],{"categories":3060},[95],{"categories":3062},[108],{"categories":3064},[95],{"categories":3066},[95],{"categories":3068},[201],{"categories":3070},[95],{"categories":3072},[103],{"categories":3074},[],{"categories":3076},[273],{"categories":3078},[95],{"categories":3080},[379],{"categories":3082},[201],{"categories":3084},[201],{"categories":3086},[122],{"categories":3088},[108],{"categories":3090},[95],{"categories":3092},[103],{"categories":3094},[146],{"categories":3096},[95],{"categories":3098},[95],{"categories":3100},[95],{"categories":3102},[201],{"categories":3104},[108],{"categories":3106},[95],{"categories":3108},[108],{"categories":3110},[95],{"categories":3112},[108],{"categories":3114},[95],{"categories":3116},[529],{"categories":3118},[95],{"categories":3120},[108],{"categories":3122},[],{"categories":3124},[95],{"categories":3126},[95],{"categories":3128},[95],{"categories":3130},[95],{"categories":3132},[],{"categories":3134},[],{"categories":3136},[95],{"categories":3138},[95],{"categories":3140},[108],{"categories":3142},[95],{"categories":3144},[95],{"categories":3146},[95],{"categories":3148},[122],{"categories":3150},[95],{"categories":3152},[95],{"categories":3154},[108],{"categories":3156},[95],{"categories":3158},[95],{"categories":3160},[95],{"categories":3162},[95],{"categories":3164},[95],{"categories":3166},[],{"categories":3168},[122],{"categories":3170},[60],{"categories":3172},[95],{"categories":3174},[108],{"categories":3176},[108],{"categories":3178},[95],{"categories":3180},[95],{"categories":3182},[],{"categories":3184},[],{"categories":3186},[95],{"categories":3188},[95],{"categories":3190},[95],{"categories":3192},[146],{"categories":3194},[60],{"categories":3196},[],{"categories":3198},[95],{"categories":3200},[201],{"categories":3202},[95],{"categories":3204},[273],{"categories":3206},[1890],{"categories":3208},[95],{"categories":3210},[146],{"categories":3212},[122],{"categories":3214},[95],{"categories":3216},[122],{"categories":3218},[122],{"categories":3220},[95],{"categories":3222},[95],{"categories":3224},[122],{"categories":3226},[146],{"categories":3228},[146],{"categories":3230},[273],{"categories":3232},[108],{"categories":3234},[],{"categories":3236},[146],{"categories":3238},[103],{"categories":3240},[95],{"categories":3242},[108],{"categories":3244},[98],{"categories":3246},[122],{"categories":3248},[95],{"categories":3250},[146],{"categories":3252},[],{"categories":3254},[95],{"categories":3256},[122],{"categories":3258},[122],{"categories":3260},[60],{"categories":3262},[95],{"categories":3264},[146],{"categories":3266},[95],{"categories":3268},[122],{"categories":3270},[108],{"categories":3272},[108],{"categories":3274},[146],{"categories":3276},[108],{"categories":3278},[273],{"categories":3280},[108],{"categories":3282},[95],{"categories":3284},[95],{"categories":3286},[95],{"categories":3288},[95],{"categories":3290},[95],{"categories":3292},[122],{"categories":3294},[95],{"categories":3296},[],{"categories":3298},[108],{"categories":3300},[103],{"categories":3302},[122],{"categories":3304},[],{"categories":3306},[],{"categories":3308},[95],{"categories":3310},[108],{"categories":3312},[95],{"categories":3314},[95],{"categories":3316},[95],{"categories":3318},[3319],"Frameworks & Tooling",{"categories":3321},[95],{"categories":3323},[95],{"categories":3325},[122],{"categories":3327},[95],{"categories":3329},[95],{"categories":3331},[],{"categories":3333},[60],{"categories":3335},[60],{"categories":3337},[95],{"categories":3339},[98],{"categories":3341},[95],{"categories":3343},[108],{"categories":3345},[95],{"categories":3347},[201],{"categories":3349},[],{"categories":3351},[1890],{"categories":3353},[95],{"categories":3355},[122],{"categories":3357},[95],{"categories":3359},[273],{"categories":3361},[273],{"categories":3363},[],{"categories":3365},[108],{"categories":3367},[108],{"categories":3369},[95],{"categories":3371},[95],{"categories":3373},[146],{"categories":3375},[108],{"categories":3377},[146],{"categories":3379},[95],{"categories":3381},[108],{"categories":3383},[],{"categories":3385},[201],{"categories":3387},[95],{"categories":3389},[95],{"categories":3391},[],{"categories":3393},[95],{"categories":3395},[108],{"categories":3397},[95],{"categories":3399},[95],{"categories":3401},[95],{"categories":3403},[],{"categories":3405},[103],{"categories":3407},[122],{"categories":3409},[95],{"categories":3411},[122],{"categories":3413},[273],{"categories":3415},[95],{"categories":3417},[95],{"categories":3419},[95],{"categories":3421},[122],{"categories":3423},[95],{"categories":3425},[103],{"categories":3427},[95],{"categories":3429},[1890],{"categories":3431},[],{"categories":3433},[108],{"categories":3435},[98],{"categories":3437},[95],{"categories":3439},[98],{"categories":3441},[95],{"categories":3443},[],{"categories":3445},[108],{"categories":3447},[95],{"categories":3449},[95],{"categories":3451},[3452],"AI Design Tooling",{"categories":3454},[201],{"categories":3456},[95],{"categories":3458},[95],{"categories":3460},[122],{"categories":3462},[201],{"categories":3464},[95],{"categories":3466},[95],{"categories":3468},[122],{"categories":3470},[108],{"categories":3472},[146],{"categories":3474},[111],{"categories":3476},[122],{"categories":3478},[95],{"categories":3480},[95],{"categories":3482},[95],{"categories":3484},[108],{"categories":3486},[95],{"categories":3488},[],{"categories":3490},[108],{"categories":3492},[95],{"categories":3494},[95],{"categories":3496},[108],{"categories":3498},[95],{"categories":3500},[95],{"categories":3502},[95],{"categories":3504},[108],{"categories":3506},[],{"categories":3508},[108],{"categories":3510},[3319],{"categories":3512},[95],{"categories":3514},[95],{"categories":3516},[108],{"categories":3518},[108],{"categories":3520},[122],{"categories":3522},[122],{"categories":3524},[95],{"categories":3526},[95],{"categories":3528},[],{"categories":3530},[122],{"categories":3532},[95],{"categories":3534},[95],{"categories":3536},[108],{"categories":3538},[103],{"categories":3540},[95],{"categories":3542},[],{"categories":3544},[95],{"categories":3546},[95],{"categories":3548},[2369],{"categories":3550},[],{"categories":3552},[95],{"categories":3554},[95],{"categories":3556},[95],{"categories":3558},[95],{"categories":3560},[201],{"categories":3562},[95],{"categories":3564},[],{"categories":3566},[95],{"categories":3568},[95],{"categories":3570},[95],{"categories":3572},[95],{"categories":3574},[232],{"categories":3576},[146],{"categories":3578},[95],{"categories":3580},[95],{"categories":3582},[1890],{"categories":3584},[95],{"categories":3586},[98],{"categories":3588},[95],{"categories":3590},[95],{"categories":3592},[60],{"categories":3594},[108],{"categories":3596},[95],{"categories":3598},[95],{"categories":3600},[146],{"categories":3602},[108],{"categories":3604},[],{"categories":3606},[95],{"categories":3608},[95],{"categories":3610},[201],{"categories":3612},[95],{"categories":3614},[232],{"categories":3616},[108],{"categories":3618},[95],{"categories":3620},[108],{"categories":3622},[95],{"categories":3624},[],{"categories":3626},[],{"categories":3628},[],{"categories":3630},[98],{"categories":3632},[146],{"categories":3634},[108],{"categories":3636},[95],{"categories":3638},[95],{"categories":3640},[95],{"categories":3642},[95],{"categories":3644},[402],{"categories":3646},[201],{"categories":3648},[108],{"categories":3650},[95],{"categories":3652},[],{"categories":3654},[108],{"categories":3656},[108],{"categories":3658},[],{"categories":3660},[95],{"categories":3662},[108],{"categories":3664},[95],{"categories":3666},[],{"categories":3668},[95],{"categories":3670},[95],{"categories":3672},[95],{"categories":3674},[146],{"categories":3676},[201],{"categories":3678},[108],{"categories":3680},[201],{"categories":3682},[108],{"categories":3684},[95],{"categories":3686},[103],{"categories":3688},[],{"categories":3690},[],{"categories":3692},[95],{"categories":3694},[95],{"categories":3696},[95],{"categories":3698},[98],{"categories":3700},[95],{"categories":3702},[108],{"categories":3704},[146],{"categories":3706},[],{"categories":3708},[201],{"categories":3710},[108],{"categories":3712},[],{"categories":3714},[122],{"categories":3716},[95],{"categories":3718},[122],{"categories":3720},[201],{"categories":3722},[122],{"categories":3724},[95],{"categories":3726},[],{"categories":3728},[95],{"categories":3730},[95],{"categories":3732},[108],{"categories":3734},[],{"categories":3736},[95],{"categories":3738},[95],{"categories":3740},[232],{"categories":3742},[95],{"categories":3744},[95],{"categories":3746},[273],{"categories":3748},[122],{"categories":3750},[95],{"categories":3752},[108],{"categories":3754},[],{"categories":3756},[95],{"categories":3758},[108],{"categories":3760},[95],{"categories":3762},[98],{"categories":3764},[529],{"categories":3766},[95],{"categories":3768},[95],{"categories":3770},[95],{"categories":3772},[108],{"categories":3774},[95],{"categories":3776},[108],{"categories":3778},[95],{"categories":3780},[95],{"categories":3782},[95],{"categories":3784},[108],{"categories":3786},[95],{"categories":3788},[95],{"categories":3790},[],{"categories":3792},[95],{"categories":3794},[98],{"categories":3796},[95],{"categories":3798},[103],{"categories":3800},[122],{"categories":3802},[201],{"categories":3804},[],{"categories":3806},[95],{"categories":3808