{"id":53226,"date":"2024-10-22T20:11:04","date_gmt":"2024-10-22T12:11:04","guid":{"rendered":"https:\/\/swarma.org\/?p=53226"},"modified":"2024-10-22T20:11:04","modified_gmt":"2024-10-22T12:11:04","slug":"%e8%af%ba%e8%b4%9d%e5%b0%94%e7%89%a9%e7%90%86%e5%ad%a6%e5%a5%96%e4%b8%ba%e4%bd%95%e9%a2%81%e7%bb%99%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%ef%bc%9fphysics-for-ai-%e7%bb%bc%e8%bf%b0%e4%bb%8b%e7%bb%8d","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=53226","title":{"rendered":"\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u4e3a\u4f55\u9881\u7ed9\u673a\u5668\u5b66\u4e60\uff1fPhysics for AI \u7efc\u8ff0\u4ecb\u7ecd"},"content":{"rendered":"
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2024\u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956<\/span><\/strong>\u4e00\u7ecf\u516c\u5e03\u5373\u5f15\u53d1\u4e86\u5e7f\u6cdb\u8ba8\u8bba\u2014\u2014\u7269\u7406\u5b66\u5956\u7adf\u88ab\u6388\u4e88\u673a\u5668\u5b66\u4e60\u9886\u57df<\/a>\u3002\u673a\u5668\u5b66\u4e60\u7684\u53d1\u5c55\u4e0e\u7269\u7406\u6709\u4f55\u79cd\u5173\u7cfb\uff0c\u53c8\u4f1a\u5bf9\u7269\u7406\u5b66\u4ea7\u751f\u600e\u6837\u7684\u5f71\u54cd\uff1f\u8fd1\u671f\u53d1\u8868\u4e8eArtificial Intelligence Review <\/em>\u7684\u7efc\u8ff0\u8bba\u6587 AI meets physics: a comprehensive survey<\/em>\u6df1\u5165\u63a2\u8ba8\u4e86\u7269\u7406\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\u7684\u76f8\u4e92\u4fc3\u8fdb\u3002<\/span><\/strong><\/section>\n

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\u672c\u6587\u9009\u53d6\u5176\u4e2d Physics for AI \u90e8\u5206\uff0c\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u7269\u7406\u5b66\u7684\u56db\u5927\u9886\u57df\u2014\u2014\u7ecf\u5178\u529b\u5b66\u3001\u7535\u78c1\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u3001\u91cf\u5b50\u529b\u5b66\u2014\u2014\u5982\u4f55\u542f\u53d1\u73b0\u4ee3\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u6784\u5efa\u3002\u501f\u6b64\uff0c\u6211\u4eec\u5c06\u4e00\u7aa5\u7269\u7406\u5b66\u5982\u4f55\u6210\u4e3a\u673a\u5668\u5b66\u4e60\u7814\u7a76\u7684\u5f15\u64ce\uff0c\u4ee5\u53ca\u8fd9\u79cd\u8de8\u5b66\u79d1\u5408\u4f5c\u5982\u4f55\u4e3a\u6211\u4eec\u6253\u5f00\u63a2\u7d22\u672a\u77e5\u4e16\u754c\u7684\u5927\u95e8\u3002<\/span><\/strong><\/section>\n<\/section>\n
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Liyuan Lab<\/span> <\/span>| \u6765\u6e90<\/span><\/strong><\/span><\/strong><\/span><\/p>\n


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\u8bba\u6587\u6765\u6e90\uff1a<\/span>Artificial Intelligence Review<\/span><\/p>\n

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\u8bba\u6587\u9898\u76ee\uff1aAI meets physics: a comprehensive survey
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\u8bba\u6587\u4f5c\u8005\uff1aLicheng Jiao, Xue Song, Chao You, Xu Liu, Lingling Li, Puhua Chen, Xu Tang, Zhixi Feng, Fang Liu, Yuwei Guo, Shuyuan Yang, Yangyang Li, Xiangrong Zhang, Wenping Ma, Shuang Wang, Jing Bai & Biao Hou<\/span><\/o:p><\/section>\n<\/section>\n
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\u2014\u2014 John   J. Hopfield<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n
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AI meets physics: a comprehensive survey <\/span><\/em>\u8fd9\u7bc7\u7efc\u8ff0\u6574\u7406\u4e86\u7269\u7406\u5b66\u4e2d\u56db\u5927\u9886\u57df<\/span>\uff08\u7ecf\u5178\u529b\u5b66\u3001\u7535\u78c1\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u3001\u91cf\u5b50\u529b\u5b66\uff09<\/span>\u7684\u601d\u60f3\u5982\u4f55\u6307\u5bfcAI\u6a21\u578b\u7684\u6784\u5efa\u3002\u6587\u7ae0\u7cfb\u7edf\u5730\u7efc\u8ff0\u4e86400\u591a\u4e2a\u7269\u7406\u79d1\u5b66\u601d\u60f3\u548c\u7269\u7406\u542f\u53d1\u7684\u6df1\u5ea6\u5b66\u4e60AI\u7b97\u6cd5\uff0c\u5176\u6846\u67b6\u6897\u6982\u5982\u56fe1\u6240\u793a\u3002<\/span><\/section>\n

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\u52a8\u529b\u5b66\u5206\u6790\u548c\u795e\u7ecf\u7f51\u7edc\u90fd\u80fd\u8868\u793a\u975e\u7ebf\u6027\u51fd\u6570\u3002\u5728\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u5404\u79cd\u975e\u7ebf\u6027\u51fd\u6570\u5b9e\u9645\u4e0a\u662f\u5728\u5404\u5c42\u4e4b\u95f4\u4f20\u64ad\u7684\u4fe1\u606f\u6ce2\u3002\u5982\u679c\u5c06\u771f\u5b9e\u4e16\u754c\u4e2d\u7684\u7269\u7406\u7cfb\u7edf\u7528\u795e\u7ecf\u7f51\u7edc\u6765\u8868\u793a\uff0c\u5c06\u5927\u5927\u63d0\u9ad8\u5c06\u8fd9\u4e9b\u7269\u7406\u7cfb\u7edf\u5e94\u7528\u4e8e\u4eba\u5de5\u667a\u80fd\u9886\u57df\u8fdb\u884c\u5206\u6790\u7684\u53ef\u80fd\u6027\u3002\u795e\u7ecf\u7f51\u7edc\u901a\u5e38\u9700\u8981\u4f7f\u7528\u5927\u91cf\u6570\u636e\u7528\u6765\u8bad\u7ec3\uff0c\u901a\u8fc7\u6700\u5c0f\u5316\u5b9e\u9645\u8f93\u51fa\u4e0e\u671f\u671b\u8f93\u51fa\u503c\u4e4b\u95f4\u7684\u5dee\u5f02\uff0c\u903c\u8fd1\u771f\u5b9e\u503c\uff0c\u53ef\u4ee5\u628a\u8fd9\u4e00\u5957\u201c\u9ed1\u7bb1\u201d\u7684\u795e\u7ecf\u7f51\u7edc\u53c2\u6570\u770b\u4f5c\u4e00\u4e2a\u590d\u6742\u7684\u975e\u7ebf\u6027\u51fd\u6570\u3002\u7136\u800c\uff0c\u8fd9\u79cd\u8bad\u7ec3\u65b9\u6cd5\u5b58\u5728\u201c\u6df7\u6c8c\u76f2\u201d<\/span>\uff08Chaos Blindness\uff09<\/span>\u7684\u7f3a\u70b9\uff0c\u5373AI\u7cfb\u7edf\u65e0\u6cd5\u5bf9\u7cfb\u7edf\u4e2d\u7684\u6df7\u6c8c<\/span>\uff08\u6216\u7a81\u53d8\uff09<\/span>\u505a\u51fa\u54cd\u5e94\u3002<\/span><\/section>\n

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\u745e\u58eb\u6570\u5b66\u5bb6\u7ea6\u7ff0\u00b7\u4f2f\u52aa\u5229\u63d0\u51fa\u7684\u6700\u901f\u4e0b\u964d\u66f2\u7ebf\u95ee\u9898\u4f7f\u5f97\u53d8\u5206\u6cd5\u6210\u4e3a\u6570\u5b66\u7269\u7406\u4e2d\u6c42\u89e3\u6781\u503c\u95ee\u9898\u7684\u91cd\u8981\u5de5\u5177\u3002\u53d8\u5206\u539f\u7406\u4e5f\u79f0\u4e3a\u6700\u5c0f\u4f5c\u7528\u91cf\u539f\u7406\uff0c\u5bf9\u53d8\u5206\u539f\u7406\u7684\u7814\u7a76\u5bfc\u81f4\u4e86\u7ecf\u5178\u529b\u5b66\u7684\u62c9\u683c\u6717\u65e5\u548c\u54c8\u5bc6\u987f\u516c\u5f0f\u7684\u53d1\u5c55\u3002<\/span><\/section>\n

