{"id":35998,"date":"2025-01-04T05:00:24","date_gmt":"2025-01-03T21:00:24","guid":{"rendered":"https:\/\/17aitech.com\/?p=35998"},"modified":"2025-01-04T05:00:24","modified_gmt":"2025-01-03T21:00:24","slug":"%e4%b8%8d%e5%87%ba%e6%89%80%e6%96%99%ef%bc%81jurgen%e5%8f%88%e7%ab%99%e5%87%ba%e6%9d%a5%e5%8f%8d%e5%af%b9hinton%e5%be%97%e8%af%ba%e5%a5%96%ef%bc%8cnature%e4%b9%9f%e7%82%ae%e8%bd%b0%e6%8f%90%e5%90%8d","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=35998","title":{"rendered":"\u4e0d\u51fa\u6240\u6599\uff01J\u00fcrgen\u53c8\u7ad9\u51fa\u6765\u53cd\u5bf9Hinton\u5f97\u8bfa\u5956\uff0cNature\u4e5f\u70ae\u8f70\u63d0\u540d\u8fc7\u7a0b\u4e0d\u900f\u660e"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2024-10-10-7\" target=\"_blank\">\u4e0d\u51fa\u6240\u6599\uff01J\u00fcrgen\u53c8\u7ad9\u51fa\u6765\u53cd\u5bf9Hinton\u5f97\u8bfa\u5956\uff0cNature\u4e5f\u70ae\u8f70\u63d0\u540d\u8fc7\u7a0b\u4e0d\u900f\u660e<\/a><\/p>\n<section>\u4eca\u5e74\u7684\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u9881\u7ed9\u4e86\u4e24\u4f4d\u4eab\u8a89\u76db\u540d\u7684 AI \u7814\u7a76\u8005 John J. Hopfield \u548c Geoffrey E. Hinton\uff0c\u8fd9\u786e\u5b9e\u8ba9\u5f88\u591a\u4eba\u611f\u5230\u610f\u5916\u3002<\/section>\n<section><\/section>\n<section>\u7b2c\u4e00\u5c42\u7591\u95ee\u662f\uff1aHinton \u548c\u7269\u7406\u5b66\u6709\u4ec0\u4e48\u5173\u7cfb\u5417\uff1f<\/section>\n<section><\/section>\n<section>\u7b2c\u4e8c\u5c42\u7591\u95ee\u662f\uff1aAI \u79d1\u5b66\u5bb6\u662f\u5982\u4f55\u63d0\u540d\u7269\u7406\u5b66\u5956\u7684\uff1f\u8fd9\u7a0b\u5e8f\u5408\u7406\u5417\uff1f<\/section>\n<section><\/section>\n<section>\u8fde GPT-4o \u90fd\u4e0d\u6562\u76f8\u4fe1\uff1a<\/section>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/10\/frc-0a26eafd73228c5a38e6c56cd2251bfe.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/10\/frc-0a26eafd73228c5a38e6c56cd2251bfe.png\"><\/a><\/section>\n<section>\u5f53\u7136\uff0c\u66f4\u6df1\u5c42\u7684\u8d28\u7591\u6765\u81ea\u4e00\u4e9b\u540c\u8d5b\u9053\u7684 AI \u79d1\u5b66\u5bb6\uff0c\u6bd4\u5982\u6311\u6218 Hinton \u591a\u5e74\u7684 LSTM \u4e4b\u7236 \u2014\u2014J\u00fcrgen Schmidhuber\u3002<\/section>\n<section><\/section>\n<section><strong>J\u00fcrgen Schmidhuber \u53c8\u6765\u4e86<\/strong><\/section>\n<section><\/section>\n<section>\u5728\u7edf\u8ba1\u7269\u7406\u5b66\u4e2d\uff0cHopfield \u6a21\u578b\u6210\u4e3a\u6700\u5e38\u7814\u7a76\u7684 Hamiltonians \u5b66\u6d3e\u4e4b\u4e00\uff0c\u5173\u4e8e\u5b83\u7684\u8bba\u6587\u548c\u4e66\u7c4d\u5df2\u6709\u6570\u4e07\u7bc7\u3002\u8fd9\u4e2a\u60f3\u6cd5\u4e3a\u6570\u767e\u540d\u7269\u7406\u5b66\u5bb6\u8fdb\u5165<mark data-type=\"concepts\" data-id=\"306453a1-dae0-4518-9204-c5d533cedbe7\">\u795e\u7ecf\u79d1\u5b66<\/mark>\u548c AI \u9886\u57df\u63d0\u4f9b\u4e86\u5207\u5165\u70b9\u3002<\/section>\n<section><\/section>\n<section>\u5728\u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\uff0cHopfield \u7f51\u7edc\u662f\u4fc3\u4f7f AI \u5bd2\u51ac\uff081974-1981 \u5e74\uff09\u7ed3\u675f\u4ee5\u53ca\u968f\u540e\u4eba\u5de5<mark data-type=\"tech_methods\" data-id=\"72b0bcc0-d8f9-4edd-919f-fa7c2560388c\">\u795e\u7ecf\u7f51\u7edc<\/mark>\u590d\u5174\u7684\u4e3b\u8981\u9a71\u52a8\u601d\u60f3\u3002Hopfield \u5728 1982 \u5e74\u53d1\u8868\u7684\u8bba\u6587\u6807\u5fd7\u7740\u73b0\u4ee3<mark data-type=\"tech_methods\" data-id=\"72b0bcc0-d8f9-4edd-919f-fa7c2560388c\">\u795e\u7ecf\u7f51\u7edc<\/mark>\u65f6\u4ee3\u7684\u5f00\u59cb\u3002<\/section>\n<section><\/section>\n<section>\u4f46 J\u00fcrgen Schmidhuber \u8ba4\u4e3a\uff1a\u300c\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u6388\u4e88\u4e86\u8ba1\u7b97\u673a\u79d1\u5b66\u9886\u57df\u7684\u527d\u7a83\u548c\u9519\u8bef\u5f52\u5c5e\uff0c\u4e3b\u8981\u6d89\u53ca Amari \u7684 Hopfield \u7f51\u7edc\u548c<mark data-type=\"tech_methods\" data-id=\"a5e5d95a-0c4b-4281-99d6-abc4fb38e657\">\u73bb\u5c14\u5179\u66fc\u673a<\/mark>\u3002\u300d<\/section>\n<section><\/section>\n<section>\u5728\u53d1\u8868\u4e8e X 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data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u4e2d\uff0c\u90a3\u4e9b\u65e0\u6cd5\u771f\u6b63\u8bc1\u660e\u5176\u60f3\u6cd5\u53ef\u884c\u7684\u60f3\u6cd5\u8bba\u6587\u6bd4\u6bd4\u7686\u662f\uff0c\u800c\u4e14\u5f80\u5f80\u4e0d\u4f1a\u88ab\u5e7f\u6cdb\u9605\u8bfb\u6216\u91c7\u7528\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u6211\u4eec\u5b9e\u9645\u4e0a\u5e76\u6ca1\u6709\u4e00\u4e2a\u7edf\u4e00\u7684\u7406\u8bba\uff0c\u56e0\u6b64\u4e0d\u540c\u7684\u9635\u8425\u4f7f\u7528\u5b8c\u5168\u4e0d\u540c\u7684\u672f\u8bed\uff0c\u76f4\u5230\u4f60\u771f\u6b63\u6df1\u5165\u7814\u7a76\u5b83\uff0c\u4f60\u624d\u4f1a\u610f\u8bc6\u5230\u72ec\u7acb\u521b\u5efa\u7684\u5404\u79cd\u6a21\u578b\u4e4b\u95f4\u5b58\u5728\u6570\u5b66\u7b49\u4ef7\u6027\u3002\u300d<\/section>\n<section><\/section>\n<section>\u7ef4\u57fa\u767e\u79d1\u8bcd\u6761\u4e2d\uff0c\u5173\u4e8e