},[],{"categories":3810},[108],{"categories":3812},[95],{"categories":3814},[108],{"categories":3816},[],{"categories":3818},[108],{"categories":3820},[95],{"categories":3822},[122],{"categories":3824},[201],{"categories":3826},[146],{"categories":3828},[95],{"categories":3830},[146],{"categories":3832},[108],{"categories":3834},[201],{"categories":3836},[95],{"categories":3838},[],{"categories":3840},[95],{"categories":3842},[135],{"categories":3844},[108],{"categories":3846},[95],{"categories":3848},[201],{"categories":3850},[146],{"categories":3852},[95],{"categories":3854},[103],{"categories":3856},[122],{"categories":3858},[95],{"categories":3860},[95],{"categories":3862},[95],{"categories":3864},[95],{"categories":3866},[95],{"categories":3868},[146],{"categories":3870},[122],{"categories":3872},[232],{"categories":3874},[],{"categories":3876},[],{"categories":3878},[60],{"categories":3880},[460],{"categories":3882},[95],{"categories":3884},[108],{"categories":3886},[95,122],{"categories":3888},[146],{"categories":3890},[95],{"categories":3892},[95],{"categories":3894},[95],{"categories":3896},[95],{"categories":3898},[95],{"categories":3900},[95],{"categories":3902},[95],{"categories":3904},[108],{"categories":3906},[95],{"categories":3908},[95],{"categories":3910},[108],{"categories":3912},[95],{"categories":3914},[95],{"categories":3916},[95],{"categories":3918},[],{"categories":3920},[95],{"categories":3922},[1282],{"categories":3924},[122],{"categories":3926},[201],{"categories":3928},[95],{"categories":3930},[95],{"categories":3932},[95],{"categories":3934},[95],{"categories":3936},[60],{"categories":3938},[108],{"categories":3940},[232],{"categories":3942},[273],{"categories":3944},[],{"categories":3946},[122],{"categories":3948},[95],{"categories":3950},[103],{"categories":3952},[108],{"categories":3954},[95],{"categories":3956},[98],{"categories":3958},[108],{"categories":3960},[95],{"categories":3962},[108],{"categories":3964},[108],{"categories":3966},[111],{"categories":3968},[122],{"categories":3970},[95],{"categories":3972},[95],{"categories":3974},[],{"categories":3976},[],{"categories":3978},[],{"categories":3980},[273],{"categories":3982},[95],{"categories":3984},[146],{"categories":3986},[95],{"categories":3988},[95],{"categories":3990},[95],{"categories":3992},[95],{"categories":3994},[122],{"categories":3996},[95],{"categories":3998},[],{"categories":4000},[95],{"categories":4002},[60],{"categories":4004},[103],{"categories":4006},[108],{"categories":4008},[95],{"categories":4010},[],{"categories":4012},[95],{"categories":4014},[108],{"categories":4016},[122],{"categories":4018},[95],{"categories":4020},[95],{"categories":4022},[95],{"categories":4024},[273],{"categories":4026},[],{"categories":4028},[201],{"categories":4030},[201],{"categories":4032},[95],{"categories":4034},[108],{"categories":4036},[],{"categories":4038},[122],{"categories":4040},[95],{"categories":4042},[201],{"categories":4044},[95],{"categories":4046},[103],{"categories":4048},[108],{"categories":4050},[95],{"categories":4052},[],{"categories":4054},[146],{"categories":4056},[95],{"categories":4058},[95],{"categories":4060},[95],{"categories":4062},[95],{"categories":4064},[201],{"categories":4066},[108],{"categories":4068},[146],{"categories":4070},[],{"categories":4072},[108],{"categories":4074},[95],{"categories":4076},[103],{"categories":4078},[108],{"categories":4080},[201],{"categories":4082},[95],{"categories":4084},[95],{"categories":4086},[95],{"categories":4088},[460],{"categories":4090},[95],{"categories":4092},[108],{"categories":4094},[],{"categories":4096},[95],{"categories":4098},[95],{"categories":4100},[273],{"categories":4102},[146],{"categories":4104},[60],{"categories":4106},[575],{"categories":4108},[60],{"categories":4110},[60],{"categories":4112},[95],{"categories":4114},[],{"categories":4116},[],{"categories":4118},[],{"categories":4120},[108],{"categories":4122},[95],{"categories":4124},[95],{"categories":4126},[108],{"categories":4128},[108],{"categories":4130},[122],{"categories":4132},[95],{"categories":4134},[435],{"categories":4136},[122],{"categories":4138},[95],{"categories":4140},[108],{"categories":4142},[95],{"categories":4144},[95],{"categories":4146},[95],{"categories":4148},[103],{"categories":4150},[95],{"categories":4152},[95],{"categories":4154},[95],{"categories":4156},[108],{"categories":4158},[95],{"categories":4160},[],{"categories":4162},[],{"categories":4164},[95],{"categories":4166},[],{"categories":4168},[95],{"categories":4170},[108],{"categories":4172},[201],{"categories":4174},[95],{"categories":4176},[95],{"categories":4178},[108],{"categories":4180},[],{"categories":4182},[108],{"categories":4184},[95],{"categories":4186},[95],{"categories":4188},[111],{"categories":4190},[95],{"categories":4192},[201],{"categories":4194},[95],{"categories":4196},[108],{"categories":4198},[103],{"categories":4200},[95],{"categories":4202},[95],{"categories":4204},[95],{"categories":4206},[232],{"categories":4208},[108],{"categories":4210},[95],{"categories":4212},[95],{"categories":4214},[901],{"categories":4216},[95],{"categories":4218},[108],{"categories":4220},[95],{"categories":4222},[122],{"categories":4224},[95],{"categories":4226},[529],{"categories":4228},[201],{"categories":4230},[],{"categories":4232},[95],{"categories":4234},[95],{"categories":4236},[146],{"categories":4238},[460],{"categories":4240},[108],{"categories":4242},[95],{"categories":4244},[],{"categories":4246},[146],{"categories":4248},[379],{"categories":4250},[108],{"categories":4252},[108],{"categories":4254},[108],{"categories":4256},[95],{"categories":4258},[95],{"categories":4260},[108],{"categories":4262},[95],{"categories":4264},[],{"categories":4266},[103],{"categories":4268},[95],{"categories":4270},[201],{"categories":4272},[103],{"categories":4274},[108],{"categories":4276},[],{"categories":4278},[122],{"categories":4280},[95],{"categories":4282},[95],{"categories":4284},[98],{"categories":4286},[95],{"categories":4288},[146],{"categories":4290},[273],{"categories":4292},[135],{"categories":4294},[108],{"categories":4296},[108],{"categories":4298},[95],{"categories":4300},[95],{"categories":4302},[108],{"categories":4304},[95],{"categories":4306},[98],{"categories":4308},[],{"categories":4310},[108],{"categories":4312},[95],{"categories":4314},[95],{"categories":4316},[95],{"categories":4318},[108],{"categories":4320},[95],{"categories":4322},[],{"categories":4324},[95],{"categories":4326},[],{"categories":4328},[201],{"categories":4330},[108],{"categories":4332},[95,103],{"categories":4334},[108],{"categories":4336},[95],{"categories":4338},[],{"categories":4340},[98],{"categories":4342},[60],{"categories":4344},[103],{"categories":4346},[95],{"categories":4348},[122],{"categories":4350},[95],{"categories":4352},[95],{"categories":4354},[108],{"categories":4356},[95],{"categories":4358},[95],{"categories":4360},[95],{"categories":4362},[146],{"categories":4364},[1282],{"categories":4366},[108],{"categories":4368},[95],{"categories":4370},[],{"categories":4372},[],{"categories":4374},[95],{"categories":4376},[108],{"categories":4378},[95],{"categories":4380},[95],{"categories":4382},[273],{"categories":4384},[],{"categories":4386},[95],{"categories":4388},[108],{"categories":4390},[135],{"categories":4392},[108],{"categories":4394},[95],{"categories":4396},[460],{"categories":4398},[],{"categories":4400},[402],{"categories":4402},[95],{"categories":4404},[108],{"categories":4406},[95],{"categories":4408},[95],{"categories":4410},[95],{"categories":4412},[232],{"categories":4414},[95],{"categories":4416},[108],{"categories":4418},[95],{"categories":4420},[60],{"categories":4422},[111],{"categories":4424},[108],{"categories":4426},[95],{"categories":4428},[460],{"categories":4430},[95],{"categories":4432},[273],{"categories":4434},[103],{"categories":4436},[],{"categories":4438},[95],{"categories":4440},[95],{"categories":4442},[232],{"categories":4444},[201],{"categories":4446},[95],{"categories":4448},[95],{"categories":4450},[95],{"categories":4452},[],{"categories":4454},[232],{"categories":4456},[146],{"categories":4458},[95],{"categories":4460},[95],{"categories":4462},[95],{"categories":4464},[575],{"categories":4466},[98],{"categories":4468},[95],{"categories":4470},[111],{"categories":4472},[95],{"categories":4474},[95],{"categories":4476},[],{"categories":4478},[],{"categories":4480},[201],{"categories":4482},[95],{"categories":4484},[95],{"categories":4486},[60],{"categories":4488},[232],{"categories":4490},[108],{"categories":4492},[95],{"categories":4494},[95],{"categories":4496},[232],{"categories":4498},[146],{"categories":4500},[95],{"categories":4502},[],{"categories":4504},[95],{"categories":4506},[95],{"categories":4508},[],{"categories":4510},[95],{"categories":4512},[95],{"categories":4514},[602],{"categories":4516},[95],{"categories":4518},[95],{"categories":4520},[108],{"categories":4522},[122],{"categories":4524},[460],{"categories":4526},[95],{"categories":4528},[103],{"categories":4530},[95],{"categories":4532},[95],{"categories":4534},[],{"categories":4536},[95,122],{"categories":4538},[146],{"categories":4540},[108],{"categories":4542},[122],{"categories":4544},[108],{"categories":4546},[941],{"categories":4548},[122],{"categories":4550},[122],{"categories":4552},[108],{"categories":4554},[95],{"categories":4556},[98],{"categories