{"id":41326,"date":"2023-03-17T19:25:06","date_gmt":"2023-03-17T11:25:06","guid":{"rendered":"https:\/\/swarma.org\/?p=41326"},"modified":"2023-03-17T19:25:06","modified_gmt":"2023-03-17T11:25:06","slug":"nat-mach-intell-%e9%80%9f%e9%80%92%ef%bc%9a%e9%80%9a%e8%bf%87%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e6%b1%82%e8%a7%a3%e9%9a%8f%e6%9c%ba%e5%8c%96%e5%ad%a6%e5%8f%8d%e5%ba%94%e7%bd%91%e7%bb%9c","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=41326","title":{"rendered":"Nat. Mach. Intell. \u901f\u9012\uff1a\u901a\u8fc7\u795e\u7ecf\u7f51\u7edc\u6c42\u89e3\u968f\u673a\u5316\u5b66\u53cd\u5e94\u7f51\u7edc"},"content":{"rendered":"
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2023\u5e743\u670816\u65e5\uff0c\u5317\u4eac\u5e08\u8303\u5927\u5b66\u590d\u6742\u7cfb\u7edf\u56fd\u9645\u79d1\u5b66\u4e2d\u5fc3\u7684\u6c64\u8fce\u526f\u7814\u7a76\u5458\u548c\u5b66\u751f\u7fc1\u4f73\u94b0\u3001\u4e0e<\/span><\/strong>\u4e2d\u56fd\u79d1\u5b66\u9662\u7406\u8bba\u7269\u7406\u7814\u7a76\u6240<\/span><\/strong>\u7684\u5f20\u6f58\u7814\u7a76\u5458\u5408\u4f5c\uff0c\u5728 Nature Machine Inttelligence<\/em> \u6742\u5fd7\u53d1\u8868\u8bba\u6587\u201cNeural-network solutions to stochastic reaction networks\u201d\uff0c\u63d0\u51fa\u4e86\u4f7f\u7528\u53d8\u5206\u81ea\u56de\u5f52\u7f51\u7edc\u6765\u6c42\u89e3\u5316\u5b66\u4e3b\u65b9\u7a0b\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u3002\u8be5\u65b9\u6cd5\u80fd\u8ddf\u8e2a\u8054\u5408\u6982\u7387\u5206\u5e03\u7684\u65f6\u95f4\u6f14\u5316\uff0c\u5728\u591a\u4e2a\u7269\u7406\u5b66\u548c\u751f\u7269\u5b66\u4e2d\u7684\u4ee3\u8868\u6027\u4f8b\u5b50\u4e2d\u5f97\u5230\u5e94\u7528\u3002<\/span><\/strong><\/span><\/strong><\/span><\/strong><\/p>\n<\/section>\n


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\u4e3a\u4e86\u901a\u8fc7\u6570\u503c\u65b9\u6cd5\u8fd1\u4f3c\u6c42\u89e3CME\uff0c\u7814\u7a76\u8005\u5df2\u7ecf\u505a\u51fa\u4e86\u8bb8\u591a\u52aa\u529b\u3002\u6700\u5e38\u7528\u7684\u65b9\u6cd5\uff0cGillespie\u7b97\u6cd5[2]\u4f5c\u4e3a\u4e00\u79cd\u52a8\u529b\u5b66\u8499\u7279\u5361\u7f57\u65b9\u6cd5<\/strong>\uff0c\u4ece\u6240\u6709\u53ef\u80fd\u7684\u72b6\u6001\u8f68\u8ff9\u4e2d\u91c7\u6837\u4ee5\u751f\u6210\u76f8\u5173\u53d8\u91cf\u7684\u7edf\u8ba1\u6570\u636e\u3002\u7136\u800c\uff0c\u4e3a\u4e86\u83b7\u5f97\u9ad8\u7cbe\u5ea6\u7684\u8054\u5408\u6982\u7387\u5206\u5e03\u6570\u636e\u9700\u8981\u8fdb\u884c\u5927\u91cf\u7684\u8f68\u8ff9\u6a21\u62df\uff0c\u5e76\u4e14\u7cfb\u7edf\u7684\u52a8\u529b\u5b66\u53ef\u80fd\u4f1a\u53d7\u5230\u7f55\u89c1\u4f46\u91cd\u8981\u7684\u8f68\u8ff9\u7684\u663e\u8457\u5f71\u54cd\uff0c\u800c\u8fd9\u4e9b\u8f68\u8ff9\u5f88\u96be\u901a\u8fc7Gillespie\u7b97\u6cd5\u8fdb\u884c\u91c7\u6837\u3002<\/span><\/p>\n