Hopfield \u7f51\u7edc\u7684\u7b80\u4ecb\u5982\u4e0b\uff1a<\/section>\n<section><\/section>\n<section>\u7b2c\u4e8c\u4e2a\u8981\u6dfb\u52a0\u7684\u7ec4\u6210\u90e8\u5206\u662f\u5bf9\u523a\u6fc0\u7684\u9002\u5e94\u3002\u4e2d\u91ce\u85b0\uff08Kaoru Nakano\uff09\u4e8e 1971 \u5e74\u548c\u7518\u5229\u4fca\u4e00\uff08Shun&#8217;ichi Amari\uff09\u4e8e 1972 \u5e74\u5206\u522b\u5bf9\u6b64\u8fdb\u884c\u4e86\u63cf\u8ff0\uff0c\u4ed6\u4eec\u63d0\u51fa\u901a\u8fc7 Hebbian \u5b66\u4e60\u89c4\u5219\u4fee\u6539 Ising \u6a21\u578b\u7684<mark data-type=\"concepts\" data-id=\"149a12cf-10c2-4555-9899-cc6dee319ef5\">\u6743\u91cd<\/mark>\uff0c\u4f7f\u5176\u6210\u4e3a\u8054\u60f3\u8bb0\u5fc6\u6a21\u578b\u3002William A. Little \u4e8e 1974 \u5e74\u53d1\u8868\u4e86\u540c\u6837\u7684\u60f3\u6cd5\uff0cHopfield \u5728 1982 \u5e74\u7684\u8bba\u6587\u4e2d\u5bf9\u4ed6\u8868\u793a\u4e86\u611f\u8c22\u3002<\/section>\n<section><\/section>\n<section>\u57fa\u672c\u4e0a\uff0c\u6709 3 \u4e2a\u4e0d\u540c\u7684\u4eba\u60f3\u5230\u4f7f\u7528 Hebbian \u5b66\u4e60\u8fdb\u884c\u8054\u60f3\u8bb0\u5fc6\u3002\u56e0\u6b64 Hopfield \u5c06\u8fd9\u4e2a\u60f3\u6cd5\u5f52\u529f\u4e8e\u4ed6\u6240\u77e5\u9053\u7684\u4eba\uff0c\u5c3d\u7ba1\u770b\u8d77\u6765 Amari \u66f4\u65e9\uff08\u6216\u8bb8 Nakano \u751a\u81f3\u6bd4 Amari \u8fd8\u65e9\uff09\u3002<\/section>\n<section><\/section>\n<section>\u8fd8\u6709\u7f51\u53cb\u8bf4\uff0c<mark data-type=\"tech_methods\" data-id=\"a5e5d95a-0c4b-4281-99d6-abc4fb38e657\">\u73bb\u5c14\u5179\u66fc\u673a<\/mark>\u8bba\u6587\u5e76\u6ca1\u6709\u4f7f\u7528\u53cd\u5411\u4f20\u64ad\u3001Hebbian \u5b66\u4e60\u6216 Schmidhuber \u8ba4\u4e3a\u6ca1\u88ab\u5f15\u7528\u7684\u4efb\u4f55\u65b9\u6cd5\u3002\u8fd9\u7bc7\u8bba\u6587\u672c\u8eab\u5e76\u6ca1\u6709\u8bf4\u5b83\u53d1\u660e\u4e86\u7b2c\u4e00\u4e2a\u5b66\u4e60\u7b97\u6cd5\uff0c\u53ea\u662f\u8bf4\u5b83\u53d1\u73b0\u4e86\u4e00\u79cd\u53ef\u4ee5\u4ea7\u751f\u6709\u7528\u4e14\u6709\u8da3\u7684\u4e2d\u95f4\u8868\u793a\u7684\u5b66\u4e60\u7b97\u6cd5\u3002<\/section>\n<section><\/section>\n<section>\u800c