":4558},[95],{"categories":4560},[],{"categories":4562},[],{"categories":4564},[108],{"categories":4566},[95],{"categories":4568},[122],{"categories":4570},[108],{"categories":4572},[95],{"categories":4574},[98],{"categories":4576},[122],{"categories":4578},[122],{"categories":4580},[95],{"categories":4582},[232],{"categories":4584},[95],{"categories":4586},[95],{"categories":4588},[122],{"categories":4590},[95],{"categories":4592},[],{"categories":4594},[95],{"categories":4596},[95],{"categories":4598},[201,95],{"categories":4600},[273],{"categories":4602},[98],{"categories":4604},[95],{"categories":4606},[],{"categories":4608},[95],{"categories":4610},[95],{"categories":4612},[103],{"categories":4614},[95],{"categories":4616},[103],{"categories":4618},[95],{"categories":4620},[95],{"categories":4622},[379],{"categories":4624},[95],{"categories":4626},[103],{"categories":4628},[122],{"categories":4630},[60],{"categories":4632},[108],{"categories":4634},[95],{"categories":4636},[122],{"categories":4638},[95],{"categories":4640},[95],{"categories":4642},[146],{"categories":4644},[232],{"categories":4646},[201],{"categories":4648},[95],{"categories":4650},[95],{"categories":4652},[111],{"categories":4654},[95],{"categories":4656},[95],{"categories":4658},[98],{"categories":4660},[95],{"categories":4662},[108],{"categories":4664},[108],{"categories":4666},[122],{"categories":4668},[95],{"categories":4670},[146],{"categories":4672},[122],{"categories":4674},[122],{"categories":4676},[95],{"categories":4678},[95],{"categories":4680},[],{"categories":4682},[],{"categories":4684},[60],{"categories":4686},[95],{"categories":4688},[122],{"categories":4690},[95],{"categories":4692},[201],{"categories":4694},[460],{"categories":4696},[402],{"categories":4698},[379],{"categories":4700},[95],{"categories":4702},[95],{"categories":4704},[122],{"categories":4706},[95],{"categories":4708},[60],{"categories":4710},[95],{"categories":4712},[95],{"categories":4714},[95],{"categories":4716},[95],{"categories":4718},[95],{"categories":4720},[95],{"categories":4722},[95],{"categories":4724},[108],{"categories":4726},[98],{"categories":4728},[108],{"categories":4730},[95,103],{"categories":4732},[],{"categories":4734},[201],{"categories":4736},[],{"categories":4738},[111],{"categories":4740},[95],{"categories":4742},[146],{"categories":4744},[98],{"categories":4746},[95],{"categories":4748},[98],{"categories":4750},[108],{"categories":4752},[60],{"categories":4754},[108],{"categories":4756},[103],{"categories":4758},[111],{"categories":4760},[95],{"categories":4762},[108],{"categories":4764},[95],{"categories":4766},[95],{"categories":4768},[95],{"categories":4770},[103],{"categories":4772},[108],{"categories":4774},[122],{"categories":4776},[232],{"categories":4778},[95],{"categories":4780},[95],{"categories":4782},[],{"categories":4784},[146],{"categories":4786},[95],{"categories":4788},[95],{"categories":4790},[95],{"categories":4792},[95],{"categories":4794},[95],{"categories":4796},[95],{"categories":4798},[122],{"categories":4800},[146],{"categories":4802},[122],{"categories":4804},[122],{"categories":4806},[95],{"categories":4808},[95],{"categories":4810},[95],{"categories":4812},[95],{"categories":4814},[402],{"categories":4816},[95],{"categories":4818},[108],{"categories":4820},[108],{"categories":4822},[146],{"categories":4824},[95],{"categories":4826},[95],{"categories":4828},[95],{"categories":4830},[108],{"categories":4832},[95],{"categories":4834},[95],{"categories":4836},[95],{"categories":4838},[3319],{"categories":4840},[4841],"Clinical AI",{"categories":4843},[201],{"categories":4845},[95],{"categories":4847},[95],{"categories":4849},[95],{"categories":4851},[95],{"categories":4853},[273],{"categories":4855},[2640],{"categories":4857},[95],{"categories":4859},[111],{"categories":4861},[201],{"categories":4863},[95],{"categories":4865},[108],{"categories":4867},[95],{"categories":4869},[95],{"categories":4871},[146],{"categories":4873},[95],{"categories":4875},[108],{"categories":4877},[122],{"categories":4879},[232],{"categories":4881},[95],{"categories":4883},[95],{"categories":4885},[103],{"categories":4887},[95],{"categories":4889},[95],{"categories":4891},[529],{"categories":4893},[95],{"categories":4895},[],{"categories":4897},[108],{"categories":4899},[95],{"categories":4901},[122],{"categories":4903},[98],{"categories":4905},[95],{"categories":4907},[],{"categories":4909},[],{"categories":4911},[95],{"categories":4913},[],{"categories":4915},[103],{"categories":4917},[95],{"categories":4919},[95],{"categories":4921},[108],{"categories":4923},[95],{"categories":4925},[146],{"categories":4927},[146],{"categories":4929},[146],{"categories":4931},[146],{"categories":4933},[],{"categories":4935},[98],{"categories":4937},[108],{"categories":4939},[146],{"categories":4941},[95],{"categories":4943},[602],{"categories":4945},[111],{"categories":4947},[108],{"categories":4949},[95],{"categories":4951},[98],{"categories":4953},[95],{"categories":4955},[108],{"categories":4957},[95],{"categories":4959},[95],{"categories":4961},[95],{"categories":4963},[95],{"categories":4965},[95,108],{"categories":4967},[108],{"categories":4969},[273],{"categories":4971},[146],{"categories":4973},[108],{"categories":4975},[146],{"categories":4977},[108],{"categories":4979},[95],{"categories":4981},[],{"categories":4983},[146],{"categories":4985},[232],{"categories":4987},[98],{"categories":4989},[95],{"categories":4991},[95],{"categories":4993},[],{"categories":4995},[122],{"categories":4997},[],{"categories":4999},[98],{"categories":5001},[108],{"categories":5003},[146],{"categories":5005},[95],{"categories":5007},[146],{"categories":5009},[98],{"categories":5011},[146],{"categories":5013},[146],{"categories":5015},[],{"categories":5017},[103],{"categories":5019},[108],{"categories":5021},[146],{"categories":5023},[146],{"categories":5025},[146],{"categories":5027},[146],{"categories":5029},[146],{"categories":5031},[146],{"categories":5033},[146],{"categories":5035},[146],{"categories":5037},[146],{"categories":5039},[146],{"categories":5041},[60],{"categories":5043},[98],{"categories":5045},[95],{"categories":5047},[95],{"categories":5049},[108],{"categories":5051},[108],{"categories":5053},[],{"categories":5055},[95],{"categories":5057},[95,98],{"categories":5059},[],{"categories":5061},[108],{"categories":5063},[95],{"categories":5065},[146],{"categories":5067},[108],{"categories":5069},[108],{"categories":5071},[941],{"categories":5073},[95],{"categories":5075},[95],{"categories":5077},[95],{"categories":5079},[95],{"categories":5081},[111],{"categories":5083},[95],{"categories":5085},[95],{"categories":5087},[379],{"categories":5089},[95],{"categories":5091},[95],{"categories":5093},[108],{"categories":5095},[95],{"categories":5097},[95],{"categories":5099},[95],{"categories":5101},[103],{"categories":5103},[111],{"categories":5105},[108],{"categories":5107},[108],{"categories":5109},[],{"categories":5111},[108],{"categories":5113},[201],{"categories":5115},[146],{"categories":5117},[95],{"categories":5119},[],{"categories":5121},[111],{"categories":5123},[],{"categories":5125},[122],{"categories":5127},[95],{"categories":5129},[108],{"categories":5131},[201],{"categories":5133},[95],{"categories":5135},[95],{"categories":5137},[],{"categories":5139},[95],{"categories":5141},[95],{"categories":5143},[],{"categories":5145},[232],{"categories":5147},[95],{"categories":5149},[108],{"categories":5151},[],{"categories":5153},[],{"categories":5155},[146],{"categories":5157},[98],{"categories":5159},[95],{"categories":5161},[95],{"categories":5163},[103],{"categories":5165},[95],{"categories":5167},[95],{"categories":5169},[108],{"categories":5171},[95],{"categories":5173},[103],{"categories":5175},[103],{"categories":5177},[201],{"categories":5179},[],{"categories":5181},[95],{"categories":5183},[146],{"categories":5185},[],{"categories":5187},[95],{"categories":5189},[95],{"categories":5191},[201],{"categories":5193},[95],{"categories":5195},[95],{"categories":5197},[232],{"categories":5199},[95],{"categories":5201},[273],{"categories":5203},[],{"categories":5205},[108],{"categories":5207},[95],{"categories":5209},[232],{"categories":5211},[122],{"categories":5213},[],{"categories":5215},[95],{"categories":5217},[],{"categories":5219},[108],{"categories":5221},[201],{"categories":5223},[122],{"categories":5225},[],{"categories":5227},[3319],{"categories":5229},[103],{"categories":5231},[98],{"categories":5233},[95],{"categories":5235},[60],{"categories":5237},[108],{"categories":5239},[201],{"categories":5241},[95],{"categories":5243},[95],{"categories":5245},[122],{"categories":5247},[],{"categories":5249},[],{"categories":5251},[95],{"categories":5253},[98],{"categories":5255},[95],{"categories":5257},[232],{"categories":5259},[],{"categories":5261},[108],{"categories":5263},[108],{"categories":5265},[95],{"categories":5267},[108],{"categories":5269},[95],{"categories":5271},[146],{"categories":5273},[95],{"categories":5275},[122],{"categories":5277},[95],{"categories":5279},[108],{"categories":5281},[111],{"categories":5283},[95],{"categories":5285},[95],{"categories":5287},[95],{"categories":5289},[95],{"categories":5291},[108],{"categories":5293},[95],{"categories":5295},[111],{"categories":5297},[232],{"categories":5299},[146],{"categories":5301},[],{"categories":5303},[232],{"categories":5305},