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\u56fe1\uff1a\u8ddf\u8e2a\u968f\u673a\u53cd\u5e94\u7f51\u7edc\u968f\u65f6\u95f4\u53d8\u5316\u7684\u8054\u5408\u6982\u7387\u5206\u5e03\u3002\uff08\u4e0a\uff09\u5bf9\u4e8e\u53cd\u5e94\u7f51\u7edc\uff0c\u72b6\u6001\u7a7a\u95f4\u968f\u7269\u79cd\u7684\u79cd\u7c7b\u6570\u589e\u591a\u5448\u6307\u6570\u7ea7\u589e\u5927\uff0c\u4f7f\u5f97\u8ddf\u8e2a\u8054\u5408\u5206\u5e03\u7684\u65f6\u95f4\u6f14\u5316\u53d8\u5f97\u56f0\u96be\u3002\u53d8\u5206\u81ea\u56de\u5f52\u65b9\u6cd5\uff08VAN\uff09\u53ef\u4ee5\u53c2\u6570\u5316\u8868\u793a\u8054\u5408\u5206\u5e03\u3002\uff08\u4e2d\uff09\u4ece\u521d\u59cb\u5206\u5e03\u51fa\u53d1\uff0c\u901a\u8fc7\u8fde\u7eed\u65f6\u95f4\u6b65\u957f\u7684\u8054\u5408\u5206\u5e03\u4e4b\u95f4\u7684KL\u6563\u5ea6\u6765\u6700\u5c0f\u5316\u635f\u5931\u51fd\u6570\uff0c\u4ee5\u5b66\u4e60\u5176\u65f6\u95f4\u6f14\u5316\u3002\u4e3a\u4e86\u5728\u4e0b\u4e00\u65f6\u523b\u8bad\u7ec3VAN\uff0c\u4ece\u4e0a\u4e00\u65f6\u523b\u5206\u5e03\u4e2d\u62bd\u53d6\u6837\u672c\u3002\u6bcf\u4e2a\u6837\u672c\u90fd\u7531\u4e00\u5217\u5806\u53e0\u7684\u6b63\u65b9\u5f62\u8868\u793a\uff0c\u5176\u989c\u8272\u4ee3\u8868\u7269\u79cd\uff0c\u6570\u5b57\u8868\u793a\u5b83\u4eec\u7684\u5206\u5b50\u6570\u3002\u5bf9\u4e8e\u6bcf\u4e2a\u6837\u672c\uff0c\u8fde\u63a5\u6784\u578b\u7684\u6570\u91cf\u4e0e\u5316\u5b66\u53cd\u5e94\u7684\u6570\u91cf\u76f8\u7b49\u3002\uff08\u4e0b\uff09\u7528Gillespie\u7b97\u6cd5\u6a21\u62df\u8f68\u8ff9\u53ef\u4ee5\u4ea7\u751f\u8fb9\u9645\u5206\u5e03\uff0c\u4f46\u4e00\u822c\u4e0d\u80fd\u51c6\u786e\u4ea7\u751f\u9ad8\u7ef4\u8054\u5408\u5206\u5e03\uff0c\u800cVAN\u8ddf\u8e2a\u4e86\u6240\u6709\u7269\u79cd\u6570\u968f\u65f6\u95f4\u53d8\u5316\u7684\u8054\u5408\u5206\u5e03\u3002<\/span><\/section>\n