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\u54c8\u5bc6\u987f\u795e\u7ecf\u7f51\u7edc\u548c\u62c9\u683c\u6717\u65e5\u795e\u7ecf\u7f51\u7edc<\/span><\/strong>\uff08Hamiltonian\/Lagrangian Neural Networks\uff09<\/span><\/strong><\/span>\u53d7\u5230\u7ecf\u5178\u529b\u5b66\u4e2d\u54c8\u5bc6\u987f\u548c\u62c9\u683c\u6717\u65e5\u8868\u8ff0\u7684\u542f\u53d1\u3002\u54c8\u5bc6\u987f\u8868\u8ff0\u4f7f\u7528\u76f8\u7a7a\u95f4\u548c\u80fd\u91cf\u51fd\u6570\u6765\u63cf\u8ff0\u7cfb\u7edf\u7684\u72b6\u6001\uff0c\u800c\u62c9\u683c\u6717\u65e5\u8868\u8ff0\u5219\u4fa7\u91cd\u4e8e\u7cfb\u7edf\u7684\u4f4d\u7f6e\u548c\u901f\u5ea6\u3002\u5728\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u6709\u4eba\u5c1d\u8bd5\u5728\u54c8\u5bc6\u987f\u795e\u7ecf\u7f51\u7edc\u4e2d\u5d4c\u5165\u7269\u7406\u6cd5\u5219\uff0c\u4f8b\u5982\u5b88\u6052\u5b9a\u5f8b\uff0c\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u9884\u6d4b\u80fd\u529b\u548c\u6cdb\u5316\u80fd\u529b\u3002\u54c8\u5bc6\u987f\u795e\u7ecf\u7f51\u7edc\u548c\u62c9\u683c\u6717\u65e5\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u7528\u4e8e\u5efa\u6a21\u548c\u9884\u6d4b\u5404\u79cd\u52a8\u529b\u5b66\u7cfb\u7edf\u7684\u884c\u4e3a\uff0c\u5305\u62ec\u673a\u68b0\u7cfb\u7edf\u3001\u6d41\u4f53\u52a8\u529b\u5b66\u7cfb\u7edf\u3001\u5929\u4f53\u8fd0\u52a8\u7b49\u3002\u901a\u8fc7\u5b66\u4e60\u7cfb\u7edf\u7684\u52a8\u529b\u5b66\u89c4\u5f8b\uff0c\u8fd9\u4e9b\u7f51\u7edc\u80fd\u591f\u9884\u6d4b\u7cfb\u7edf\u5728\u672a\u6765\u7684\u72b6\u6001\u3002\u5728\u63a7\u5236\u7406\u8bba\u4e2d\uff0c\u54c8\u5bc6\u987f\u795e\u7ecf\u7f51\u7edc\u548c\u62c9\u683c\u6717\u65e5\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u7528\u6765\u8bbe\u8ba1\u548c\u4f18\u5316\u63a7\u5236\u5668\uff0c\u5b83\u4eec\u53ef\u4ee5\u5e2e\u52a9\u786e\u5b9a\u5982\u4f55\u901a\u8fc7\u63a7\u5236\u8f93\u5165\u6765\u5f15\u5bfc\u7cfb\u7edf\u4ece\u4e00\u4e2a\u72b6\u6001\u8f6c\u79fb\u5230\u53e6\u4e00\u4e2a\u72b6\u6001\uff0c\u540c\u65f6\u9075\u5b88\u7269\u7406\u6cd5\u5219\u3002\u5728\u4f18\u5316\u95ee\u9898\u4e2d\uff0c\u54c8\u5bc6\u987f\u795e\u7ecf\u7f51\u7edc\u548c\u62c9\u683c\u6717\u65e5\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u5e2e\u52a9\u5bfb\u627e\u7cfb\u7edf\u7684\u6700\u4f18\u63a7\u5236\u7b56\u7565\uff0c\u4ee5\u6700\u5c0f\u5316\u80fd\u91cf\u6d88\u8017\u6216\u6700\u5927\u5316\u7cfb\u7edf\u6027\u80fd\u3002<\/span><\/section>\n

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\u201cNeural Network Differential Equation Solvers\u201d\u90e8\u5206\u63a2\u8ba8\u4e86\u5982\u4f55\u5c06\u795e\u7ecf\u7f51\u7edc\u8bbe\u8ba1\u6210\u80fd\u591f\u6c42\u89e3\u5fae\u5206\u65b9\u7a0b\u7684\u7cfb\u7edf\uff0c\u8fd9\u4e9b\u7cfb\u7edf\u80fd\u591f\u6a21\u62df\u548c\u9884\u6d4b\u7269\u7406\u4e16\u754c\u4e2d\u7684\u52a8\u6001\u884c\u4e3a\u3002\u8fd9\u79cd\u65b9\u6cd5\u7684\u6838\u5fc3\u5728\u4e8e\u5c06\u7269\u7406\u6cd5\u5219\uff0c\u5982\u80fd\u91cf\u5b88\u6052\u548c\u52a8\u91cf\u5b88\u6052\uff0c\u76f4\u63a5\u5d4c\u5165\u5230\u795e\u7ecf\u7f51\u7edc\u7684\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u4ece\u800c\u786e\u4fdd\u6a21\u578b\u7684\u9884\u6d4b\u4e0d\u4ec5\u7b26\u5408\u6570\u636e\u7279\u5f81\uff0c\u8fd8\u9075\u5faa\u7269\u7406\u5b9a\u5f8b\u3002<\/span><\/section>\n

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\u5e38\u5fae\u5206\u65b9\u7a0b\u795e\u7ecf\u7f51\u7edc\u548c\u504f\u5fae\u5206\u65b9\u7a0b\u795e\u7ecf\u7f51\u7edc\u662f\u8fd9\u4e00\u9886\u57df\u7684\u4e24\u4e2a\u4e3b\u8981\u65b9\u5411\u3002\u5e38\u5fae\u5206\u65b9\u7a0b\u795e\u7ecf\u7f51\u7edc\u4e13\u6ce8\u4e8e\u6c42\u89e3\u63cf\u8ff0\u7cfb\u7edf\u72b6\u6001\u968f\u65f6\u95f4\u53d8\u5316\u7684\u65b9\u7a0b\uff0c\u800c\u504f\u5fae\u5206\u65b9\u7a0b\u795e\u7ecf\u7f51\u7edc\u5219\u5904\u7406\u6d89\u53ca\u7a7a\u95f4\u53d8\u5316\u7684\u65b9\u7a0b\u3002\u8fd9\u4e9b\u7f51\u7edc\u901a\u8fc7\u5b66\u4e60\u5fae\u5206\u65b9\u7a0b\u7684\u89e3\uff0c\u80fd\u591f\u6a21\u62df\u4ece\u6d41\u4f53\u52a8\u529b\u5b66\u5230\u7ed3\u6784\u529b\u5b66\uff0c\u518d\u5230\u91cf\u5b50\u5316\u5b66\u7b49\u4e00\u7cfb\u5217\u590d\u6742\u7684\u7269\u7406\u8fc7\u7a0b\u3002<\/span><\/section>\n

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\u7269\u7406\u4fe1\u606f\u795e\u7ecf\u7f51\u7edc<\/span>\uff08Physics-Informed Neural Networks, PINNs\uff09<\/span>\u662f\u8fd9\u4e00\u9886\u57df\u7684\u7a81\u51fa\u4ee3\u8868\u3002\u7269\u7406\u4fe1\u606f\u795e\u7ecf\u7f51\u7edc\u901a\u8fc7\u5c06\u5fae\u5206\u65b9\u7a0b\u4f5c\u4e3a\u7ea6\u675f\u6761\u4ef6\u76f4\u63a5\u5d4c\u5165\u5230\u795e\u7ecf\u7f51\u7edc\u7684\u635f\u5931\u51fd\u6570\u4e2d\uff0c\u786e\u4fdd\u4e86\u7f51\u7edc\u9884\u6d4b\u7684\u7269\u7406\u53ef\u884c\u6027\u3002<\/strong>\u8fd9\u79cd\u65b9\u6cd5\u5728\u5904\u7406\u9006\u95ee\u9898\u3001\u9884\u6d4b\u590d\u6742\u7cfb\u7edf\u884c\u4e3a\u4ee5\u53ca\u5728\u6570\u636e\u7a00\u7f3a\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u5efa\u6a21\u65b9\u9762\u663e\u793a\u51fa\u4e86\u5de8\u5927\u7684\u6f5c\u529b\u3002<\/span><\/section>\n

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\u603b\u7684\u6765\u8bf4\uff0cNeural Network Differential Equation Solvers \u90e8\u5206\u5c55\u793a\u4e86\u6df1\u5ea6\u5b66\u4e60\u5728\u6c42\u89e3\u5fae\u5206\u65b9\u7a0b\u65b9\u9762\u7684\u6f5c\u529b\uff0c\u5f3a\u8c03\u4e86\u5c06\u7269\u7406\u6cd5\u5219\u6574\u5408\u5230\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\u4e2d\u7684\u91cd\u8981\u6027\uff0c\u4ee5\u53ca\u8fd9\u79cd\u65b9\u6cd5\u5728\u89e3\u51b3\u5b9e\u9645\u7269\u7406\u95ee\u9898\u4e2d\u7684\u5e94\u7528\u524d\u666f\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0cAI\u6a21\u578b\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u548c\u9884\u6d4b\u7269\u7406\u4e16\u754c\u4e2d\u7684\u590d\u6742\u73b0\u8c61\uff0c\u4e3a\u79d1\u5b66\u7814\u7a76\u548c\u5de5\u7a0b\u8bbe\u8ba1\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\u3002<\/span><\/section>\n