[95],{"categories":5307},[],{"categories":5309},[122],{"categories":5311},[108],{"categories":5313},[],{"categories":5315},[95],{"categories":5317},[95],{"categories":5319},[95],{"categories":5321},[95],{"categories":5323},[95],{"categories":5325},[108],{"categories":5327},[103],{"categories":5329},[98],{"categories":5331},[95],{"categories":5333},[95],{"categories":5335},[108],{"categories":5337},[95],{"categories":5339},[201],{"categories":5341},[122],{"categories":5343},[122],{"categories":5345},[95],{"categories":5347},[60],{"categories":5349},[108],{"categories":5351},[95],{"categories":5353},[95],{"categories":5355},[108],{"categories":5357},[95],{"categories":5359},[95],{"categories":5361},[108],{"categories":5363},[103],{"categories":5365},[95],{"categories":5367},[201],{"categories":5369},[122],{"categories":5371},[108],{"categories":5373},[95],{"categories":5375},[111],{"categories":5377},[95],{"categories":5379},[108],{"categories":5381},[95],{"categories":5383},[95],{"categories":5385},[146],{"categories":5387},[95],{"categories":5389},[],{"categories":5391},[98],{"categories":5393},[95],{"categories":5395},[95],{"categories":5397},[95],{"categories":5399},[122],{"categories":5401},[122],{"categories":5403},[95],{"categories":5405},[122],{"categories":5407},[95],{"categories":5409},[108],{"categories":5411},[95],{"categories":5413},[95],{"categories":5415},[95],{"categories":5417},[95],{"categories":5419},[95],{"categories":5421},[],{"categories":5423},[95],{"categories":5425},[201],{"categories":5427},[108],{"categories":5429},[103],{"categories":5431},[146],{"categories":5433},[95],{"categories":5435},[108],{"categories":5437},[95],{"categories":5439},[108],{"categories":5441},[95],{"categories":5443},[95],{"categories":5445},[201],{"categories":5447},[108],{"categories":5449},[95],{"categories":5451},[232],{"categories":5453},[103],{"categories":5455},[95],{"categories":5457},[60],{"categories":5459},[95],{"categories":5461},[95],{"categories":5463},[146],{"categories":5465},[95],{"categories":5467},[95],{"categories":5469},[95],{"categories":5471},[95],{"categories":5473},[108],{"categories":5475},[273],{"categories":5477},[95],{"categories":5479},[122],{"categories":5481},[108],{"categories":5483},[60],{"categories":5485},[],{"categories":5487},[108],{"categories":5489},[122],{"categories":5491},[95],{"categories":5493},[95],{"categories":5495},[95],{"categories":5497},[2466],{"categories":5499},[95],{"categories":5501},[201],{"categories":5503},[308],{"categories":5505},[95],{"categories":5507},[95],{"categories":5509},[95],{"categories":5511},[95],{"categories":5513},[95],{"categories":5515},[98],{"categories":5517},[108],{"categories":5519},[95],{"categories":5521},[95],{"categories":5523},[122],{"categories":5525},[103],{"categories":5527},[95],{"categories":5529},[122],{"categories":5531},[95],{"categories":5533},[],{"categories":5535},[108],{"categories":5537},[108],{"categories":5539},[95],{"categories":5541},[95],{"categories":5543},[95],{"categories":5545},[60],{"categories":5547},[],{"categories":5549},[146],{"categories":5551},[],{"categories":5553},[146],{"categories":5555},[95],{"categories":5557},[95],{"categories":5559},[95],{"categories":5561},[108],{"categories":5563},[95],{"categories":5565},[108],{"categories":5567},[108],{"categories":5569},[],{"categories":5571},[95],{"categories":5573},[146],{"categories":5575},[95],{"categories":5577},[],{"categories":5579},[95],{"categories":5581},[95],{"categories":5583},[],{"categories":5585},[95],{"categories":5587},[95],{"categories":5589},[201],{"categories":5591},[122],{"categories":5593},[108],{"categories":5595},[95],{"categories":5597},[95],{"categories":5599},[95],{"categories":5601},[95],{"categories":5603},[232],{"categories":5605},[95],{"categories":5607},[95],{"categories":5609},[95],{"categories":5611},[98],{"categories":5613},[95],{"categories":5615},[95],{"categories":5617},[],{"categories":5619},[95],{"categories":5621},[95],{"categories":5623},[95],{"categories":5625},[],{"categories":5627},[98],{"categories":5629},[95],{"categories":5631},[95],{"categories":5633},[95],{"categories":5635},[146],{"categories":5637},[95],{"categories":5639},[122],{"categories":5641},[111],{"categories":5643},[108],{"categories":5645},[460],{"categories":5647},[95],{"categories":5649},[95],{"categories":5651},[95],{"categories":5653},[122],{"categories":5655},[146],{"categories":5657},[201],{"categories":5659},[95],{"categories":5661},[95],{"categories":5663},[95],{"categories":5665},[95],{"categories":5667},[95],{"categories":5669},[95],{"categories":5671},[146],{"categories":5673},[95],{"categories":5675},[201],{"categories":5677},[95],{"categories":5679},[95],{"categories":5681},[146],{"categories":5683},[201],{"categories":5685},[95],{"categories":5687},[146],{"categories":5689},[95],{"categories":5691},[108],{"categories":5693},[108],{"categories":5695},[108],{"categories":5697},[122],{"categories":5699},[146],{"categories":5701},[108],{"categories":5703},[108],{"categories":5705},[95],{"categories":5707},[122],{"categories":5709},[201],{"categories":5711},[95],{"categories":5713},[95],{"categories":5715},[108],{"categories":5717},[95],{"categories":5719},[],{"categories":5721},[108],{"categories":5723},[],{"categories":5725},[95],{"categories":5727},[95],{"categories":5729},[],{"categories":5731},[],{"categories":5733},[108],{"categories":5735},[103],{"categories":5737},[108],{"categories":5739},[5740],"Liability & Ethics",{"categories":5742},[95],{"categories":5744},[95],{"categories":5746},[95],{"categories":5748},[108],{"categories":5750},[98],{"categories":5752},[108],{"categories":5754},[103],{"categories":5756},[232],{"categories":5758},[95],{"categories":5760},[108],{"categories":5762},[95],{"categories":5764},[95],{"categories":5766},[95],{"categories":5768},[],{"categories":5770},[575],{"categories":5772},[108],{"categories":5774},[],{"categories":5776},[95],{"categories":5778},[98],{"categories":5780},[108],{"categories":5782},[95],{"categories":5784},[],{"categories":5786},[108],{"categories":5788},[95],{"categories":5790},[95],{"categories":5792},[122],{"categories":5794},[95],{"categories":5796},[146],{"categories":5798},[95],{"categories":5800},[95],{"categories":5802},[111],{"categories":5804},[95],{"categories":5806},[108],{"categories":5808},[95],{"categories":5810},[95],{"categories":5812},[95],{"categories":5814},[146],{"categories":5816},[108],{"categories":5818},[122],{"categories":5820},[201],{"categories":5822},[98],{"categories":5824},[95],{"categories":5826},[95],{"categories":5828},[95],{"categories":5830},[],{"categories":5832},[108],{"categories":5834},[108],{"categories":5836},[108],{"categories":5838},[460],{"categories":5840},[201],{"categories":5842},[108],{"categories":5844},[273],{"categories":5846},[122],{"categories":5848},[146],{"categories":5850},[95],{"categories":5852},[201],{"categories":5854},[95],{"categories":5856},[98],{"categories":5858},[],{"categories":5860},[108],{"categories":5862},[95],{"categories":5864},[95],{"categories":5866},[95],{"categories":5868},[95],{"categories":5870},[108],{"categories":5872},[95],{"categories":5874},[95],{"categories":5876},[201],{"categories":5878},[108],{"categories":5880},[],{"categories":5882},[108],{"categories":5884},[111],{"categories":5886},[95],{"categories":5888},[146],{"categories":5890},[108],{"categories":5892},[103],{"categories":5894},[],{"categories":5896},[95],{"categories":5898},[95],{"categories":5900},[111],{"categories":5902},[95],{"categories":5904},[108],{"categories":5906},[146],{"categories":5908},[98],{"categories":5910},[273],{"categories":5912},[95],{"categories":5914},[95],{"categories":5916},[95],{"categories":5918},[146],{"categories":5920},[103],{"categories":5922},[95],{"categories":5924},[201],{"categories":5926},[146],{"categories":5928},[273],{"categories":5930},[95],{"categories":5932},[108],{"categories":5934},[],{"categories":5936},[529],{"categories":5938},[],{"categories":5940},[95],{"categories":5942},[273],{"categories":5944},[95],{"categories":5946},[60],{"categories":5948},[95],{"categories":5950},[108],{"categories":5952},[108],{"categories":5954},[5955],"Design News & Tools",{"categories":5957},[95],{"categories":5959},[95],{"categories":5961},[146],{"categories":5963},[95],{"categories":5965},[95],{"categories":5967},[95],{"categories":5969},[98],{"categories":5971},[108],{"categories":5973},[95],{"categories":5975},[201],{"categories":5977},[108],{"categories":5979},[108],{"categories":5981},[201],{"categories":5983},[95],{"categories":5985},[95],{"categories":5987},[95],{"categories":5989},[460],{"categories":5991},[108],{"categories":5993},[95],{"categories":5995},[95],{"categories":5997},[95],{"categories":5999},[460],{"categories":6001},[95],{"categories":6003},[232],{"categories":6005},[95],{"categories":6007},[108],{"categories":6009},[],{"categories":6011},[95],{"categories":6013},[95],{"categories":6015},[95],{"categories":6017},[146],{"categories":6019},[95],{"categories":6021},[98],{"categories":6023},[],{"categories":6025},[95],{"categories":6027},[95],{"categories":6029},[95],{"categories":6031},[122],{"categories":6033},[602],{"categories":6035},[122],{"categories":6037},[201],{"categories":6039},[95],{"categories":6041},[95,108],{"categories":6043},[232,103],{"categories":6045},[122],{"categories":6047},[95],{"categories":6049},[95],{"categories":6051},[95],{"categories":6053},[95],{"categories":6055},[],{"categories":6057},[122],{"categories":6059},[108],{"categories":6061},[95],{"categories":6063},[95],{"categories":6065},[],{"categories":6067},[95],{"categories":6069},[122],{"categories":6071},[95],{"categories":6073},[122],{"categories":6075},[95],{"categories":6077},[],{"categories":6079},[108],{"categories":6081},[95],{"categories":6083},[103],{"categories":6085},[95],{"categories":6087},[146],{"categories":6089},[95],{"categories":6091},[],{"categories":6093},[95],{"categories":6095},[108],{"categories":6097},[95],{"categories":6099},[],{"categories":6101},[201],{"categories":6103},[95],{"categories":6105},[95],{"categories":6107},[108],{"categories":6109},[95],{"categories":6111},[95],{"categories":6113},[95],{"categories":6115},[98],{"categories":6117},[95],{"categories":6119},[108],{"categories":6121},[95],{"categories":6123},[],{"categories":6125},[95],{"categories":6127},[273],{"categories":6129},[232],{"categories":6131},[103],{"categories":6133},[103],{"categories":6135},[95],{"categories":6137},[98],{"categories":6139},[98],{"categories":6141},[95],{"categories":6143},[108],{"categories":6145},[95],{"categories":6147},[95],{"categories":6149},[95],{"categories":6151},[95],{"categories":6153},[122],{"categories":6155},[95],{"categories":6157},[98],{"categories":6159},[95],{"categories":6161},[95],{"categories":6163},[108],{"categories":6165},[95],{"categories":6167},[232],{"categories":6169},[95],{"categories":6171},[146],{"categories":6173},[95],{"categories":6175},[95],{"categories":6177},[108],{"categories":6179},[111],{"categories":6181},[95],{"categories":6183},[108],{"categories":6185},[95],{"categories":6187},[108],{"categories":6189},[],{"categories":6191},[122],{"categories":6193},[],{"categories":6195},[122],{"categories":6197},[108],{"categories":6199},[98],{"categories":6201},[95],{"categories":6203},[],{"categories":6205},[60],{"categories":6207},[273],{"categories":6209},[95],{"categories":6211},[122],{"categories":6213},[95],{"categories":6215},[],{"categories":6217},[146],{"categories":6219},[108],{"categories":6221},[122],{"categories":6223},[201],{"categories":6225},[103],{"categories":6227},[95],{"categories":6229},[95],{"categories":6231},[108],{"categories":6233},[122],{"categories":6235},[108],{"categories":6237},[146],{"categories":6239},[95],{"categories":6241},[111],{"categories":6243},[98],{"categories":6245},[111],{"categories":6247},[146],{"categories":6249},[95],{"categories":6251},[122],{"categories":6253},[95],{"categories":6255},[201],{"categories":6257},[103],{"categories":6259},[95],{"categories":6261},[95],{"categories":6263},[95],{"categories":6265},[95],{"categories":6267},[95],{"categories":6269},[95],{"categories":6271},[108],{"categories":6273},[95],{"categories":6275},[95],{"categories":6277},[108],{"categories":6279},[95],{"categories":6281},[95],{"categories":6283},[98],{"categories":6285},[95],{"categories":6287},[108],{"categories":6289},[108],{"categories":6291},[201],{"categories":6293},[108],{"categories":6295},[95],{"categories":6297},[108],{"categories":6299},[95],{"categories":6301},[98],{"categories":6303},[108],{"categories":6305},[201],{"categories":6307},[],{"categories":6309},[95],{"categories":6311},[60],{"categories":6313},[460],{"categories":6315},[95],{"categories":6317},[108],{"categories":6319},[95],{"categories":6321},[95],{"categories":6323},[122],{"categories":6325},[95],{"categories":6327},[],{"categories":6329},[95],{"categories":6331},[108],{"categories":6333},[95],{"categories":6335},[232],{"categories":6337},[201],{"categories":6339},[95],{"categories":6341},[122],{"categories":6343},[95],{"categories":6345},[146],{"categories":6347},[108],{"categories":6349},[95],{"categories":6351},[232],{"categories":6353},[108],{"categories":6355},[103],{"categories":6357},[103],{"categories":6359},[95],{"categories":6361},[95],{"categories":6363},[95],{"categories":6365},[95],{"categories":6367},[95],{"categories":6369},[95],{"categories":6371},[98],{"categories":6373},[95],{"categories":6375},[],{"categories":6377},[95],{"categories":6379},[95],{"categories":6381},[108],{"categories":6383},[95],{"categories":6385},[108],{"categories":6387},[95],{"categories":6389},[95],{"categories":6391},[95],{"categories":6393},[95],{"categories":6395},[95],{"categories":6397},[95],{"categories":6399},[122],{"categories":6401},[],{"categories":6403},[98],{"categories":6405},[95],{"categories":6407},[95],{"categories":6409},[108],{"categories":6411},[108],{"categories":6413},[],{"categories":6415},[122],{"categories":6417},[122],{"categories":6419},[95],{"categories":6421},[232],{"categories":6423},[103],{"categories":6425},[201],{"categories":6427},[95],{"categories":6429},[],{"categories":6431},[95],{"categories":6433},[108],{"categories":6435},[98],{"categories":6437},[95],{"categories":6439},[95],{"categories":6441},[122],{"categories":6443},[98],{"categories":6445},[95],{"categories":6447},[95],{"categories":6449},[146],{"categories":6451},[60],{"categories":6453},[95],{"categories":6455},[146],{"categories":6457},[108],{"categories":6459},[95],{"categories":6461},[],{"categories":6463},[146],{"categories":6465},[108],{"categories":6467},[201],{"categories":6469},[60],{"categories":6471},[95],{"categories":6473},[95],{"categories":6475},[95],{"categories":6477},[],{"categories":6479},[108],{"categories":6481},[108],{"categories":6483},[108],{"categories":6485},[3319],{"categories":6487},[146],{"categories":6489},[95],{"categories":6491},[122],{"categories":6493},[95],{"categories":6495},[95],{"categories":6497},[95],{"categories":6499},[95],{"categories":6501},[95],{"categories":6503},[108],{"categories":6505},[95],{"categories":6507},[103],{"categories":6509},[95],{"categories":6511},[98],{"categories":6513},[1890],{"categories":6515},[273],{"categories":6517},[98],{"categories":6519},[],{"categories":6521},[95],{"categories":6523},[],{"categories":6525},[95],{"categories":6527},[146],{"categories":6529},[108],{"categories":6531},[201],{"categories":6533},[95],{"categories":6535},[95],{"categories":6537},[95],{"categories":6539},[95],{"categories":6541},[95],{"categories":6543},[146],{"categories":6545},[],{"categories":6547},[108],{"categories":6549},[95],{"categories":6551},[108],{"categories":6553},[108],{"categories":6555},[],{"categories":6557},[95],{"categories":6559},[],{"categories":6561},[146],{"categories":6563},[98],{"categories":6565},[95],{"categories":6567},[201],{"categories":6569},[95],{"categories":6571},[108],{"categories":6573},[146],{"categories":6575},[95],{"categories":6577},[146],{"categories":6579},[],{"categories":6581},[146],{"categories":6583},[95],{"categories":6585},[98],{"categories":6587},[108],{"categories":6589},[460],{"categories":6591},[108],{"categories":6593},[95],{"categories":6595},[],{"categories":6597},[122],{"categories":6599},[108],{"categories":6601},[111],{"categories":6603},[108],{"categories":6605},[98],{"categories":6607},[95],{"categories":6609},[95],{"categories":6611},[],{"categories":6613},[],{"categories":6615},[],{"categories":6617},[201],{"categories":6619},[95],{"categories":6621},[108],{"categories":6623},[95],{"categories":6625},[95],{"categories":6627},[],{"categories":6629},[],{"categories":6631},[],{"categories":6633},[95],{"categories":6635},[108],{"categories":6637},[201],{"categories":6639},[95],{"categories":6641},[],{"categories":6643},[108],{"categories":6645},[95],{"categories":6647},[95],{"categories":6649},[98],{"categories":6651},[],{"categories":6653},[],{"categories":6655},[95],{"categories":6657},[95],{"categories":6659},[108],{"categories":6661},[201],{"categories":6663},[95],{"categories":6665},[146],{"categories":6667},[],{"categories":6669},[95],{"categories":6671},[95],{"categories":6673},[232],{"categories":6675},[146],{"categories":6677},[232],{"categories":6679},[122],{"categories":6681},[60],{"categories":6683},[95],{"categories":6685},[95],{"categories":6687},[],{"categories":6689},[],{"categories":6691},[108],{"categories":6693},[],{"categories":6695},[95],{"categories":6697},[460],{"categories":6699},[95],{"categories":6701},[95],{"categories":6703},[95],{"categories":6705},[95],{"categories":6707},[],{"categories":6709},[108],{"categories":6711},[95],{"categories":6713},[95],{"categories":6715},[],{"categories":6717},[108],{"categories":6719},[108],{"categories":6721},[95],{"categories":6723},[146],{"categories":6725},[95],{"categories":6727},[232],{"categories":6729},[95],{"categories":6731},[108],{"categories":6733},[103],{"categories":6735},[111],{"categories":6737},[95],{"categories":6739},[95],{"categories":6741},[108],{"categories":6743},[60],{"categories":6745},[108],{"categories":6747},[108],{"categories":6749},[],{"categories":6751},[95],{"categories":6753},[108],{"categories":6755},[],{"categories":6757},[95],{"categories":6759},[],{"categories":6761},[146],{"categories":6763},[103],{"categories":6765},[],{"categories":6767},[95],{"categories":6769},[95],{"categories":6771},[95],{"categories":6773},[],{"categories":6775},[108],{"categories":6777},[201],{"categories":6779},[98],{"categories":6781},[95],{"categories":6783},[],{"categories":6785},[103],{"categories":6787},[232],{"categories":6789},[95],{"categories":6791},[122],{"categories":6793},[98],{"categories":6795},[60],{"categories":6797},[103],{"categories":6799},[122],{"categories":6801},[108],{"categories":6803},[122