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\u6587\u7ae0\u7684\u65b9\u6cd5\u4e0e\u6700\u8fd1\u63d0\u51fa\u7684\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u65b9\u6cd5\u6709\u5f88\u5927\u4e0d\u540c\uff0c\u76f8\u6bd4\u4e8e\u4f7f\u7528\u4eceGillespie\u7b97\u6cd5\u5f97\u5230\u7684\u6570\u636e\u6765\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc\u7684\u65b9\u6cd5[10,11]\uff0c\u8bad\u7ec3\u81ea\u56de\u5f52\u7f51\u7edc\u91c7\u7528\u5f3a\u5316\u5b66\u4e60\u6846\u67b6\u4e2d\u7684\u7b56\u7565\u68af\u5ea6\u7b97\u6cd5\uff0c\u4e0d\u9700\u8981\u4f7f\u7528\u5176\u4ed6\u65b9\u6cd5\u5148\u9a8c\u6a21\u62df\u7684\u4efb\u4f55\u6570\u636e\u3002\u8be5\u65b9\u6cd5\u7ed9\u51fa\u4e86\u4e00\u4e2a\u81ea\u52a8\u5f52\u4e00\u5316\u5206\u5e03\u4f5c\u4e3a\u4efb\u610f\u6709\u9650\u65f6\u95f4\u5185CME\u7684\u89e3\uff0c\u6240\u5f97\u5230\u7684\u8054\u5408\u5206\u5e03\uff0c\u63d0\u4f9b\u4e86\u9ad8\u7ef4\u72b6\u6001\u7a7a\u95f4\u4e2d\u6bcf\u79cd\u6784\u578b\u7684\u6982\u7387\u3002<\/span><\/p>\n


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<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n
 <\/span><\/section>\n
\u4f5c\u8005\u5c06\u8be5\u65b9\u6cd5\u5e94\u7528\u4e8e\u7269\u7406\u5b66\u548c\u751f\u7269\u5b66\u4e2d\u7684\u4ee3\u8868\u6027\u793a\u4f8b\uff0c\u5e76\u8bc1\u660e\u5b83\u53ef\u4ee5\u51c6\u786e\u5730\u751f\u6210\u968f\u65f6\u95f4\u53d8\u5316\u7684\u6982\u7387\u5206\u5e03\u3002\u5177\u4f53\u7684\u5e94\u7528\u5305\u62ec\u57fa\u56e0\u5207\u6362\u5f00\u5173\uff0c\u7ec6\u80de\u5185\u4fe1\u53f7\u7ea7\u8054\u53cd\u5e94\u3001\u65e9\u671f\u751f\u547d\u81ea\u6211\u590d\u5236\uff0c\u4ee5\u53ca\u5177\u6709\u65f6\u53d8\u901f\u7387\u7684\u6d41\u884c\u75c5\u6a21\u578b\u7b49\u3002<\/span><\/span><\/section>\n