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\u8fd9\u4e9b\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8303\u5f0f\u901a\u8fc7\u6a21\u4eff\u7ecf\u5178\u529b\u5b66\u7684\u539f\u7406\uff0c\u5982\u80fd\u91cf\u5b88\u6052\u3001\u52a8\u91cf\u5b88\u6052\u548c\u5bf9\u79f0\u6027\uff0c\u6765\u63d0\u9ad8\u7f51\u7edc\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u548c\u53ef\u89e3\u91ca\u6027\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u7269\u7406\u5b66\u4e0d\u4ec5\u4e3a\u6211\u4eec\u63d0\u4f9b\u4e86\u7406\u89e3\u81ea\u7136\u754c\u7684\u6846\u67b6\uff0c\u8fd8\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u63d0\u4f9b\u4e86\u65b0\u7684\u5de5\u5177\u548c\u65b9\u6cd5\u3002<\/span><\/section>\n

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\u7535\u78c1\u5b66\u662f\u7814\u7a76\u7535\u78c1\u573a\u7684\u4ea7\u751f\u3001\u4f20\u64ad\u548c\u76f8\u4e92\u4f5c\u7528\u7684\u7269\u7406\u5b66\u5206\u652f\u3002\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\uff0c\u7535\u78c1\u5b66\u7684\u539f\u7406\u88ab\u7528\u6765\u8bbe\u8ba1\u548c\u4f18\u5316\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u4ee5\u5904\u7406\u4e0e\u7535\u78c1\u73b0\u8c61\u76f8\u5173\u7684\u6570\u636e\u548c\u95ee\u9898\u3002\u201cDeep neural network paradigms inspired by electromagnetics\u201d\u90e8\u5206\u63a2\u8ba8\u4e86\u7535\u78c1\u5b66\u5bf9\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8bbe\u8ba1\u7684\u542f\u53d1\u3002<\/span><\/section>\n

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\u5149\u5b66\u795e\u7ecf\u7f51\u7edc\u662f\u5229\u7528\u5149\u5b66\u6280\u672f\uff0c\u5982\u5149\u5b66\u8fde\u63a5\u6280\u672f\u3001\u5149\u5b66\u5668\u4ef6\u6280\u672f\u7b49\uff0c\u8bbe\u8ba1\u7684\u65b0\u578b\u795e\u7ecf\u7f51\u7edc\u3002\u8fd9\u4e9b\u7f51\u7edc\u7684\u8bbe\u8ba1\u7406\u5ff5\u662f\u6a21\u4eff\u795e\u7ecf\u7f51\u7edc\u901a\u8fc7\u5149\u7684\u7279\u5f81\uff0c\u5982\u632f\u5e45\u3001\u5f3a\u5ea6\u3001\u76f8\u4f4d\u548c\u504f\u632f\u6765\u643a\u5e26\u4fe1\u606f\uff0c\u5e76\u5229\u7528\u5149\u7684\u5e72\u6d89\u3001\u884d\u5c04\u3001\u4f20\u8f93\u548c\u53cd\u5c04\u7b49\u539f\u7406\u6765\u5b9e\u73b0\u795e\u7ecf\u7f51\u7edc\u53ca\u5176\u8fd0\u7b97\u3002\u6700\u65e9\u7684\u5149\u5b66\u795e\u7ecf\u7f51\u7edc\u662f\u5149\u5b66Hopfield\u7f51\u7edc\uff0c\u7531Demetri Psaltis\u548cFarhat\u57281985\u5e74\u63d0\u51fa\u3002\u6587\u7ae0\u4e2d\u4ecb\u7ecd\u4e86\u5149\u5b66\u5b9e\u73b0\u7ebf\u6027\u64cd\u4f5c\u3001\u975e\u7ebf\u6027\u6fc0\u6d3b\u64cd\u4f5c\u548c\u5377\u79ef\u64cd\u4f5c\u7684\u65b9\u6cd5\uff0c\u8fd9\u4e9b\u64cd\u4f5c\u662f\u4f20\u7edf\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684\u5173\u952e\u7ec4\u6210\u90e8\u5206\u3002<\/span><\/section>\n

\u7535\u78c1\u5b66\u7684\u539f\u7406\u5728\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684\u5e94\u7528\u4e0d\u4ec5\u9650\u4e8e\u5149\u5b66\u795e\u7ecf\u7f51\u7edc\u3002\u4f8b\u5982\uff0c\u7535\u78c1\u573a\u7684\u8ba1\u7b97\u548c\u6a21\u62df\u53ef\u4ee5\u901a\u8fc7\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u6765\u589e\u5f3a\uff0c\u4ece\u800c\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u548c\u51c6\u786e\u6027\u3002\u6b64\u5916\uff0c\u7535\u78c1\u5b66\u4e2d\u7684\u6ce2\u52a8\u65b9\u7a0b\u548c\u9ea6\u514b\u65af\u97e6\u65b9\u7a0b\u7ec4\u7684\u89e3\u53ef\u4ee5\u901a\u8fc7\u795e\u7ecf\u7f51\u7edc\u6765\u8fd1\u4f3c\uff0c\u8fd9\u5728\u5929\u7ebf\u8bbe\u8ba1\u3001\u5fae\u6ce2\u5de5\u7a0b\u548c\u5149\u5b66\u6210\u50cf\u7b49\u9886\u57df\u5177\u6709\u6f5c\u5728\u7684\u5e94\u7528\u4ef7\u503c\u3002<\/span><\/section>\n

\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u5c24\u5176\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/span>\uff08CNNs\uff09<\/span>\uff0c\u5728\u56fe\u50cf\u548c\u4fe1\u53f7\u5904\u7406\u65b9\u9762\u8868\u73b0\u51fa\u8272\u3002\u8fd9\u4e9b\u6a21\u578b\u53ef\u4ee5\u88ab\u8bad\u7ec3\u6765\u8bc6\u522b\u548c\u5904\u7406\u7535\u78c1\u573a\u4e2d\u7684\u6a21\u5f0f\uff0c\u5982\u7535\u78c1\u6ce2\u7684\u4f20\u64ad\u7279\u6027\u3001\u5929\u7ebf\u7684\u8f90\u5c04\u6a21\u5f0f\u7b49\u3002\u901a\u8fc7\u5b66\u4e60\u8fd9\u4e9b\u590d\u6742\u7684\u7535\u78c1\u73b0\u8c61\uff0c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u80fd\u591f\u63d0\u4f9b\u5bf9\u7535\u78c1\u573a\u884c\u4e3a\u7684\u6df1\u5165\u7406\u89e3\uff0c\u5e76\u5728\u8bbe\u8ba1\u548c\u4f18\u5316\u7535\u78c1\u7cfb\u7edf\u65b9\u9762\u53d1\u6325\u4f5c\u7528\u3002<\/span><\/section>\n

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\u603b\u7684\u6765\u8bf4\uff0c\u201cDeep neural network paradigms inspired by electromagnetics\u201d \u90e8\u5206\u5c55\u793a\u4e86\u7535\u78c1\u5b66\u539f\u7406\u5982\u4f55\u542f\u53d1\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7684\u8bbe\u8ba1\u548c\u5e94\u7528\u3002\u901a\u8fc7\u5c06\u7535\u78c1\u5b66\u7684\u6982\u5ff5\u548c\u65b9\u6cd5\u878d\u5165\u5230\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u5f00\u53d1\u51fa\u80fd\u591f\u5904\u7406\u590d\u6742\u7535\u78c1\u73b0\u8c61\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u8fd9\u4e9b\u5de5\u5177\u5728\u901a\u4fe1\u3001\u96f7\u8fbe\u3001\u533b\u7597\u6210\u50cf\u548c\u8bb8\u591a\u5176\u4ed6\u9886\u57df\u90fd\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\u524d\u666f\u3002\u8fd9\u4e9b\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8303\u5f0f\u901a\u8fc7\u6a21\u4eff\u7535\u78c1\u5b66\u7684\u539f\u7406\uff0c\u5982\u6ce2\u52a8\u4f20\u64ad\u3001\u5e72\u6d89\u548c\u884d\u5c04\uff0c\u6765\u63d0\u9ad8\u7f51\u7edc\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u548c\u53ef\u89e3\u91ca\u6027\u3002<\/span><\/section>\n