],{"categories":6805},[],{"categories":6807},[95],{"categories":6809},[111],{"categories":6811},[111],{"categories":6813},[95],{"categories":6815},[],{"categories":6817},[108],{"categories":6819},[108],{"categories":6821},[98],{"categories":6823},[201],{"categories":6825},[95],{"categories":6827},[98],{"categories":6829},[108],{"categories":6831},[273],{"categories":6833},[95],{"categories":6835},[95],{"categories":6837},[95],{"categories":6839},[95],{"categories":6841},[95],{"categories":6843},[98],{"categories":6845},[95],{"categories":6847},[122],{"categories":6849},[60],{"categories":6851},[108],{"categories":6853},[],{"categories":6855},[95],{"categories":6857},[95],{"categories":6859},[95],{"categories":6861},[122],{"categories":6863},[108],{"categories":6865},[146],{"categories":6867},[122],{"categories":6869},[95],{"categories":6871},[111],{"categories":6873},[],{"categories":6875},[201],{"categories":6877},[122],{"categories":6879},[146],{"categories":6881},[95],{"categories":6883},[98],{"categories":6885},[108],{"categories":6887},[95],{"categories":6889},[95],{"categories":6891},[108],{"categories":6893},[111],{"categories":6895},[95],{"categories":6897},[108],{"categories":6899},[95],{"categories":6901},[103],{"categories":6903},[95],{"categories":6905},[108],{"categories":6907},[108,273],{"categories":6909},[95],{"categories":6911},[95],{"categories":6913},[108],{"categories":6915},[122],{"categories":6917},[95],{"categories":6919},[95],{"categories":6921},[60],{"categories":6923},[108],{"categories":6925},[232],{"categories":6927},[108],{"categories":6929},[103],{"categories":6931},[],{"categories":6933},[108],{"categories":6935},[95],{"categories":6937},[103],{"categories":6939},[],{"categories":6941},[],{"categories":6943},[95],{"categories":6945},[122],{"categories":6947},[95],{"categories":6949},[95],{"categories":6951},[108],{"categories":6953},[60],{"categories":6955},[232],{"categories":6957},[95],{"categories":6959},[95],{"categories":6961},[95],{"categories":6963},[95],{"categories":6965},[108],{"categories":6967},[],{"categories":6969},[108],{"categories":6971},[146],{"categories":6973},[95],{"categories":6975},[108],{"categories":6977},[108],{"categories":6979},[95],{"categories":6981},[],{"categories":6983},[146],{"categories":6985},[122],{"categories":6987},[3319],{"categories":6989},[98],{"categories":6991},[122],{"categories":6993},[95],{"categories":6995},[108],{"categories":6997},[95],{"categories":6999},[95],{"categories":7001},[232],{"categories":7003},[122],{"categories":7005},[60],{"categories":7007},[],{"categories":7009},[146],{"categories":7011},[95],{"categories":7013},[95],{"categories":7015},[],{"categories":7017},[108],{"categories":7019},[95],{"categories":7021},[95],{"categories":7023},[95],{"categories":7025},[95],{"categories":7027},[108],{"categories":7029},[95],{"categories":7031},[95],{"categories":7033},[95],{"categories":7035},[111],{"categories":7037},[95],{"categories":7039},[108],{"categories":7041},[95],{"categories":7043},[95],{"categories":7045},[95],{"categories":7047},[95],{"categories":7049},[95],{"categories":7051},[95],{"categories":7053},[95],{"categories":7055},[103],{"categories":7057},[],{"categories":7059},[111],{"categories":7061},[95],{"categories":7063},[146],{"categories":7065},[108],{"categories":7067},[95],{"categories":7069},[122],{"categories":7071},[],{"categories":7073},[122],{"categories":7075},[122],{"categories":7077},[108],{"categories":7079},[122],{"categories":7081},[95],{"categories":7083},[95],{"categories":7085},[95],{"categories":7087},[108],{"categories":7089},[122],{"categories":7091},[95],{"categories":7093},[95],{"categories":7095},[95],{"categories":7097},[108],{"categories":7099},[146],{"categories":7101},[95],{"categories":7103},[95],{"categories":7105},[95],{"categories":7107},[103],{"categories":7109},[95],{"categories":7111},[108],{"categories":7113},[201],{"categories":7115},[],{"categories":7117},[95],{"categories":7119},[95],{"categories":7121},[60],{"categories":7123},[95],{"categories":7125},[108],{"categories":7127},[95],{"categories":7129},[95],{"categories":7131},[],{"categories":7133},[95],{"categories":7135},[95],{"categories":7137},[146],{"categories":7139},[95],{"categories":7141},[95],{"categories":7143},[108],{"categories":7145},[232],{"categories":7147},[],{"categories":7149},[],{"categories":7151},[122],{"categories":7153},[95],{"categories":7155},[95],{"categories":7157},[146],{"categories":7159},[95],{"categories":7161},[122],{"categories":7163},[146],{"categories":7165},[95],{"categories":7167},[95],{"categories":7169},[232],{"categories":7171},[60],{"categories":7173},[95],{"categories":7175},[95],{"categories":7177},[98],{"categories":7179},[108],{"categories":7181},[95],{"categories":7183},[95],{"categories":7185},[108],{"categories":7187},[103],{"categories":7189},[108],{"categories":7191},[122],{"categories":7193},[95],{"categories":7195},[103],{"categories":7197},[],{"categories":7199},[95],{"categories":7201},[60],{"categories":7203},[95],{"categories":7205},[95],{"categories":7207},[],{"categories":7209},[146],{"categories":7211},[95],{"categories":7213},[108],{"categories":7215},[60],{"categories":7217},[95],{"categories":7219},[122],{"categories":7221},[122],{"categories":7223},[122],{"categories":7225},[95],{"categories":7227},[108],{"categories":7229},[108],{"categories":7231},[95],{"categories":7233},[108],{"categories":7235},[95],{"categories":7237},[95],{"categories":7239},[201],{"categories":7241},[60],{"categories":7243},[60],{"categories":7245},[],{"categories":7247},[146],{"categories":7249},[95],{"categories":7251},[95],{"categories":7253},[122],{"categories":7255},[],{"categories":7257},[146],{"categories":7259},[146],{"categories":7261},[146],{"categories":7263},[],{"categories":7265},[108],{"categories":7267},[95],{"categories":7269},[],{"categories":7271},[98],{"categories":7273},[103],{"categories":7275},[],{"categories":7277},[95],{"categories":7279},[95],{"categories":7281},[],{"categories":7283},[122],{"categories":7285},[],{"categories":7287},[],{"categories":7289},[],{"categories":7291},[],{"categories":7293},[95],{"categories":7295},[146],{"categories":7297},[],{"categories":7299},[],{"categories":7301},[95],{"categories":7303},[95],{"categories":7305},[95],{"categories":7307},[60],{"categories":7309},[95],{"categories":7311},[60],{"categories":7313},[],{"categories":7315},[60],{"categories":7317},[60],{"categories":7319},[273],{"categories":7321},[108],{"categories":7323},[122],{"categories":7325},[],{"categories":7327},[],{"categories":7329},[60],{"categories":7331},[122],{"categories":7333},[122],{"categories":7335},[122],{"categories":7337},[],{"categories":7339},[98],{"categories":7341},[122],{"categories":7343},[122],{"categories":7345},[98],{"categories":7347},[122],{"categories":7349},[103],{"categories":7351},[122],{"categories":7353},[122],{"categories":7355},[122],{"categories":7357},[60],{"categories":7359},[146],{"categories":7361},[146],{"categories":7363},[95],{"categories":7365},[122],{"categories":7367},[60],{"categories":7369},[273],{"categories":7371},[60],{"categories":7373},[60],{"categories":7375},[60],{"categories":7377},[],{"categories":7379},[103],{"categories":7381},[],{"categories":7383},[273],{"categories":7385},[122],{"categories":7387},[122],{"categories":7389},[122],{"categories":7391},[108],{"categories":7393},[146,103],{"categories":7395},[60],{"categories":7397},[],{"categories":7399},[],{"categories":7401},[60],{"categories":7403},[],{"categories":7405},[60],{"categories":7407},[146],{"categories":7409},[108],{"categories":7411},[],{"categories":7413},[122],{"categories":7415},[95],{"categories":7417},[201],{"categories":7419},[],{"categories":7421},[95],{"categories":7423},[],{"categories":7425},[146],{"categories":7427},[98],{"categories":7429},[60],{"categories":7431},[],{"categories":7433},[122],{"categories":7435},[146],[7437,7514,7594,7673],{"id":7438,"title":7439,"ai":7440,"body":7445,"categories":7494,"created_at":61,"date_modified":61,"description":53,"extension":62,"faq":61,"featured":63,"kicker_label":61,"meta":7495,"navigation":76,"path":7504,"published_at":7505,"question":61,"scraped_at":7505,"seo":7506,"sitemap":7507,"source_id":7508,"source_name":82,"source_type":83,"source_url":7499,"stem":7509,"tags":7510,"thumbnail_url":61,"tldr":7511,"tweet":61,"unknown_tags":7512,"__hash__":7513},"summaries\u002Fsummaries\u002F1c051b52fb78b1b8-composable-trust-infrastructure-for-manufacturing--summary.md","Composable Trust Infrastructure for Manufacturing Knowledge Graphs",{"provider":7,"model":8,"input_tokens":7441,"output_tokens":7442,"processing_time_ms":7443,"cost_usd":7444},4011,577,3823,0.00186825,{"type":14,"value":7446,"toc":7489},[7447,7451,7454,7458,7461,7482,7486],[17,7448,7450],{"id":7449},"establishing-trust-in-industrial-knowledge-graphs","Establishing Trust in Industrial Knowledge Graphs",[22,7452,7453],{},"The paper addresses the critical challenge of maintaining data integrity and decision transparency within complex manufacturing environments. As industrial systems increasingly rely on knowledge graphs to synthesize data from disparate sources, the lack of standardized provenance and temporal tracking creates significant barriers to operational trust. The proposed 'Composable Trust Infrastructure' provides a modular architecture designed to verify the lineage of data points