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\u8fb9\u9645\u5206\u5e03\u7edf\u8ba1\u7ed3\u679c\u4e0e\u4f7f\u7528\u5148\u524d\u7684\u6570\u503c\u65b9\u6cd5\u5f97\u5230\u7684\u7ed3\u679c\u76f8\u7b26\uff0c\u4f8b\u5982Gillespie\u7b97\u6cd5\u6216Finite state projection\u65b9\u6cd5\u3002\u8be5\u65b9\u6cd5\u6709\u6548\u5730\u4ea7\u751f\u8054\u5408\u6982\u7387\u5206\u5e03\u7684\u65f6\u95f4\u6f14\u5316\u4fe1\u606f\uff0c\u7279\u522b\u5730\uff0c\u53d8\u5206\u81ea\u56de\u5f52\u7f51\u7edc\u5728\u8868\u793a\u591a\u5cf0\u5206\u5e03\u65b9\u9762\u8868\u73b0\u51fa\u53ef\u5851\u6027\uff0c\u5bf9\u4e8e\u7269\u79cd\u5206\u5b50\u6570\u5b88\u6052\u7684\u7cfb\u7edf\uff0c\u5177\u6709\u968f\u65f6\u95f4\u53d8\u5316\u7684\u53cd\u5e94\u901f\u7387\u7684\u7cfb\u7edf\u548c\u9ad8\u7ef4\u7cfb\u7edf\u5747\u662f\u6709\u6548\u7684\u3002\u7ed3\u679c\u8bc1\u660e\u8be5\u65b9\u6cd5\u662f\u4e00\u79cd\u57fa\u4e8e\u73b0\u4ee3\u673a\u5668\u5b66\u4e60\u7814\u7a76\u968f\u673a\u53cd\u5e94\u7f51\u7edc\u7684\u901a\u7528\u65b9\u6cd5<\/strong>\u3002\u4e0b\u9762\u5c55\u793a\u4e86\u8be5\u65b9\u6cd5\u5728\u9057\u4f20\u57fa\u56e0\u5207\u6362\u5f00\u5173<\/span>\uff08\u56fe2\uff09<\/span>\u548c\u7ec6\u80de\u5185\u4fe1\u53f7\u7ea7\u8054\u53cd\u5e94<\/span>\uff08\u56fe3\uff09<\/span>\u7684\u7ed3\u679c\u3002<\/span><\/span><\/section>\n

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\u56fe2\uff1a\u57fa\u56e0\u5207\u6362\u5f00\u5173\u7684\u7ed3\u679c\u3002(a) \u968f\u673a\u53cd\u5e94\u7f51\u7edc\u7684\u793a\u610f\u56fe\u3002(b)\u7531VAN\uff08\u70b9\uff09\u548cGillespie\u7b97\u6cd5\uff08\u7ebf\uff09\u5f97\u5230\u7684\u57fa\u56e0\u548c\u86cb\u767d\u8d28\u7684\u5e73\u5747\u5206\u5b50\u6570\u968f\u65f6\u95f4\u7684\u6f14\u5316\u3002(c)\u6bd4\u8f83VAN\u548cGillespie\u6a21\u62df\u5728\u65f6\u95f4\u70b9t = 0,1,\u2026,40\u7684\u57fa\u56e0\u548c\u86cb\u767d\u8d28\u7684\u5747\u503c\u548c\u6807\u51c6\u5dee\u3002(d)Gillespie\u6a21\u62df\uff08\u7070\u8272\uff09\u548cVAN\u7684\u8fb9\u7f18\u5206\u5e03\u3002\u56fe\u4f8b\u4e2d\u5305\u542b\u4e24\u4e2a\u5206\u5e03\u4e4b\u95f4\u7684Hellinger\u8ddd\u79bb\u3002(e)\u7531VAN\u5f97\u5230\u7684\u4e24\u79cd\u86cb\u767d\u8d28\u5728\u65f6\u95f4\u70b9t = 1,40\u7684\u8054\u5408\u5206\u5e03\uff0c\u989c\u8272\u5bf9\u5e94<\/span>\u5bf9\u6570\u5c3a\u5ea6\u4e0a\u7684\u6982\u7387\u503c\u3002<\/span><\/section>\n