Hinton \u65e9\u5c31\u5728\u51e0\u5e74\u524d\u89e3\u91ca\u8fc7 J\u00fcrgen Schmidhuber \u6307\u51fa\u7684\u95ee\u9898\uff0c\u5e76\u8868\u793a\u300c\u4ece\u6b64\u4e0d\u4f1a\u518d\u505a\u51fa\u4efb\u4f55\u56de\u5e94\u300d\u3002<\/section>\n<p>\u4e0e Schmidhuber \u5c31\u5b66\u672f\u4fe1\u7528\u95ee\u9898\u8fdb\u884c\u516c\u5f00\u8fa9\u8bba\u5e76\u4e0d\u53ef\u53d6\uff0c\u56e0\u4e3a\u8fd9\u53ea\u4f1a\u52a9\u957f\u4ed6\u7684\u6c14\u7130\uff0c\u800c\u4e14\u4ed6\u4f1a\u4e0d\u60dc\u82b1\u8d39\u5927\u91cf\u65f6\u95f4\u548c\u7cbe\u529b\u6765\u8bcb\u6bc1\u4ed6\u6240\u8ba4\u4e3a\u7684\u5bf9\u624b\u3002\u4ed6\u751a\u81f3\u4e0d\u60dc\u4f7f\u7528\u7ef4\u57fa\u767e\u79d1\u4e2d\u7684\u591a\u91cd\u522b\u540d\u7b49\u4f0e\u4fe9\uff0c\u8ba9\u522b\u4eba\u770b\u8d77\u6765\u4f3c\u4e4e\u540c\u610f\u4ed6\u7684\u8bf4\u6cd5\u3002\u4ed6\u7f51\u7ad9\u4e0a\u5173\u4e8e\u827e\u4f26\u30fb\u56fe\u7075\u7684\u9875\u9762\u5c31\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u4f8b\u5b50\uff0c\u8bf4\u660e\u4ed6\u662f\u5982\u4f55\u8bd5\u56fe\u524a\u5f31\u5176\u4ed6\u4eba\u7684\u8d21\u732e\u7684\u3002<\/p>\n<p>\u5c3d\u7ba1\u6211\u6709\u6700\u597d\u7684\u5224\u65ad\u529b\uff0c\u4f46\u6211\u89c9\u5f97\u6211\u4e0d\u80fd\u5b8c\u5168\u4e0d\u56de\u7b54\u4ed6\u7684\u6307\u63a7\uff0c\u6240\u4ee5\u6211\u53ea\u56de\u5e94\u4e00\u6b21\u3002\u6211\u4ece\u672a\u58f0\u79f0\u53cd\u5411\u4f20\u64ad\u662f\u6211\u53d1\u660e\u7684\u3002David Rumelhart \u662f\u5728\u5176\u4ed6\u9886\u57df\u7684\u4eba\u53d1\u660e\u53cd\u5411\u4f20\u64ad\u5f88\u4e45\u4e4b\u540e\u624d\u72ec\u7acb\u53d1\u660e\u5b83\u7684\u3002\u7684\u786e\uff0c\u5f53\u6211\u4eec\u7b2c\u4e00\u6b21\u53d1\u8868\u8bba\u6587\u65f6\uff0c\u6211\u4eec\u5e76\u4e0d\u4e86\u89e3\u8fd9\u6bb5\u5386\u53f2\uff0c\u6240\u4ee5\u6211\u4eec\u6ca1\u6709\u5f15\u7528\u4e4b\u524d\u7684\u53d1\u660e\u8005\u3002\u6211\u6240\u58f0\u79f0\u7684\u662f\uff0c\u662f\u6211\u6e05\u695a\u5730\u8bc1\u660e\u4e86\u53cd\u5411\u4f20\u64ad\u53ef\u4ee5\u5b66\u4e60\u6709\u8da3\u7684\u5185\u90e8\u8868\u5f81\uff0c\u800c\u8fd9\u6b63\u662f\u5b83\u5e7f\u53d7\u6b22\u8fce\u7684\u539f\u56e0\u3002\u6211\u662f\u901a\u8fc7\u5f3a\u8feb<mark