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\u7edf\u8ba1\u7269\u7406\u7684\u7814\u7a76\u5bf9\u8c61\u662f\u7531\u5927\u91cf\u7c92\u5b50<\/span>\uff08\u6216\u5927\u91cf\u81ea\u7531\u5ea6\uff09<\/span>\u6784\u6210\u7684\u5b8f\u89c2\u7cfb\u7edf\uff0c\u76ee\u7684\u662f\u7814\u7a76\u8fd9\u4e9b\u7cfb\u7edf\u4e0e\u70ed\u73b0\u8c61\u6709\u5173\u7684\u5b8f\u89c2\u6027\u8d28\u3002\u4e0d\u8fc7\u4e0e\u70ed\u529b\u5b66\u7684\u7814\u7a76\u65b9\u6cd5\u4e0d\u540c\u7684\u662f\uff0c\u70ed\u529b\u5b66\u662f\u4ece\u82e5\u5e72\u7ecf\u9a8c\u5b9a\u5f8b\u51fa\u53d1\uff0c\u901a\u8fc7\u6570\u5b66\u4e0a\u7684\u903b\u8f91\u6f14\u7ece\u65b9\u6cd5\uff0c\u6700\u7ec8\u5bfc\u51fa\u7cfb\u7edf\u7684\u5b8f\u89c2\u6027\u8d28\uff1b\u800c\u7edf\u8ba1\u7269\u7406\u5219\u662f\u4ece\u5355\u4e2a\u7c92\u5b50\u7684\u529b\u5b66\u8fd0\u52a8\u89c4\u5f8b\u51fa\u53d1\uff0c\u52a0\u4e0a\u7edf\u8ba1\u7684\u5047\u8bbe\uff0c\u6700\u7ec8\u6765\u83b7\u5f97\u7cfb\u7edf\u7684\u5b8f\u89c2\u6027\u8d28\u3002\u7edf\u8ba1\u7269\u7406\u662f\u5fae\u89c2\u4e0e\u5b8f\u89c2\u7684\u6865\u6881\uff0c\u5b83\u63d0\u4f9b\u4e86\u7814\u7a76\u7269\u8d28\u4e16\u754c\u5b8f\u89c2\u6027\u8d28\u7684\u4e00\u4e2a\u5f3a\u6709\u529b\u7684\u7406\u8bba\u5de5\u5177\u3002\u5728\u673a\u5668\u5b66\u4e60\u4e2d\uff0c\u7edf\u8ba1\u7269\u7406\u7684\u601d\u60f3\u5e38\u88ab\u7528\u6765\u8bbe\u8ba1\u5904\u7406\u5177\u6709\u968f\u673a\u6027\u7684\u6a21\u578b\uff0c\u7edf\u8ba1\u7269\u7406\u5b66\u4e2d\u7684\u8bb8\u591a\u6982\u5ff5<\/span>\uff08\u6bd4\u5982\u71b5\u3001\u6df7\u6c8c\uff09<\/span>\u548c\u4e00\u4e9b\u7ecf\u5178\u7269\u7406\u6a21\u578b<\/span>\uff08\u6bd4\u5982\u4f0a\u8f9b\u6a21\u578b\uff09<\/span>\u5e38\u88ab\u501f\u9274\u5230\u673a\u5668\u5b66\u4e60\u4e2d\u3002<\/span><\/section>\n

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\u7edf\u8ba1\u7269\u7406\u901a\u5e38\u5305\u542b\u5e73\u8861\u6001\u7edf\u8ba1\u7269\u7406\u4e0e\u975e\u5e73\u8861\u6001\u7edf\u8ba1\u7269\u7406\uff1a\u524d\u8005\u53ea\u6d89\u53ca\u6240\u6709\u5b8f\u89c2\u6027\u8d28\u4e0e\u65f6\u95f4\u65e0\u5173\u7684\u884c\u4e3a\uff0c\u800c\u540e\u8005\u5219\u6d89\u53ca\u7cfb\u7edf\u7684\u65f6\u95f4\u6f14\u5316\u884c\u4e3a\u3002\u6709\u8da3\u7684\u662f\uff0c\u7cfb\u7edf\u5982\u4f55\u4ece\u975e\u5e73\u8861\u5411\u5e73\u8861\u6f14\u5316\uff0c\u4e3a\u4ec0\u4e48\u6240\u6709\u7cfb\u7edf\u90fd\u8fbe\u5230\u7edf\u8ba1\u610f\u4e49\u4e0a\u7684\u76f8\u540c\u5e73\u8861\u6001\u800c\u4e0e\u5b83\u4eec\u5404\u81ea\u7684\u52a8\u529b\u5b66\u65e0\u5173\uff0c\u4ee5\u53ca\u662f\u5426\u771f\u7684\u4e0e\u52a8\u529b\u5b66\u65e0\u5173\u7b49\u95ee\u9898\uff0c\u81f3\u4eca\u4ecd\u662f\u6709\u5f85\u8fdb\u4e00\u6b65\u7814\u7a76\u7684\u95ee\u9898\uff0c\u5176\u4e2d\u5305\u542b\u6df1\u523b\u7684\u7269\u7406\u548c\u54f2\u5b66\u95ee\u9898\u3002<\/span><\/section>\n
\u2014\u2014 \u6768\u5c55\u5982 \u300a\u91cf\u5b50\u7edf\u8ba1\u7269\u7406\u5b66\u300b<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u5728\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u6a21\u578b\u63a5\u6536\u4fe1\u606f\u7684\u901f\u5ea6\u662f\u56fa\u5b9a\u7684\uff0c\u56e0\u6b64\u52a0\u5feb\u5b66\u4e60\u8fdb\u5ea6\u7684\u552f\u4e00\u65b9\u6cd5\u662f\u51cf\u5c11\u5b66\u4e60\u76ee\u6807\u4e2d\u5197\u4f59\u4fe1\u606f\u7684\u6570\u91cf\u3002\u6240\u8c13\u201c\u53bb\u7c97\u5b58\u7cbe\u201d\uff0c\u5c31\u662f\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4e2d\u7684\u6700\u5c0f\u71b5\u539f\u7406\uff0c\u53ef\u4ee5\u7406\u89e3\u4e3a\u201c\u53bb\u9664\u4e0d\u5fc5\u8981\u7684\u5b66\u4e60\u6210\u672c\u201d\u3002<\/span><\/section>\n

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\u56fe3 \u51cf\u5c11\u5b66\u4e60\u76ee\u6807\u4e2d\u5197\u4f59\u4fe1\u606f<\/span><\/section>\n

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\u4ece\u4f0a\u8f9b\u6a21\u578b\u5230\u970d\u666e\u83f2\u5c14\u5fb7\u7f51\u7edc<\/span><\/strong><\/span><\/section>\n

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\u4f0a\u8f9b\u6a21\u578b<\/span>\uff08Ising model\uff09<\/span>\u662f\u7edf\u8ba1\u7269\u7406\u4e2d\u6700\u91cd\u8981\u7684\u6a21\u578b\u4e4b\u4e00\uff0c\u5b83\u901a\u8fc7\u63cf\u8ff0\u7c92\u5b50\u7684\u81ea\u65cb\u72b6\u6001\u6765\u7814\u7a76\u7269\u8d28\u7684\u78c1\u6027\u884c\u4e3a\u3002\u5bf9\u4e8e\u4f0a\u8f9b\u6a21\u578b\uff0c\u5982\u679c\u6240\u6709\u81ea\u65cb\u65b9\u5411\u76f8\u540c\uff0c\u5219\u7cfb\u7edf\u7684\u54c8\u5bc6\u987f\u91cf\u5904\u4e8e\u6700\u5c0f\u503c\u30021982\u5e74\uff0cHopfield\u53d7\u4f0a\u8f9b\u6a21\u578b\u7684\u542f\u53d1\uff0c\u63d0\u51fa\u4e86Hopfield\u795e\u7ecf\u7f51\u7edc\u3002Hopfield\u7f51\u7edc\u901a\u8fc7\u6a21\u62df\u795e\u7ecf\u5143\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u6765\u5b58\u50a8\u548c\u56de\u5fc6\u4fe1\u606f\u2014\u2014\u5b83\u53ef\u4ee5\u89e3\u51b3\u4e00\u5927\u7c7b\u6a21\u5f0f\u8bc6\u522b\u95ee\u9898\uff0c\u4e5f\u53ef\u4ee5\u7ed9\u51fa\u4e00\u7c7b\u7ec4\u5408\u4f18\u5316\u95ee\u9898\u7684\u8fd1\u4f3c\u89e3\u3002<\/span><\/section>\n

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\u56fe4 \u4f0a\u8f9b\u6a21\u578b\u4e0e\u970d\u666e\u83f2\u5c14\u5fb7\u7f51\u7edc\u7684\u7c7b\u6bd4<\/span><\/section>\n

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Hopfield\u5229\u7528\u80fd\u91cf\u51fd\u6570\u7684\u601d\u60f3\u5f62\u6210\u4e86\u4e00\u79cd\u65b0\u7684\u8ba1\u7b97\u65b9\u6cd5\uff0c\u9610\u660e\u4e86\u795e\u7ecf\u7f51\u7edc\u4e0e\u52a8\u529b\u5b66\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u4ed6\u5229\u7528\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u65b9\u6cd5\u7814\u7a76\u4e86\u8fd9\u79cd\u795e\u7ecf\u7f51\u7edc\u7684\u7279\u6027\uff0c\u5e76\u5efa\u7acb\u4e86\u795e\u7ecf\u7f51\u7edc\u7684\u7a33\u5b9a\u6027\u5224\u636e\u3002\u800c\u4e14\uff0c\u4ed6\u6307\u51fa\u4fe1\u606f\u662f\u5b58\u50a8\u5728\u7f51\u7edc\u7684\u5404\u4e2a\u795e\u7ecf\u5143\u4e4b\u95f4\u7684\u8fde\u63a5<\/strong>\u4e0a\uff0c\u5f62\u6210\u4e86\u6240\u8c13\u7684Hopfield\u7f51\u7edc\u3002<\/span><\/section>\n