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\u56fe3\uff1a\u7ec6\u80de\u5185\u4fe1\u53f7\u7ea7\u8054\u53cd\u5e94\u7684\u7ed3\u679c\u3002(a)\u968f\u673a\u53cd\u5e94\u7f51\u7edc\u7684\u793a\u610f\u56fe\u3002(b)\u7531VAN\uff08\u70b9\uff09\u548cGillespie\u7b97\u6cd5\uff08\u7ebf\uff09\u5f97\u5230\u7684\u57fa\u56e0\u548c\u86cb\u767d\u8d28\u7684\u5e73\u5747\u5206\u5b50\u6570\u968f\u65f6\u95f4\u7684\u6f14\u5316\u3002\u4e0d\u540c\u989c\u8272\u8868\u793a\u4e0d\u540c\u7269\u79cd\u79cd\u7c7b\u3002(c)\u5728\u65f6\u95f4\u70b9t=1,2,\u2026,10\uff0cVAN\u548cGillespie\u6a21\u62df\u4e4b\u95f4\u7269\u79cd\u5206\u5b50\u6570\u7684\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee\u7684\u6bd4\u8f83\u3002(d)Gillespie\u6a21\u62df\uff08\u7070\u8272\uff09\u548cVAN\u7684\u8fb9\u7f18\u5206\u5e03\u3002\u56fe\u4f8b\u4e2d\u5305\u542b\u4e24\u4e2a\u5206\u5e03\u4e4b\u95f4\u7684Hellinger\u8ddd\u79bb\u3002(e)\u7b2c\u4e00\u4e2a\u7269\u79cd\u548c\u6700\u540e\u4e00\u4e2a\u7269\u79cd\u5728VAN\u65f6\u95f4\u70b9t = 2,10\u7684\u8054\u5408\u6982\u7387\u5206\u5e03\uff0c\u989c\u8272\u5bf9\u5e94\u6982\u7387\u503c\u3002(f)\u7269\u79cd\u79cd\u7c7b\u6570\u4e0d\u540c\u7684\u7cfb\u7edf\u7684\u8ba1\u7b97\u65f6\u95f4\uff0c\u53ef\u4ee5\u53d1\u73b0\u8ba1\u7b97\u65f6\u95f4\u5c3a\u5ea6\u51e0\u4e4e\u4e0e\u7269\u79cd\u7684\u79cd\u7c7b\u6570\u6210\u7ebf\u6027\u5173\u7cfb\uff0c\u8be5\u65b9\u6cd5\u5bf9\u4e8e\u9ad8\u7ef4\u7cfb\u7edf\u6709\u9ad8\u6548\u7684\u8ba1\u7b97\u6548\u7387\u3002<\/span><\/section>\n

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4. \u603b\u7ed3<\/strong><\/strong><\/p>\n<\/section>\n

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\u6587\u7ae0\u63d0\u51fa\u4e86\u4e00\u79cd\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u6765\u8ddf\u8e2a\u968f\u673a\u53cd\u5e94\u7f51\u7edc\uff0c\u901a\u8fc7\u5229\u7528\u53d8\u5206\u81ea\u56de\u5f52\u795e\u7ecf\u7f51\u7edc\u6765\u6c42\u89e3\u5316\u5b66\u4e3b\u65b9\u7a0b\u4e2d\u7684\u8054\u5408\u6982\u7387\u5206\u5e03\u3002\u4f5c\u8005\u5c06\u5b83\u5e94\u7528\u4e8e\u751f\u7269\u7269\u7406\u5b66\u3001\u7cfb\u7edf\u751f\u7269\u5b66\u548c\u6d41\u884c\u75c5\u7684\u6a21\u578b\u4e2d\uff0c\u7ed3\u679c\u8868\u660e\u8be5\u65b9\u6cd5\u53ef\u4ee5\u51c6\u786e\u5730\u8ddf\u8e2a\u968f\u65f6\u95f4\u53d8\u5316\u7684\u8054\u5408\u6982\u7387\u5206\u5e03\uff0c\u5e76\u4e14\u5728\u5177\u6709\u591a\u5cf0\u5206\u5e03\u3001\u7269\u79cd\u5206\u5b50\u6570\u5b88\u6052\u3001\u542b\u6709\u65f6\u53d8\u901f\u7387\u6216\u9ad8\u7ef4\u7cfb\u7edf\u4e2d\u5747\u662f\u6709\u6548\u7684\u3002\u8fd9\u5957\u8ba1\u7b97\u6846\u67b6\u666e\u904d\u9002\u7528\u4e8e\u968f\u673a\u53cd\u5e94\u7f51\u7edc\u5206\u6790\uff0c\u53ef\u7528\u4e8e\u83b7\u5f97\u4e00\u822c\u7684\u968f\u673a\u53cd\u5e94\u7f51\u7edc\u4e2d\u7269\u79cd\u8054\u5408\u6982\u7387\u5206\u5e03\u7684\u65f6\u95f4\u6f14\u5316\u3002<\/span><\/p>\n