data-type=\"tech_methods\" data-id=\"72b0bcc0-d8f9-4edd-919f-fa7c2560388c\">\u795e\u7ecf\u7f51\u7edc<\/mark>\u5b66\u4e60\u5355\u8bcd\u7684\u5411\u91cf\u8868\u5f81\u6765\u505a\u5230\u8fd9\u4e00\u70b9\u7684\uff0c\u8fd9\u6837\u5b83\u5c31\u80fd\u6839\u636e\u524d\u4e00\u4e2a\u5355\u8bcd\u7684\u5411\u91cf\u8868\u5f81\u6765\u9884\u6d4b\u5e8f\u5217\u4e2d\u7684\u4e0b\u4e00\u4e2a\u5355\u8bcd\u3002\u6b63\u662f\u8fd9\u4e2a\u4f8b\u5b50\u8bf4\u670d\u4e86\u300a\u81ea\u7136\u300b\u6742\u5fd7\u7684\u5ba1\u7a3f\u4eba\u53d1\u8868\u4e86 1986 \u5e74\u7684\u8bba\u6587\u3002<\/p>\n<p>\u7684\u786e\uff0c\u5a92\u4f53\u4e0a\u6709\u5f88\u591a\u4eba\u8bf4\u6211\u53d1\u660e\u4e86\u53cd\u5411\u4f20\u64ad\uff0c\u6211\u4e5f\u82b1\u4e86\u5f88\u591a\u65f6\u95f4\u6765\u7ea0\u6b63\u4ed6\u4eec\u3002\u4ee5\u4e0b\u662f Michael Ford2018 \u5e74\u51fa\u7248\u7684\u300a\u667a\u80fd\u67b6\u6784\u5e08\u300b\uff08Architects of Intelligence\uff09\u4e00\u4e66\u7684\u8282\u9009\uff1a<\/p>\n<p>\u5728 David Rumelhart \u4e4b\u524d\uff0c\u5f88\u591a\u4e0d\u540c\u7684\u4eba\u53d1\u660e\u4e86\u4e0d\u540c\u7248\u672c\u7684\u53cd\u5411\u4f20\u64ad\u3002\u4ed6\u4eec\u4e3b\u8981\u662f\u72ec\u7acb\u7684\u53d1\u660e\uff0c\u6211\u89c9\u5f97\u6211\u7684\u529f\u52b3\u592a\u5927\u4e86\u3002\u6211\u5728\u5a92\u4f53\u4e0a\u770b\u5230\u6709\u4eba\u8bf4\u662f\u6211\u53d1\u660e\u4e86\u53cd\u5411\u4f20\u64ad\uff0c\u8fd9\u5b8c\u5168\u662f\u9519\u8bef\u7684\u3002\u8fd9\u662f\u4e00\u4e2a\u7f55\u89c1\u7684\u4f8b\u5b50\uff0c\u4e00\u4e2a\u5b66\u8005\u89c9\u5f97\u4ed6\u5728\u67d0\u4ef6\u4e8b\u60c5\u4e0a\u83b7\u5f97\u4e86\u592a\u591a\u7684\u8363\u8a89\uff01\u6211\u7684\u4e3b\u8981\u8d21\u732e\u662f\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u5b83\u6765\u5b66\u4e60\u5206\u5e03\u5f0f\u8868\u5f81\uff0c\u6240\u4ee5\u6211\u60f3\u6f84\u6e05\u8fd9\u4e00\u70b9\u3002<\/p>\n<p>\u4e5f\u8bb8 J\u00fcrgen \u60f3\u6f84\u6e05\u662f\u8c01\u53d1\u660e\u4e86 LSTM\uff1f<\/p>\n<section><strong>Nature\uff1a\u8bfa\u5956\u7684\u63d0\u540d\u8fc7\u7a0b\u5fc5\u987b\u66f4\u52a0\u516c\u5f00\u900f\u660e<\/strong><\/section>\n<section><\/section>\n<section>\u5728\u8bfa\u8d1d\u5c14\u5956\u7684\u7269\u7406\u5b66\u5956\u548c\u5316\u5b66\u5956\u5206\u522b\u9881\u53d1\u7ed9 AI \u4e4b\u540e\uff0c\u5927\u5bb6\u5f00\u59cb\u6000\u7591\uff1a\u83ab\u975e\u4eca\u5e74\u7684\u8bfa\u8d1d\u5c14\u6587\u5b66\u5956\u8981\u9881\u7ed9 