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\u5c06\u8111\u795e\u7ecf\u7f51\u7edc\u4e0e\u7edf\u8ba1\u7269\u7406\u4e2d\u7684\u4f0a\u8f9b\u6a21\u578b\u8fdb\u884c\u5bf9\u6bd4\uff0c\u5c06\u78c1\u81ea\u65cb\u7684\u5411\u4e0a\u548c\u5411\u4e0b\u4e24\u4e2a\u65b9\u5411\u89c6\u4e3a\u795e\u7ecf\u5143\u7684\u6fc0\u6d3b\u548c\u6291\u5236\u4e24\u79cd\u72b6\u6001\uff0c\u5c06\u78c1\u81ea\u65cb\u7684\u76f8\u4e92\u4f5c\u7528\u89c6\u4e3a\u795e\u7ecf\u5143\u7684\u7a81\u89e6\u6743\u91cd\u503c\uff0c\u8fd9\u79cd\u7c7b\u6bd4\u4e3a\u5927\u91cf\u7684\u7269\u7406\u7406\u8bba\u548c\u8bb8\u591a\u7269\u7406\u5b66\u5bb6\u8fdb\u5165\u795e\u7ecf\u7f51\u7edc\u9886\u57df\u94fa\u5e73\u4e86\u9053\u8def\u3002<\/span><\/section>\n

<\/section>\n
\u7ecf\u5178\u6a21\u62df\u9000\u706b\u7b97\u6cd5<\/span><\/strong><\/section>\n
\n
\n
\u7269\u7406\u9000\u706b\u8fc7\u7a0b\uff1a\u9996\u5148\u7269\u4f53\u5904\u4e8e\u975e\u6676\u6001\uff0c\u7136\u540e\u5c06\u56fa\u4f53\u52a0\u70ed\u5230\u8db3\u591f\u9ad8\u7684\u6c34\u5e73\u4f7f\u5176\u65e0\u5e8f\u5316\uff0c\u7136\u540e\u7f13\u6162\u51b7\u5374\uff0c\u9000\u706b\u5230\u6676\u4f53(\u5e73\u8861\u6001)\u3002<\/span><\/section>\n<\/section>\n<\/blockquote>\n

<\/span><\/section>\n
1983\u5e74\uff0cMetropolis\u7b49\u4eba\u9996\u5148\u63d0\u51fa\u4e86\u6a21\u62df\u9000\u706b\u7b97\u6cd5\uff0cKirkpatrick \u7b49\u4eba\u5c06\u5176\u5e94\u7528\u5230\u7ec4\u5408\u4f18\u5316\u4e2d\uff0c\u5229\u7528\u7269\u7406\u4e2d\u56fa\u4f53\u7269\u8d28\u7684\u9000\u706b\u8fc7\u7a0b\u4e0e\u4e00\u822c\u4f18\u5316\u95ee\u9898\u7684\u76f8\u4f3c\u6027\uff0c\u63d0\u51fa\u4e86\u7ecf\u5178\u7684\u6a21\u62df\u9000\u706b\u7b97\u6cd5\uff1a\u4ece\u67d0\u4e00\u521d\u59cb\u6e29\u5ea6\u5f00\u59cb\uff0c\u968f\u7740\u6e29\u5ea6\u7684\u4e0d\u65ad\u964d\u4f4e\uff0c\u7ed3\u5408Metropolis\u51c6\u5219<\/span>\uff08\u4ee5\u4e00\u5b9a\u6982\u7387\u6982\u7387\u63a5\u53d7\u65b0\u7684\u72b6\u6001\uff09<\/span>\u7684\u6982\u7387\u7a81\u53d8\u7279\u6027\uff0c\u5728\u89e3\u7a7a\u95f4\u4e2d\u8fdb\u884c\u641c\u7d22\uff0c\u4ee5\u6982\u73871\u505c\u7559\u5728\u6700\u4f18\u89e3<\/span>\uff08\u56fe5\uff09<\/span>\u3002<\/span><\/section>\n

<\/section>\n<\/section>\n
\n
<\/section>\n<\/section>\n
\n
\u56fe5 \u5168\u5c40\u6700\u4f18\u641c\u7d22\u8fc7\u7a0b<\/span><\/section>\n<\/section>\n

<\/section>\n
\n
\u73bb\u5c14\u5179\u66fc\u673a\u795e\u7ecf\u7f51\u7edc<\/span><\/strong><\/span><\/section>\n

<\/span><\/strong><\/section>\n
1985\u5e74\uff0cHinton\u63d0\u51fa\u4e86\u73bb\u5c14\u5179\u66fc\u673a<\/span>\uff08Boltzmann Machine\uff0cBM\uff09<\/span>\uff0c\u73bb\u5c14\u5179\u66fc\u673a\u5728\u7269\u7406\u5b66\u4e2d\u5e38\u88ab\u79f0\u4e3a\u9006\u4f0a\u8f9b\u6a21\u578b\u3002\u5b83\u5728\u795e\u7ecf\u5143\u7684\u72b6\u6001\u53d8\u5316\u4e2d\u5f15\u5165\u7edf\u8ba1\u6982\u7387\uff0c\u7f51\u7edc\u7684\u5e73\u8861\u6001\u670d\u4ece\u73bb\u5c14\u5179\u66fc\u5206\u5e03\uff0c\u7f51\u7edc\u8fd0\u884c\u673a\u5236\u57fa\u4e8e\u4e00\u79cd\u6a21\u62df\u9000\u706b\u7b97\u6cd5<\/span>\uff08\u56fe6\uff09<\/span>\uff0c\u662f\u4e00\u79cd\u5f88\u597d\u7684\u5168\u5c40\u6700\u4f18\u641c\u7d22\u65b9\u6cd5\uff0c\u5728\u4e00\u5b9a\u8303\u56f4\u5185\u88ab\u5e7f\u6cdb\u5e94\u7528\u3002<\/span><\/section>\n

<\/section>\n<\/section>\n
\n
<\/section>\n<\/section>\n
\n
\u56fe6 \u73bb\u5c14\u5179\u66fc\u673a\u7684\u7ec4\u6210\u53ca\u7ed3\u6784\u56fe<\/span><\/section>\n

<\/section>\n
\u53d7\u9650\u73bb\u5c14\u5179\u66fc\u673a<\/span>\uff08Restricted Boltzmann Machine\uff0cRBM\uff09<\/span>\u662f\u73bb\u5c14\u5179\u66fc\u673a\u7684\u4e00\u79cd\uff0c\u5176\u795e\u7ecf\u5143\u4e4b\u95f4\u8868\u73b0\u51fa\u7279\u5b9a\u7684\u7ed3\u6784\u548c\u76f8\u4e92\u4f5c\u7528\u6a21\u5f0f\u3002RBM\u7684\u76ee\u6807\u662f\u4ee5\u6700\u5927\u5316\u89c2\u6d4b\u6570\u636e\u7684\u4f3c\u7136\u6982\u7387\u7684\u65b9\u5f0f\u8c03\u6574\u5176\u7f51\u7edc\u53c2\u6570\u3002\u901a\u8fc7\u5b66\u4e60\u53ef\u89c1\u5355\u5143\u548c\u9690\u85cf\u5355\u5143\u4e4b\u95f4\u8fde\u63a5\u7684\u6743\u91cd\u548c\u504f\u7f6e\uff0cRBM\u65e8\u5728\u6355\u83b7\u548c\u8868\u793a\u6570\u636e\u4e2d\u5b58\u5728\u7684\u6f5c\u5728\u6a21\u5f0f\u548c\u4f9d\u8d56\u5173\u7cfb\u3002\u901a\u8fc7\u8fed\u4ee3\u5b66\u4e60\u8fc7\u7a0b\uff0cRBM\u8c03\u6574\u5176\u53c2\u6570\u4ee5\u63d0\u9ad8\u751f\u6210\u89c2\u6d4b\u6570\u636e\u7684\u53ef\u80fd\u6027\uff0c\u4ece\u800c\u589e\u5f3a\u5176\u5efa\u6a21\u548c\u751f\u6210\u76f8\u4f3c\u6570\u636e\u5b9e\u4f8b\u7684\u80fd\u529b\u3002<\/span><\/section>\n

<\/section>\n
2. \u57fa\u4e8e\u80fd\u91cf\u6a21\u578b\u8bbe\u8ba1\u795e\u7ecf\u7f51\u7edc<\/span><\/strong><\/span><\/section>\n