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\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s42256-023-00632-6<\/span><\/p>\n

\u8bba\u6587\u514d\u8d39\u53ea\u8bfb\u7248\u672c\uff1ahttps:\/\/rdcu.be\/c7MVp<\/span><\/p>\n

\u7a0b\u5e8f\u5305\uff1ahttps:\/\/github.com\/jamestang23\/NNCME<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/p>\n

[1] Bressloff P C 2014 Stochastic Processes in Cell Biology (Springer)<\/span><\/section>\n
[2] Gillespie D T 1976 A general method for numerically simulating the stochastic time evolution of coupled chemical reactions Journal of Computational Physics 22 403\u201334<\/span><\/section>\n
[3] Gillespie D T 2000 The chemical Langevin equation J. Chem. Phys. 113 297\u2013306<\/span><\/section>\n
[4] Munsky B and Khammash M 2006 The finite state projection algorithm for the solution of the chemical master equation J. Chem. Phys. 124 044104<\/span><\/section>\n
[5] Cao Y, Terebus A and Liang J 2016 Accurate chemical master equation solution using multi-finite buffers Multiscale Model. Simul. 14 923\u201363<\/span><\/section>\n
[6] Gupta A, Schwab C and Khammash M 2021 DeepCME: A deep learning framework for computing solution statistics of the chemical master equation PLOS Computational Biology 17 1\u201323<\/span><\/section>\n
[7] Wu D, Wang L and Zhang P 2019 Solving Statistical Mechanics Using Variational Autoregressive Networks Phys. Rev. Lett. 122 080602<\/span><\/section>\n
[8] Hibat-Allah M, Ganahl M, Hayward L E, Melko R G and Carrasquilla J 2020 Recurrent neural network wave functions Phys. Rev. Research 2 023358<\/span><\/section>\n
[9] Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez A N, Kaiser \u0141 and Polosukhin I 2017 Attention is All you Need Advances in Neural Information Processing Systems vol 30, ed I Guyon, U V Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan and R Garnett (Curran Associates, Inc.)<\/span><\/section>\n
[10] Jiang Q, Fu X, Yan S, Li R, Du W, Cao Z, Qian F and Grima R 2021 Neural network aided approximation and parameter inference of non-Markovian models of gene expression Nat. Commun. 12 1\u201312<\/span><\/section>\n
[11] Sukys A, \u00d6cal K and Grima R 2022 Approximating solutions of the Chemical Master equation using neural networks iScience 25 105010<\/span><\/section>\n