ChatGPT\uff1f<\/section>\n<section><\/section>\n<section>\u9762\u5bf9\u8bfa\u8d1d\u5c14\u5956\u8bc4\u9009\u7ed3\u679c\u7684\u591a\u91cd\u300c\u610f\u5916\u300d\uff0c\u9876\u520a\u4e5f\u662f\u65e9\u6709\u9884\u6599\u4e86\u3002<\/section>\n<section><\/section>\n<section>\u524d\u4e24\u5929\uff0cNature \u6742\u5fd7\u5c31\u53d1\u8868\u4e86\u4e00\u7bc7\u793e\u8bba\uff0c\u70ae\u8f70\u8bfa\u8d1d\u5c14\u5956\u5728\u5168\u7403\u8303\u56f4\u5185\u4ee3\u8868\u6027\u4e0d\u8db3\uff0c\u63d0\u540d\u8fc7\u7a0b\u5fc5\u987b\u66f4\u52a0\u516c\u5f00\u900f\u660e\u3002<\/section>\n<section><\/section>\n<section>\u7c7b\u4f3c\u4e8e AI \u7684\u63a8\u7406\u8fc7\u7a0b\u8fd8\u662f\u4e2a\u300c\u9ed1\u76d2\u300d\uff0c\u8bfa\u8d1d\u5c14\u5956\u7684\u8bc4\u9009\u8fc7\u7a0b\u4e5f\u662f\u4e00\u4e2a\u6709\u70b9\u50cf\u300c\u9ed1\u76d2\u300d\u7684\u673a\u5236\uff0c\u63d0\u540d\u4eba\u548c\u88ab\u63d0\u540d\u4eba\u540d\u5355\u5728\u8bc4\u5956\u7ed3\u679c\u516c\u5e03\u4e4b\u524d\u5fc5\u7136\u4e25\u683c\u4fdd\u5bc6\uff0c\u88ab\u63d0\u540d\u540d\u5355\u66f4\u662f\u8981\u4fdd\u5bc6 50 \u5e74\u3002\u56e0\u6b64\uff0c\u8bfa\u8d1d\u5c14\u5956\u8bc4\u9009\u7684\u5177\u4f53\u7ec6\u8282\uff0c\u6211\u4eec\u65e0\u4ece\u5f97\u77e5\u3002<\/section>\n<section><\/section>\n<section>\u4e3a\u4e86\u9884\u6d4b\u4e0b\u4e00\u5e74\u7684\u8bfa\u8d1d\u5c14\u5956\u5f97\u4e3b\uff0c\u4eba\u4eec\u53ea\u80fd\u4ece\u5f80\u5e74\u7684\u83b7\u5956\u8005\u4e2d\u5bfb\u627e\u89c4\u5f8b\u3002\u4e8e\u662f\uff0c\u4e00\u76f4\u6709\u4f20\u8a00\u79f0\uff0c\u8bfa\u8d1d\u5c14\u6587\u5b66\u5956\u7684\u8bc4\u9009\u5b58\u5728\u4e00\u4e2a\u4e0d\u6210\u6587\u7684\u89c4\u5b9a\uff0c\u5373\u6765\u81ea\u4e94\u5927\u6d32\u7684\u4f5c\u5bb6\u8f6e\u6d41\u83b7\u5956\u3002<\/section>\n<section><\/section>\n<section>\u4e0e\u6b64\u76f8\u5bf9\u7167\u7684\u662f\uff0c\u8d1f\u8d23\u8bc4\u9009\u8bfa\u8d1d\u5c14\u5956\u7684\u7ec4\u7ec7\u8868\u793a\u8fc7\uff0c\u4ed6\u4eec\u6b63\u5728\u79ef\u6781\u52aa\u529b\u63d0\u5347\u8bfa\u8d1d\u5c14\u5956\u5f97\u4e3b\u7684\u591a\u6837\u6027\uff0c\u5e76\u4e14\u5df2\u7ecf\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\u3002\u6574\u4e2a 20 \u4e16\u7eaa\uff0c\u8bfa\u8d1d\u5c14\u5316\u5b66\u5956\u3001\u7269\u7406\u5b66\u5956\u4ee5\u53ca\u751f\u7406\u5b66\u6216\u533b\u5b66\u5956\u4ec5\u6709 11 \u6b21\u88ab\u6388\u4e88\u5973\u6027\uff1b\u800c\u5728 2000 \u5e74\u81f3 2023 \u5e74\u95f4\uff0c\u8fd9\u4e2a\u6570\u5b57\u5c31\u63d0\u5347\u5230\u4e86 15 \u6b21\u3002<\/section>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/10\/frc-36e1df2709f7e8332be0e02bbea4eae3.