across heterogeneous systems, ensuring that AI-driven decisions are both explainable and auditable.",[17,7455,7457],{"id":7456},"core-components-of-the-trust-framework","Core Components of the Trust Framework",[22,7459,7460],{},"To achieve reliable decision traceability, the framework focuses on three primary pillars:",[33,7462,7463,7470,7476],{},[36,7464,7465,7469],{},[7466,7467,7468],"strong",{},"Cross-System Provenance:"," By implementing a unified metadata layer, the system tracks the origin and transformation history of data as it moves between ERP, MES, and IoT sensors. This prevents 'black box' scenarios where the source of a faulty manufacturing parameter remains unknown.",[36,7471,7472,7475],{},[7466,7473,7474],{},"Temporal Reasoning:"," The architecture incorporates time-aware graph structures that allow for the reconstruction of system states at any specific point in history. This is essential for root-cause analysis, enabling engineers to correlate past machine states with current performance anomalies.",[36,7477,7478,7481],{},[7466,7479,7480],{},"Decision Traceability:"," The framework maps automated decisions back to the specific data inputs and logic models used at the time of execution. By creating a verifiable audit trail, the system ensures that AI recommendations in high-stakes manufacturing environments meet safety and compliance standards.",[17,7483,7485],{"id":7484},"practical-implementation-and-trade-offs","Practical Implementation and Trade-offs",[22,7487,7488],{},"The authors emphasize that building this infrastructure requires a balance between granularity and system performance. While high-fidelity provenance tracking provides maximum transparency, it introduces overhead in data storage and query latency. The paper suggests a tiered approach where critical process parameters receive full temporal logging, while auxiliary data is handled with lighter-weight metadata schemas. This modularity allows manufacturers to scale their trust infrastructure according to the criticality of the specific production line or process.",{"title":53,"searchDepth":54,"depth":54,"links":7490},[7491,7492,7493],{"id":7449,"depth":54,"text":7450},{"id":7456,"depth":54,"text":7457},{"id":7484,"depth":54,"text":7485},[95],{"content_references":7496,"triage":7500},[7497],{"type":67,"title":7498,"url":7499,"context":70},"Composable Trust Infrastructure for Manufacturing Knowledge Graphs: Cross-System Provenance, Temporal Reasoning, and Decision Traceability","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.21418",{"relevance":7501,"novelty":73,"quality":73,"actionability":54,"composite":7502,"reasoning":7503},3,3.25,"Category: Data Science & Visualization. The article discusses a framework for enhancing trust in manufacturing knowledge graphs, which is relevant to data integrity and decision transparency in AI applications. However, while it presents novel insights into the components of the trust framework, it lacks specific actionable steps for implementation that the target audience could directly apply.","\u002Fsummaries\u002F1c051b52fb78b1b8-composable-trust-infrastructure-for-manufacturing-summary","2026-08-26 03:10:17",{"title":7439,"description":53},{"loc":7504},"1c051b52fb78b1b8","summaries\u002F1c051b52fb78b1b8-composable-trust-infrastructure-for-manufacturing--summary",[86,88,87],"This paper proposes a framework for integrating cross-system provenance, temporal reasoning, and decision traceability into manufacturing knowledge graphs to ensure reliable AI-driven industrial operations.",[],"kVAX_p5RCt_O0yLk_KA8L-I28anF4CR46sacB3GkMn4",{"id":7515,"title":7516,"ai":7517,"body":7522,"categories":7570,"created_at":61,"date_modified":61,"description":53,"extension":62,"faq":61,"featured":63,"kicker_label":61,"meta":7571,"navigation":76,"path":7582,"published_at":7583,"question":61,"scraped_at":7583,"seo":7584,"sitemap":7585,"source_id":7586,"source_name":82,"source_type":83,"source_url":7587,"stem":7588,"tags":7589,"thumbnail_url":61,"tldr":7591,"tweet":61,"unknown_tags":7592,"__hash__":7593},"summaries\u002Fsummaries\u002Fe5ea38903aeeb59f-scilitbench-evaluating-llms-for-systematic-literat-summary.md","SciLitBench: Evaluating LLMs for Systematic Literature Reviews",{"provider":7,"model":8,"input_tokens":7518,"output_tokens":7519,"processing_time_ms":7520,"cost_usd":7521},4064,606,3531,0.001925,{"type":14,"value":7523,"toc":7565},[7524,7528,7531,7535,7538,7558,7562],[17,7525,7527],{"id":7526},"benchmarking-llm-performance-in-systematic-reviews","Benchmarking LLM Performance in Systematic Reviews",[22,7529,7530],{},"Systematic literature reviews (SLRs) are foundational to scientific progress but are notoriously labor-intensive and prone to human bias. SciLitBench introduces a comprehensive evaluation framework designed to measure how effectively Large Language Models (LLMs) can automate the core stages of an SLR: study screening, data extraction, and synthesis. The benchmark highlights that while LLMs show promise in processing large volumes of text, they frequently struggle with the nuanced reasoning required to distinguish between relevant and irrelevant studies based on strict inclusion\u002Fexclusion criteria.",[17,7532,7534],{"id":7533},"design-principles-for-ai-powered-literature-synthesis","Design Principles for AI-Powered Literature Synthesis",[22,7536,7537],{},"The authors propose a set of design principles for building robust AI-powered review tools, emphasizing that performance is not just a matter of model scale but of architectural approach. Key takeaways include:",[33,7539,7540,7546,7552],{},[36,7541,7542,7545],{},[7466,7543,7544],{},"Multi-Stage Verification:"," LLMs should not be used as monolithic black boxes. Instead, systems should employ a multi-stage pipeline where models perform initial filtering followed by a secondary verification step to reduce hallucinated inclusions.",[36,7547,7548,7551],{},[7466,7549,7550],{},"Evidence-Based Prompting:"," Performance improves significantly when prompts are structured to force the model to cite specific sections of the source text before making a classification decision. This 'chain-of-thought' approach is essential for auditability in scientific contexts.",[36,7553,7554,7557],{},[7466,7555,7556],{},"Handling Ambiguity:"," The research demonstrates that LLMs often fail when inclusion criteria are ambiguous. Designing systems that flag 'uncertain' cases for human intervention—rather than forcing a binary decision—is critical for maintaining the integrity of the review process.",[17,7559,7561],{"id":7560},"bridging-the-gap-between-automation-and-rigor","Bridging the Gap Between Automation and Rigor",[22,7563,7564],{},"The study underscores that current LLM-based tools often prioritize speed over the rigorous reproducibility required for academic publishing. By providing a standardized dataset and evaluation metrics, SciLitBench allows developers to quantify the trade-offs between automation and accuracy. The authors argue that for AI to be a reliable partner in systematic reviews, developers must shift focus from general-purpose reasoning to domain-specific extraction accuracy and strict adherence to predefined research protocols.",{"title":53,"searchDepth":54,"depth":54,"links":7566},[7567,7568,7569],{"id":7526,"depth":54,"text":7527},{"id":7533,"depth":54,"text":7534},{"id":7560,"depth":54,"text":7561},[95],{"content_references":7572,"triage":7579},[7573],{"type":7574,"title":7575,"author":7576,"url":7577,"context":7578},"other","SciLitBench: Benchmark and Design Principles for LLM-Powered Systematic Literature Reviews","linlab","https:\u002F\u002Fgithub.com\u002Flinlab\u002FSciLitBench","mentioned",{"relevance":73,"novelty":73,"quality":73,"actionability":7501,"composite":7580,"reasoning":7581},3.8,"Category: AI & LLMs. The article discusses a framework for evaluating LLMs in systematic literature reviews, addressing a specific pain point regarding the effectiveness of AI in academic contexts. It provides actionable insights on design principles for AI tools, though it lacks detailed step-by-step guidance for implementation.","\u002Fsummaries\u002Fe5ea38903aeeb59f-scilitbench-evaluating-llms-for-systematic-literat-summary","2026-09-11 03:12:23",{"title":7516,"description":53},{"loc":7582},"e5ea38903aeeb59f","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.05505","summaries\u002Fe5ea38903aeeb59f-scilitbench-evaluating-llms-for-systematic-literat-summary",[7590,88,86,87],"llm","SciLitBench provides a standardized benchmark and design framework for evaluating how LLMs perform in systematic literature reviews, identifying critical gaps in reasoning and evidence extraction for scientific research.",[],"FQVt4PEsT3VtvJxZzOTQPlxCmf4ZZdjcnmVNOjWsnOg",{"id":7595,"title":7596,"ai":7597,"body":7602,"categories":7653,"created_at":61,"date_modified":61,"description":53,"extension":62,"faq":61,"featured":63,"kicker_label":61,"meta":7654,"navigation":76,"path":7662,"published_at":7663,"question":61,"scraped_at":7663,"seo":7664,"sitemap":7665,"source_id":7666,"source_name":82,"source_type":83,"source_url":7658,"stem":7667,"tags":7668,"thumbnail_url":61,"tldr":7670,"tweet":61,"unknown_tags":7671,"__hash__":7672},"summaries\u002Fsummaries\u002F842ce3ff4641859b-scientific-data-skills-enabling-agent-ready-data-s-summary.md","Scientific Data Skills: Enabling Agent-Ready Data