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AI+Science \u662f\u8fd1\u5e74\u5174\u8d77\u7684\u5c06\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u76f8\u7ed3\u5408\u7684\u4e00\u79cd\u8d8b\u52bf\u3002<\/span>\u4e00\u65b9\u9762\u662f AI for Science\uff0c\u673a\u5668\u5b66\u4e60\u548c\u5176\u4ed6 AI \u6280\u672f\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u95ee\u9898\uff0c\u4ece\u9884\u6d4b\u5929\u6c14\u548c\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u5230\u6a21\u62df\u661f\u7cfb\u78b0\u649e\u3001\u8bbe\u8ba1\u4f18\u5316\u6838\u805a\u53d8\u53cd\u5e94\u5806\uff0c\u751a\u81f3\u50cf\u79d1\u5b66\u5bb6\u4e00\u6837\u8fdb\u884c\u79d1\u5b66\u53d1\u73b0\uff0c\u88ab\u79f0\u4e3a\u79d1\u5b66\u53d1\u73b0\u7684\u201c\u7b2c\u4e94\u8303\u5f0f\u201d\u3002<\/span>\u53e6\u4e00\u65b9\u9762\u662f Science for AI\uff0c\u79d1\u5b66\u5c24\u5176\u662f\u7269\u7406\u5b66\u4e2d\u7684\u89c4\u5f8b\u548c\u601d\u60f3\u542f\u53d1\u673a\u5668\u5b66\u4e60\u7406\u8bba\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u63d0\u4f9b\u5168\u65b0\u7684\u89c6\u89d2\u548c\u65b9\u6cd5\u3002<\/span><\/section>\n
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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\uff08Jure Leskovec \u6559\u6388\u6307\u5bfc\uff09\u3001\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458\u6248\u9e3f\u4e1a\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7269\u7406\u7cfb\u535a\u58eb\u751f\u5218\u5b50\u9e23\uff08Max Tegmark \u6559\u6388\u6307\u5bfc\uff09\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201cAI+Science<\/a>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u63a2\u8ba8\u8be5\u9886\u57df\u7684\u91cd\u8981\u95ee\u9898\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\u3002<\/span>\u8bfb\u4e66\u4f1a\u4ece2023\u5e743\u670826\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 9:00-11:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba110\u5468\u3002<\/span>\u6b22\u8fce\u5bf9\u63a2\u7d22\u8fd9\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u524d\u6cbf\u9886\u57df\u6709\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/span><\/section>\n
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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/span><\/section>\n
\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u53d1\u73b0\u76f8\u4e92\u8d4b\u80fd\u7684\u65b0\u8303\u5f0f\uff1aAI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/section>\n


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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n

1. <\/strong>PRL \u901f\u9012\uff1a\u6709\u9650\u5927\u5c0f\u795e\u7ecf\u5143\u7f51\u7edc\u7684\u81ea\u6d3d\u968f\u673a\u52a8\u529b\u5b66<\/a><\/strong><\/span><\/section>\n
2. <\/strong>\u57fa\u4e8e\u590d\u6742\u7f51\u7edc\u7684\u968f\u673a\u6e38\u8d70\u65b9\u6cd5\uff0c\u91cf\u5316\u57ce\u5e02\u793e\u4f1a\u7a7a\u95f4\u533a\u9694<\/a><\/strong><\/span><\/section>\n
3. <\/strong><\/strong>\u65e0\u6807\u5ea6\u7f51\u7edc\u6a21\u578b\u5f00\u5c71\u4e4b\u4f5c\uff1a\u968f\u673a\u7f51\u7edc\u4e2d\u6807\u5ea6\u7684\u6d8c\u73b0<\/a><\/strong><\/strong><\/strong><\/span><\/section>\n
4. \u300a\u5f20\u6c5f\u00b7\u590d\u6742\u79d1\u5b66\u524d\u6cbf27\u8bb2\u300b\u5b8c\u6574\u4e0a\u7ebf\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/section>\n
<\/strong><\/a><\/strong><\/strong><\/strong><\/section>\n
5. \u6210\u4e3a\u96c6\u667aVIP\uff0c\u89e3\u9501\u5168\u7ad9\u8bfe\u7a0b\uff0f\u8bfb\u4e66\u4f1a<\/span><\/strong><\/a><\/strong><\/strong><\/strong><\/strong><\/section>\n
6. \u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/section>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a <\/strong><\/strong><\/span><\/strong><\/section>\n

<\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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