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/10\/frc-36e1df2709f7e8332be0e02bbea4eae3.png\"><\/a><\/section>\n<section><em><sup>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a01910 \u5e74 &#8211; 2020 \u5e74\u5973\u6027\u83b7\u5f97\u8bfa\u8d1d\u5c14\u5956\u7684\u6570\u91cf\u53d8\u5316<\/sup><\/em><\/section>\n<section><\/section>\n<section>\u867d\u7136\u6027\u522b\u7684\u591a\u6837\u6027\u53d6\u5f97\u4e86\u53ef\u559c\u7684\u8fdb\u5c55\uff0c\u4f46\u5927\u5bb6\u4f3c\u4e4e\u5df2\u7ecf\u4e60\u60ef\u4e86\u79d1\u5b66\u754c\u6743\u529b\u548c\u8d44\u91d1\u5206\u914d\u5728\u5168\u7403\u8303\u56f4\u5185\u7684\u4e0d\u5747\u8861\uff0c\u5f80\u5f80\u5ffd\u89c6\u4e86\u8fd9\u4e00\u70b9\u3002\u5728\u8bfa\u8d1d\u5c14\u5956\u7684\u5386\u53f2\u4e2d\uff0c\u53ea\u6709 10 \u4f4d\u83b7\u5956\u8005\u51fa\u751f\u4e8e\u76ee\u524d\u88ab\u4e16\u754c\u94f6\u884c\u5f52\u7c7b\u4e3a\u4e2d\u4f4e\u6536\u5165\u4ee5\u4e0b\u7684\u56fd\u5bb6\uff0c\u5e76\u4e14\u4ed6\u4eec\u4e2d\u7684\u7edd\u5927\u591a\u6570\u5728\u83b7\u5956\u65f6\u5df2\u7ecf\u79fb\u5c45\u5317\u7f8e\u6216\u6b27\u6d32\u3002<\/section>\n<section><\/section>\n<section>\u6b63\u5982\u300aTWAS at 20\uff08\u7b2c\u4e09\u4e16\u754c\u79d1\u5b66\u9662 20 \u5e74\uff09\u300b\u8fd9\u672c\u4e66\u4e2d\u6240\u5199\uff0c\u56db\u5341\u5e74\u524d\uff0c\u8bb8\u591a\u975e\u53d1\u8fbe\u5730\u533a\u7684\u79d1\u5b66\u5bb6\u9762\u4e34\u7740\u8270\u96be\u7684\u9009\u62e9\uff1a\u300c\u80cc\u5f03\u4f60\u7684\u5bb6\u4e61\uff0c\u4e13\u6ce8\u4e8e\u804c\u4e1a\u751f\u6daf\uff1b\u6216\u8005\u7559\u5728\u5bb6\u91cc\uff0c\u732e\u796d\u4f60\u7684\u804c\u4e1a\u751f\u6daf\u3002\u300d<\/section>\n<section><\/section>\n<section>\u5728\u66f4\u9690\u79d8\u7684\u89d2\u843d\uff0c\u8bfa\u8d1d\u5c14\u5956\u4e4b\u4e0a\u8fd8\u7b3c\u7f69\u7740\u4e00\u5c42\u5de8\u5927\u800c\u65e0\u5f62\u7684\u300c\u4eba\u60c5\u7f51\u300d\u3002Nature \u7684\u8c03\u67e5\u663e\u793a\uff0c\u65e0\u8bba\u770b\u8d77\u6765\u6709\u591a\u79bb\u8c31\uff0c\u51e0\u4e4e\u6240\u6709\u8bfa\u8d1d\u5c14\u5956\u5f97\u4e3b\u90fd\u5b58\u5728\u67d0\u79cd\u8054\u7cfb\u3002\u4ee4\u4eba\u60ca\u8bb6\u7684\u662f\uff0c\u83b7\u5f97\u79d1\u5b66\u7c7b\u4ee5\u53ca\u7ecf\u6d4e\u5b66\u5956\u9879\u4e2d\u7684 736 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