<\/section>\n
\u5728\u7269\u7406\u5b66\u4e2d\uff0c\u80fd\u91cf\u662f\u7cfb\u7edf\u72b6\u6001\u7684\u4e00\u4e2a\u6838\u5fc3\u6982\u5ff5\uff0c\u5b83\u4e0e\u7cfb\u7edf\u7684\u884c\u4e3a\u548c\u53d8\u5316\u5bc6\u5207\u76f8\u5173\u3002\u7cfb\u7edf\u7684\u7a33\u5b9a\u72b6\u6001\u5b9e\u9645\u4e0a\u4ee3\u8868\u4e86\u5176\u5bf9\u5e94\u7684\u52bf\u80fd\u6700\u4f4e\u7684\u72b6\u6001\u3002\u5c06\u8fd9\u4e2a\u601d\u60f3\u8fc1\u79fb\u5230\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u53ef\u4ee5\u6784\u9020\u51fa\u795e\u7ecf\u7f51\u7edc\u5904\u4e8e\u7a33\u6001\u65f6\u80fd\u91cf\u51fd\u6570\u7684\u5b9a\u4e49\u3002\u5728\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u80fd\u91cf\u7684\u6982\u5ff5\u88ab\u7528\u6765\u5206\u6790\u548c\u4f18\u5316\u7f51\u7edc\u7684\u635f\u5931\u51fd\u6570\uff0c\u901a\u8fc7\u5bfb\u627e\u80fd\u91cf\u6700\u5c0f\u5316\u7684\u72b6\u6001\u6765\u8bad\u7ec3\u7f51\u7edc\uff0c\u63d0\u9ad8\u7f51\u7edc\u7684\u6027\u80fd\u548c\u6cdb\u5316\u80fd\u529b\u3002<\/span><\/section>\n

<\/section>\n
\u6211\u4eec\u8033\u719f\u80fd\u8be6\u7684\u4e00\u4e9b\u795e\u7ecf\u7f51\u7edc\u5176\u5b9e\u90fd\u662f\u57fa\u4e8e\u80fd\u91cf\u6a21\u578b\u6765\u8bbe\u8ba1\u7684\uff0c\u5982\u751f\u6210\u5bf9\u6297\u7f51\u7edc<\/span>\uff08GANs\uff09<\/span>\u3001\u53d8\u5206\u81ea\u7f16\u7801\u5668<\/span>\uff08Variational Autoencoder, VAE\uff09<\/span>\u3001\u81ea\u56de\u5f52\u6a21\u578b<\/span>\uff08Autoregressive Models\uff09<\/span>\u7b49\u7b49\u3002<\/span><\/section>\n

<\/section>\n
GANs\u901a\u8fc7\u5f15\u5165\u4e00\u4e2a\u751f\u6210\u5668\u7f51\u7edc\u548c\u4e00\u4e2a\u5224\u522b\u5668\u7f51\u7edc\u7684\u5bf9\u6297\u8fc7\u7a0b\uff0c\u751f\u6210\u5668\u7f51\u7edc\u8bd5\u56fe\u751f\u6210\u4e0e\u771f\u5b9e\u6570\u636e\u76f8\u4f3c\u7684\u6570\u636e\uff0c\u800c\u5224\u522b\u5668\u7f51\u7edc\u5219\u8bd5\u56fe\u533a\u5206\u771f\u5b9e\u6570\u636e\u548c\u751f\u6210\u6570\u636e\u3002\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\u7684\u201c\u80fd\u91cf\u201d\u6700\u5c0f\u5316\u5bf9\u5e94\u4e8e\u751f\u6210\u6570\u636e\u7684\u8d28\u91cf\u548c\u771f\u5b9e\u6027<\/strong>\u3002<\/span><\/section>\n

<\/section>\n
VAE\u662f\u4e00\u79cd\u5229\u7528\u6982\u7387\u751f\u6210\u6a21\u578b\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5b83\u901a\u8fc7\u6700\u5c0f\u5316\u8f93\u5165\u6570\u636e\u548c\u751f\u6210\u6570\u636e\u4e4b\u95f4\u7684\u81ea\u7531\u80fd\u5dee\u5f02\u6765\u5b66\u4e60\u6570\u636e\u7684\u6709\u6548\u8868\u793a<\/strong>\u3002VAE\u6a21\u578b\u4e2d\u7684\u81ea\u7531\u80fd\u5305\u542b\u4e86\u6570\u636e\u7684\u751f\u6210\u6982\u7387\u548c\u5148\u9a8c\u77e5\u8bc6\u7684\u7ed3\u5408\uff0c\u4ece\u800c\u80fd\u591f\u751f\u6210\u65b0\u7684\u6570\u636e\u6837\u672c\u3002<\/span><\/section>\n

<\/section>\n
\u81ea\u56de\u5f52\u6a21\u578b\u662f\u4e00\u7c7b\u901a\u8fc7\u660e\u786e\u5b9a\u4e49\u6570\u636e\u70b9\u4e4b\u95f4\u7684\u4f9d\u8d56\u5173\u7cfb\u6765\u5efa\u6a21\u6570\u636e\u5206\u5e03\u7684\u795e\u7ecf\u7f51\u7edc\u3002\u8fd9\u4e9b\u6a21\u578b\u901a\u8fc7\u5e8f\u5217\u7684\u65b9\u5f0f\u9010\u6b65\u751f\u6210\u6570\u636e\uff0c\u6bcf\u4e00\u6b65\u7684\u751f\u6210\u90fd\u4f9d\u8d56\u4e8e\u524d\u4e00\u6b65\u6216\u591a\u6b65\u7684\u8f93\u51fa\uff0c\u4ece\u800c\u6355\u6349\u6570\u636e\u4e2d\u7684\u590d\u6742\u7ed3\u6784\u3002\u5728\u81ea\u56de\u5f52\u6a21\u578b\u4e2d\uff0c\u6bcf\u4e2a\u6570\u636e\u70b9\u7684\u6982\u7387\u5206\u5e03\u662f\u5176\u4e4b\u524d\u6570\u636e\u70b9\u7684\u51fd\u6570\uff0c\u8fd9\u79cd\u4f9d\u8d56\u5173\u7cfb\u53ef\u4ee5\u88ab\u770b\u4f5c\u662f\u4e00\u79cd\u201c\u80fd\u91cf\u201d\u5173\u7cfb\uff0c\u901a\u8fc7\u8bad\u7ec3\u81ea\u56de\u5f52\u6a21\u578b\u6765\u6700\u5927\u5316\u4f3c\u7136\u51fd\u6570\uff0c\u4ece\u800c\u751f\u6210\u4e0e\u771f\u5b9e\u6570\u636e\u5206\u5e03\u76f8\u5339\u914d\u7684\u65b0\u6570\u636e\u6837\u672c\u3002<\/span><\/section>\n

<\/section>\n
3. \u8017\u6563\u7ed3\u6784\u795e\u7ecf\u7f51\u7edc<\/span><\/strong><\/span><\/section>\n
\n
\n
\n
\u81ea\u7ec4\u7ec7\u7406\u8bba\u662f\u6307\u5f53\u5f00\u653e\u7cfb\u7edf\u8fbe\u5230\u8fdc\u79bb\u5e73\u8861\u6001\u7684\u975e\u7ebf\u6027\u533a\u57df\u65f6\uff0c\u4e00\u65e6\u7cfb\u7edf\u7684\u67d0\u4e00\u53c2\u6570\u8fbe\u5230\u67d0\u4e00\u9608\u503c\uff0c\u7cfb\u7edf\u5c31\u53ef\u4ee5\u901a\u8fc7\u6ce2\u52a8\u53d1\u751f\u7a81\u53d8\uff0c\u4ece\u65e0\u5e8f\u5230\u6709\u5e8f\uff0c\u4ea7\u751f\u5316\u5b66\u632f\u8361\u7b49\u81ea\u7ec4\u7ec7\u73b0\u8c61\u3002<\/span><\/section>\n

<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n
1989\u5e74\uff0cKohonen \u6559\u6388\u63d0\u51fa\u81ea\u7ec4\u7ec7\u7279\u5f81\u6620\u5c04<\/span> (Self-organizing feature map\uff0cSOM)<\/span>\u3002\u81ea\u7ec4\u7ec7\u6620\u5c04\u662f\u4e00\u79cd\u65e0\u76d1\u7763\u5b66\u4e60\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5b83\u80fd\u591f\u5c06\u9ad8\u7ef4\u6570\u636e\u6620\u5c04\u5230\u4f4e\u7ef4\u7a7a\u95f4\u4e2d\uff0c\u540c\u65f6\u4fdd\u6301\u6570\u636e\u7684\u62d3\u6251\u7ed3\u6784\u3002SOM\u7684\u7075\u611f\u6765\u81ea\u4e8e\u7edf\u8ba1\u7269\u7406\u5b66\u4e2d\u7684\u81ea\u7ec4\u7ec7\u73b0\u8c61\uff0c\u5176\u4e2d\u7cfb\u7edf\u901a\u8fc7\u5185\u90e8\u76f8\u4e92\u4f5c\u7528\u81ea\u53d1\u5f62\u6210\u6709\u5e8f\u7ed3\u6784\u3002<\/span><\/section>\n

<\/section>\n
\u8017\u6563\u7ed3\u6784\u795e\u7ecf\u7f51\u7edc\u6a21\u4eff\u4e86\u975e\u5e73\u8861\u6001\u7edf\u8ba1\u7269\u7406\u5b66\u4e2d\u7684\u8017\u6563\u7ed3\u6784\uff0c\u8fd9\u4e9b\u7f51\u7edc\u80fd\u591f\u5728\u8fdc\u79bb\u5e73\u8861\u6001\u7684\u6761\u4ef6\u4e0b\uff0c\u901a\u8fc7\u5916\u90e8\u80fd\u91cf\u8f93\u5165\u548c\u5185\u90e8\u8017\u6563\u8fc7\u7a0b\uff0c\u81ea\u53d1\u5730\u5f62\u6210\u6709\u5e8f\u7ed3\u6784\u3002\u8fd9\u79cd\u7f51\u7edc\u5728\u5904\u7406\u975e\u7ebf\u6027\u52a8\u6001\u7cfb\u7edf\u65f6\u8868\u73b0\u51fa\u8272\uff0c\u4f8b\u5982\u5728\u6a21\u5f0f\u8bc6\u522b\u548c\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u4e2d\u7684\u5e94\u7528\u3002<\/span><\/section>\n