Services",{"provider":7,"model":8,"input_tokens":7598,"output_tokens":7599,"processing_time_ms":7600,"cost_usd":7601},3991,617,3649,0.00192325,{"type":14,"value":7603,"toc":7648},[7604,7608,7611,7615,7618,7638,7641,7645],[17,7605,7607],{"id":7606},"the-shift-to-agent-ready-data-architectures","The Shift to Agent-Ready Data Architectures",[22,7609,7610],{},"Scientific research is increasingly reliant on AI agents capable of navigating vast, heterogeneous data landscapes. However, current data services are primarily designed for human consumption or static programmatic access, lacking the semantic richness required for autonomous agents to perform complex tasks. The core argument is that scientific data services must evolve into 'agent-ready' systems by implementing 'Scientific Data Skills'—a framework that treats data access as a set of modular, discoverable, and executable capabilities.",[17,7612,7614],{"id":7613},"defining-scientific-data-skills","Defining Scientific Data Skills",[22,7616,7617],{},"Scientific Data Skills represent a paradigm shift from passive data retrieval to active, capability-based interaction. Instead of providing a generic API endpoint, a service exposes a set of 'skills' that define what an agent can do with the data. These skills include:",[33,7619,7620,7626,7632],{},[36,7621,7622,7625],{},[7466,7623,7624],{},"Semantic Discovery:"," Providing metadata that allows agents to understand the context, provenance, and limitations of a dataset without human intervention.",[36,7627,7628,7631],{},[7466,7629,7630],{},"Autonomous Querying:"," Exposing structured interfaces that allow agents to dynamically construct queries based on high-level research goals rather than hardcoded parameters.",[36,7633,7634,7637],{},[7466,7635,7636],{},"Capability Negotiation:"," Enabling agents to query the service about its own limitations and supported operations, allowing for robust error handling and adaptive task planning.",[22,7639,7640],{},"By formalizing these interactions, researchers can build pipelines where agents autonomously chain together multiple data services to perform multi-step scientific discovery, such as cross-referencing genomic data with clinical trial outcomes or synthesizing material properties from disparate experimental databases.",[17,7642,7644],{"id":7643},"scaling-through-standardization","Scaling Through Standardization",[22,7646,7647],{},"The authors emphasize that the scalability of this approach depends on the adoption of standardized interfaces. Without a common protocol for how agents 'talk' to data services, the ecosystem remains fragmented. The proposed framework advocates for a modular architecture where data providers can wrap existing legacy databases in an agent-ready layer, effectively 'skill-enabling' them without requiring a complete overhaul of the underlying storage infrastructure. This allows for a decentralized network of scientific data services that can be discovered and utilized by general-purpose AI agents, significantly lowering the barrier to entry for automated scientific workflows.",{"title":53,"searchDepth":54,"depth":54,"links":7649},[7650,7651,7652],{"id":7606,"depth":54,"text":7607},{"id":7613,"depth":54,"text":7614},{"id":7643,"depth":54,"text":7644},[95],{"content_references":7655,"triage":7659},[7656],{"type":67,"title":7657,"url":7658,"context":70},"Scientific Data Skills: Enabling Agent-Ready Scientific Data Services at Scale","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.19625",{"relevance":72,"novelty":73,"quality":73,"actionability":7501,"composite":7660,"reasoning":7661},4.15,"Category: AI & LLMs. The article discusses the concept of 'Scientific Data Skills' which is directly relevant to building AI-powered products by enhancing data services for autonomous agents. It presents a novel framework for data interaction that could significantly impact how AI agents operate with complex datasets, although it lacks specific implementation steps for immediate action.","\u002Fsummaries\u002F842ce3ff4641859b-scientific-data-skills-enabling-agent-ready-data-s-summary","2026-08-22 03:10:22",{"title":7596,"description":53},{"loc":7662},"842ce3ff4641859b","summaries\u002F842ce3ff4641859b-scientific-data-skills-enabling-agent-ready-data-s-summary",[86,7669,87,88],"agents","To make scientific data usable by AI agents at scale, data services must move beyond simple APIs and adopt 'Scientific Data Skills'—standardized, machine-interpretable interfaces that allow agents to discover, query, and manipulate complex datasets autonomously.",[],"Ud6jcG2VAGNmLPw7_HG3nMwmlBH-g8QluYMOjH86l54",{"id":7674,"title":7675,"ai":7676,"body":7681,"categories":7732,"created_at":61,"date_modified":61,"description":53,"extension":62,"faq":61,"featured":63,"kicker_label":61,"meta":7733,"navigation":76,"path":7741,"published_at":7742,"question":61,"scraped_at":7742,"seo":7743,"sitemap":7744,"source_id":7745,"source_name":82,"source_type":83,"source_url":7737,"stem":7746,"tags":7747,"thumbnail_url":61,"tldr":7748,"tweet":61,"unknown_tags":7749,"__hash__":7750},"summaries\u002Fsummaries\u002Feb6152fc659950a2-semplan-a-benchmark-for-structured-semantic-planni-summary.md","SemPlan: A Benchmark for Structured Semantic Planning in Enterprise Data",{"provider":7,"model":8,"input_tokens":7677,"output_tokens":7678,"processing_time_ms":7679,"cost_usd":7680},4058,545,2563,0.001832,{"type":14,"value":7682,"toc":7727},[7683,7687,7690,7694,7697,7717,7720,7724],[17,7684,7686],{"id":7685},"the-challenge-of-enterprise-data-querying","The Challenge of Enterprise Data Querying",[22,7688,7689],{},"Modern enterprise data environments often involve complex, multi-step reasoning tasks that standard Retrieval-Augmented Generation (RAG) pipelines struggle to handle. While RAG is effective for simple information retrieval, it frequently fails when a query requires decomposing a request into a sequence of operations, managing dependencies between data sources, or ensuring structural consistency in the output. SemPlan (Structured Semantic Planning) is proposed as a benchmark to evaluate how well LLMs can plan and execute these complex, multi-step queries over structured enterprise datasets.",[17,7691,7693],{"id":7692},"evaluating-structured-semantic-planning","Evaluating Structured Semantic Planning",[22,7695,7696],{},"The SemPlan benchmark focuses on the ability of models to transition from natural language intent to a formal, executable plan. The research highlights that successful enterprise AI requires more than just high-quality retrieval; it demands a robust 'planning' layer that can:",[33,7698,7699,7705,7711],{},[36,7700,7701,7704],{},[7466,7702,7703],{},"Decompose Queries:"," Break down high-level user requests into atomic, logical steps.",[36,7706,7707,7710],{},[7466,7708,7709],{},"Maintain Semantic Context:"," Ensure that intermediate results from one step are correctly passed and interpreted by the next.",[36,7712,7713,7716],{},[7466,7714,7715],{},"Adhere to Schema Constraints:"," Generate plans that are syntactically and semantically valid according to the underlying enterprise data schema.",[22,7718,7719],{},"By providing a standardized set of tasks and metrics, SemPlan allows developers to measure the 'reasoning reliability' of models, moving beyond simple accuracy scores to evaluate the structural integrity of the generated plans.",[17,7721,7723],{"id":7722},"implications-for-ai-engineering","Implications for AI Engineering",[22,7725,7726],{},"The findings suggest that current LLMs often exhibit 'planning drift'—where the model loses track of the original objective during multi-step execution. The benchmark emphasizes that for enterprise applications, the bottleneck is rarely the model's knowledge base, but rather its capacity for sustained logical planning. Developers building AI-powered enterprise tools should prioritize evaluating models on their ability to generate structured, verifiable plans rather than relying solely on end-to-end generation performance.",{"title":53,"searchDepth":54,"depth":54,"links":7728},[7729,7730,7731],{"id":7685,"depth":54,"text":7686},{"id":7692,"depth":54,"text":7693},{"id":7722,"depth":54,"text":7723},[95],{"content_references":7734,"triage":7739},[7735],{"type":67,"title":7736,"url":7737,"context":7738},"SemPlan: Benchmarking Structured Semantic Planning for LLM-Based Queries over Enterprise Data","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.13612","reviewed",{"relevance":72,"novelty":73,"quality":73,"actionability":7501,"composite":7660,"reasoning":7740},"Category: AI & LLMs. The article introduces SemPlan, a benchmark for evaluating LLMs in structured semantic planning, which directly addresses the challenges faced by developers in enterprise data querying. It provides insights into the limitations of current RAG approaches and suggests a focus on planning capabilities, making it relevant and actionable for AI engineers.","\u002Fsummaries\u002Feb6152fc659950a2-semplan-a-benchmark-for-structured-semantic-planni-summary","2026-08-18 03:10:23",{"title":7675,"description":53},{"loc":7741},"eb6152fc659950a2","summaries\u002Feb6152fc659950a2-semplan-a-benchmark-for-structured-semantic-planni-summary",[7590,86,88,87],"SemPlan introduces a rigorous framework for evaluating how LLMs perform structured semantic planning when querying complex enterprise data, addressing the gap between simple RAG and multi-step reasoning.",[],"bPjvhokbBqux2kvssIYR6YCI9VoCMmibiolTF5J2GJE"]