<\/section>\n
4. \u968f\u673a\u8868\u9762\u795e\u7ecf\u7f51\u7edc<\/span><\/strong><\/span><\/section>\n

<\/section>\n
\u673a\u5668\u5b66\u4e60\u65e9\u671f\u7684\u7814\u7a76\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53d7\u9650\u4e8e\u51f8\u4f18\u5316\u7406\u8bba\u7684\u6761\u4ef6\u2014\u2014\u5c40\u90e8\u6700\u4f18\u5373\u662f\u5168\u5c40\u6700\u4f18\u3002\u5728\u5904\u7406\u975e\u51f8\u66f2\u9762\u65f6\uff0c\u9ad8\u8bef\u5dee\u5c40\u90e8\u6781\u5c0f\u503c\u7684\u5b58\u5728\u4f1a\u5f71\u54cd\u68af\u5ea6\u4e0b\u964d\u7684\u52a8\u6001\u6027\uff0c\u4ece\u800c\u5f71\u54cd\u4f18\u5316\u7b97\u6cd5\u7684\u6574\u4f53\u6027\u80fd\u3002<\/span><\/section>\n

<\/section>\n
\u968f\u673a\u8868\u9762\u795e\u7ecf\u7f51\u7edc<\/span>\uff08Random Surface Neural Networks\uff09<\/span>\u662f\u4e00\u7c7b\u6a21\u4eff\u7269\u7406\u4e2d\u968f\u673a\u8868\u9762\u6982\u5ff5\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u5b83\u4eec\u5728\u8bbe\u8ba1\u4e0a\u53d7\u5230\u7edf\u8ba1\u7269\u7406\u5b66\u4e2d\u968f\u673a\u8868\u9762\u6a21\u578b\u7684\u542f\u53d1\u3002\u5728\u7269\u7406\u5b66\u4e2d\uff0c\u968f\u673a\u8868\u9762<\/strong>\u901a\u5e38\u6307\u7684\u662f\u5177\u6709\u968f\u673a\u7c97\u7cd9\u5ea6\u7684\u8868\u9762\uff0c\u8fd9\u79cd\u8868\u9762\u53ef\u4ee5\u7528\u4e00\u7cfb\u5217\u968f\u673a\u7684\u9ad8\u4f4e\u8d77\u4f0f\u6765\u63cf\u8ff0\u3002\u7c7b\u4f3c\u5730\uff0c\u5728\u673a\u5668\u5b66\u4e60\u4e2d\uff0c\u968f\u673a\u8868\u9762\u6a21\u578b\u88ab\u7528\u6765\u63cf\u8ff0\u548c\u5904\u7406\u6570\u636e\u7684\u590d\u6742\u6027\u548c\u591a\u6837\u6027\u3002\u8fd9\u4e9b\u6a21\u578b\u53ef\u4ee5\u6355\u6349\u6570\u636e\u4e2d\u7684\u968f\u673a\u6ce2\u52a8\u548c\u4e0d\u786e\u5b9a\u6027\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u5bf9\u6570\u636e\u7684\u9002\u5e94\u80fd\u529b\u3002<\/span><\/section>\n

<\/section>\n
\u968f\u673a\u8868\u9762\u795e\u7ecf\u7f51\u7edc\u901a\u8fc7\u5728\u7f51\u7edc\u7684\u6743\u91cd\u548c\u6fc0\u6d3b\u51fd\u6570\u4e2d\u5f15\u5165\u968f\u673a\u6027\uff0c\u6765\u6a21\u62df\u7269\u7406\u968f\u673a\u8868\u9762\u7684\u7edf\u8ba1\u7279\u6027<\/span><\/strong>\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u7f51\u7edc\u66f4\u597d\u5730\u5904\u7406\u8f93\u5165\u6570\u636e\u7684\u4e0d\u786e\u5b9a\u6027\uff0c\u63d0\u9ad8\u7f51\u7edc\u5bf9\u65b0\u6570\u636e\u7684\u6cdb\u5316\u80fd\u529b\u3002\u7edf\u8ba1\u7269\u7406\u5b66\u4e2d\u7684\u968f\u673a\u77e9\u9635\u7406\u8bba\u88ab\u7528\u6765\u5206\u6790\u795e\u7ecf\u7f51\u7edc\u7684\u635f\u5931\u51fd\u6570\u66f2\u9762\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u7814\u7a76\u8005\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u795e\u7ecf\u7f51\u7edc\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u7684\u52a8\u6001\u884c\u4e3a\uff0c\u4ee5\u53ca\u5982\u4f55\u4f18\u5316\u7f51\u7edc\u7684\u6743\u91cd\u4ee5\u907f\u514d\u9677\u5165\u5c40\u90e8\u6700\u5c0f\u503c\u3002\u968f\u673a\u8868\u9762\u795e\u7ecf\u7f51\u7edc\u80fd\u591f\u5904\u7406\u548c\u6a21\u62df\u590d\u6742\u6570\u636e\u7684\u4e0d\u786e\u5b9a\u6027\u548c\u968f\u673a\u6027\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u9ad8\u7ef4\u6570\u636e\u65f6\u8868\u73b0\u51fa\u8272\u3002<\/span><\/section>\n

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5. \u77e5\u8bc6\u84b8\u998f\u4f18\u5316\u795e\u7ecf\u7f51\u7edc<\/span><\/strong><\/span><\/section>\n

<\/section>\n
\u5bf9\u4e8e\u795e\u7ecf\u7f51\u7edc\u6765\u8bf4\uff0c\u6a21\u578b\u8d8a\u5927\uff0c\u5c42\u6570\u8d8a\u6df1\uff0c\u5b66\u4e60\u80fd\u529b\u5c31\u8d8a\u5f3a\u3002\u4e3a\u4e86\u4ece\u5927\u91cf\u5197\u4f59\u6570\u636e\u4e2d\u63d0\u53d6\u7279\u5f81\uff0c\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u5f80\u5f80\u9700\u8981\u8fc7\u591a\u7684\u53c2\u6570\u548c\u8f83\u5927\u7684\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3\u3002<\/span><\/section>\n

<\/section>\n
\u77e5\u8bc6\u84b8\u998f\u662f\u4e00\u79cd\u6a21\u578b\u538b\u7f29\u548c\u52a0\u901f\u6280\u672f\uff0c\u5b83\u901a\u8fc7\u4ece\u5927\u578b\u7684\u3001\u9884\u8bad\u7ec3\u7684\u6a21\u578b<\/span>\uff08\u6559\u5e08\u6a21\u578b\uff09<\/span>\u4e2d\u63d0\u53d6\u77e5\u8bc6\uff0c\u5e76\u5c06\u5176\u8f6c\u79fb\u5230\u4e00\u4e2a\u66f4\u5c0f\u3001\u66f4\u7b80\u5355\u7684\u6a21\u578b<\/span>\uff08\u5b66\u751f\u6a21\u578b\uff09<\/span>\u4e2d\uff0c\u4ece\u800c\u4f7f\u5b66\u751f\u6a21\u578b\u80fd\u591f\u5728\u4fdd\u6301\u76f8\u4f3c\u6027\u80fd\u7684\u540c\u65f6\uff0c\u51cf\u5c11\u8ba1\u7b97\u8d44\u6e90\u548c\u5b58\u50a8\u7a7a\u95f4\u7684\u9700\u6c42\u3002<\/span><\/section>\n

<\/section>\n
\u77e5\u8bc6\u84b8\u998f\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u8bed\u97f3\u8bc6\u522b\u7b49\u9886\u57df\u3002\u4f8b\u5982\uff0c\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e2d\uff0c\u77e5\u8bc6\u84b8\u998f\u53ef\u4ee5\u7528\u6765\u521b\u5efa\u8f7b\u91cf\u7ea7\u7684BERT\u6a21\u578b\uff0c\u5982DistilBERT\uff0c\u5b83\u5728\u4fdd\u6301\u4e0e\u539f\u59cbBERT\u6a21\u578b\u76f8\u4f3c\u7684\u6027\u80fd\u7684\u540c\u65f6\uff0c\u663e\u8457\u51cf\u5c11\u4e86\u6a21\u578b\u7684\u5927\u5c0f\u548c\u8ba1\u7b97\u9700\u6c42\u3002<\/span><\/section>\n

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\u4e94\u3001\u53d7\u91cf\u5b50\u529b\u5b66\u542f\u53d1\u7684AI\u6a21\u578b<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


<\/p>\n

\u91cf\u5b50\u7b97\u6cd5\u662f\u4e00\u7c7b\u5728\u91cf\u5b50\u8ba1\u7b97\u6a21\u578b\u4e0a\u8fd0\u884c\u7684\u7b97\u6cd5\u3002\u901a\u8fc7\u501f\u9274\u91cf\u5b50\u529b\u5b66\u7684\u57fa\u672c\u7279\u6027\uff0c\u5982\u91cf\u5b50\u53e0\u52a0\u6216\u91cf\u5b50\u7ea0\u7f20\uff0c\u63d0\u51fa\u4e86\u91cf\u5b50\u7b97\u6cd5\u3002\u76f8\u6bd4\u4e8e\u4f20\u7edf\u7b97\u6cd5\uff0c\u91cf\u5b50\u529b\u5b66\u5728\u8ba1\u7b97\u590d\u6742\u5ea6\u4e0a\u6709\u4e86\u5927\u5e45\u5ea6\u7684\u964d\u4f4e\uff0c\u751a\u81f3\u53ef\u4ee5\u8fbe\u5230\u6307\u6570\u7ea7\u7684\u964d\u4f4e\u3002<\/span><\/section>\n

<\/section>\n
1. \u91cf\u5b50\u673a\u5668\u5b66\u4e60<\/span><\/strong><\/span><\/section>\n

<\/section>\n
\u91cf\u5b50\u673a\u5668\u5b66\u4e60<\/span>\uff08Quantum Machine Learning, QML\uff09<\/span>\u7ed3\u5408\u4e86\u91cf\u5b50\u8ba1\u7b97\u7684\u901f\u5ea6\u548c\u673a\u5668\u5b66\u4e60\u7684\u5b66\u4e60\u80fd\u529b\u3002\u901a\u8fc7\u6a21\u62df\u91cf\u5b50\u529b\u5b66\u7684\u57fa\u672c\u539f\u7406\uff0c\u5982\u53e0\u52a0\u6001\u548c\u7ea0\u7f20\u6001\uff0cQML\u5728\u5904\u7406\u6570\u636e\u65f6\u5c55\u73b0\u51fa\u4e86\u4f20\u7edf\u7b97\u6cd5\u65e0\u6cd5\u6bd4\u62df\u7684\u6f5c\u529b\u3002\u4f8b\u5982\uff0c\u91cf\u5b50k-means\u7b97\u6cd5\u3001\u91cf\u5b50\u4e3b\u6210\u5206\u5206\u6790\u3001\u91cf\u5b50\u7ebf\u6027\u5224\u522b\u5206\u6790\u3001\u91cf\u5b50k -\u8fd1\u90bb\u3001\u91cf\u5b50\u652f\u6301\u5411\u91cf\u673a\u548c\u91cf\u5b50\u51b3\u7b56\u6811\u5206\u7c7b\u5668\u7b49\u7b97\u6cd5\uff0c\u5229\u7528\u91cf\u5b50\u6001\u7684\u7279\u6027\u6765\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u3002<\/span><\/section>\n

<\/section>\n

\u4e00\u822c\u800c\u8a00\uff0c\u91cf\u5b50\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u6709\u4ee5\u4e0b3\u4e2a\u6b65\u9aa4\uff1a<\/span><\/p>\n

( 1 )\u91cf\u5b50\u6001\u5236\u5907\u3002\u5229\u7528\u91cf\u5b50\u8ba1\u7b97\u7684\u9ad8\u5ea6\u5e76\u884c\u6027\uff0c\u5fc5\u987b\u5c06\u539f\u59cb\u6570\u636e\u8f6c\u6362\u4e3a\u91cf\u5b50\u6bd4\u7279\u7684\u5f62\u5f0f\uff0c\u4f7f\u6570\u636e\u5177\u6709\u91cf\u5b50\u7279\u6027\uff1b<\/span><\/p>\n

( 2 )\u91cf\u5b50\u7b97\u6cd5\u5904\u7406\u3002\u91cf\u5b50\u8ba1\u7b97\u673a\u4e0d\u518d\u662f\u51af\u00b7\u8bfa\u4f9d\u66fc\u673a\u7684\u4e00\u90e8\u5206\uff0c\u5176\u64cd\u4f5c\u5355\u5143\u4e0e\u4f20\u7edf\u8ba1\u7b97\u673a\u5b8c\u5168\u4e0d\u540c\uff0c\u56e0\u6b64\u9700\u8981\u5c06\u4f20\u7edf\u7b97\u6cd5\u8fdb\u884c\u91cf\u5b50\u5316\uff0c\u79fb\u690d\u5230\u91cf\u5b50\u8ba1\u7b97\u673a\u4e2d\u3002<\/span><\/p>\n

( 3 )\u91cf\u5b50\u6d4b\u91cf\u64cd\u4f5c\u3002\u7ed3\u679c\u4ee5\u91cf\u5b50\u6001\u7684\u5f62\u5f0f\u8f93\u51fa\uff0c\u5176\u672c\u8eab\u4ee5\u6982\u7387\u7684\u5f62\u5f0f\u5b58\u5728\u3002\u901a\u8fc7\u91cf\u5b50\u6d4b\u91cf\uff0c\u91cf\u5b50\u53e0\u52a0\u6ce2\u5305\u574d\u7f29\u5230\u7ecf\u5178\u6001\uff0c\u4ee5\u63d0\u53d6\u91cf\u5b50\u6001\u4e2d\u5305\u542b\u7684\u4fe1\u606f\uff0c\u7528\u4e8e\u540e\u7eed\u7684\u4fe1\u606f\u5904\u7406\u3002<\/span><\/section>\n

<\/section>\n
2. \u91cf\u5b50\u6df1\u5ea6\u5b66\u4e60<\/span><\/strong><\/span><\/section>\n

<\/section>\n
\u4e0e\u91cf\u5b50\u673a\u5668\u5b66\u4e60\u7c7b\u4f3c\uff0c\u91cf\u5b50\u6df1\u5ea6\u5b66\u4e60<\/span>\uff08Quantum Deep Learning, QDL\uff09<\/span>\u5141\u8bb8\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u5229\u7528\u91cf\u5b50\u529b\u5b66\u7684\u57fa\u672c\u6027\u8d28\u3002\u91cf\u5b50\u6df1\u5ea6\u5b66\u4e60\u4f7f\u7528\u91cf\u5b50\u8ba1\u7b97\u4ee3\u66ff\u4f20\u7edf\u7684\u51af\u00b7\u8bfa\u4f9d\u66fc\u673a\u8ba1\u7b97\uff0c\u4f7f\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u5b9e\u73b0\u4e86\u91cf\u5b50\u5316\uff0c\u8fbe\u5230\u4e86\u663e\u8457\u63d0\u9ad8\u7b97\u6cd5\u5e76\u884c\u6027\u548c\u964d\u4f4e\u8ba1\u7b97\u590d\u6742\u5ea6\u7684\u76ee\u7684\u3002<\/span><\/section>\n

<\/section>\n
\u91cf\u5b50\u795e\u7ecf\u7f51\u7edc\u4f7f\u7528\u6bd4\u7279\u548c\u91cf\u5b50\u95e8\u6765\u6784\u5efa\u548c\u8bad\u7ec3\u6a21\u578b\uff0c\u4ece\u800c\u5b9e\u73b0\u5bf9\u6570\u636e\u7684\u9ad8\u6548\u5904\u7406\u3002\u4f8b\u5982\uff0c\u91cf\u5b50\u591a\u5c42\u611f\u77e5\u5668\u3001\u91cf\u5b50\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u3001\u91cf\u5b50\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\u3002<\/span><\/section>\n

<\/section>\n
3. \u91cf\u5b50\u6f14\u5316\u7b97\u6cd5<\/span><\/strong><\/span><\/section>\n

<\/section>\n
\u6f14\u5316\u7b97\u6cd5\u662f\u57fa\u4e8e\u8fbe\u5c14\u6587\u7684\u81ea\u7136\u9009\u62e9\u7406\u8bba\u548c\u5b5f\u5fb7\u5c14\u7684\u9057\u4f20\u53d8\u5f02\u7406\u8bba\u6784\u5efa\u7684\u4e00\u79cd\u968f\u673a\u641c\u7d22\u7b97\u6cd5\uff0c\u5b83\u6a21\u62df\u4e86\u751f\u7269\u8fdb\u5316\u4e2d\u7684\u7e41\u6b96\u3001\u53d8\u5f02\u3001\u7ade\u4e89\u548c\u9009\u62e9\u3002<\/span><\/section>\n

<\/section>\n
\u91cf\u5b50\u6f14\u5316\u7b97\u6cd5<\/span>\uff08Quantum Evolutionary Algorithms\uff09<\/span>\u662f\u4e00\u7c7b\u6a21\u4eff\u751f\u7269\u8fdb\u5316\u8fc7\u7a0b\u7684\u4f18\u5316\u7b97\u6cd5\uff0c\u5b83\u4eec\u5728\u91cf\u5b50\u5c42\u9762\u4e0a\u8fdb\u884c\u64cd\u4f5c\uff0c\u4f7f\u5f97\u4e2a\u4f53\u53ef\u4ee5\u540c\u65f6\u5305\u542b\u591a\u4e2a\u72b6\u6001\u7684\u4fe1\u606f\uff0c\u5f97\u5230\u66f4\u52a0\u4e30\u5bcc\u7684\u79cd\u7fa4\uff0c\u5927\u5927\u63d0\u9ad8\u4e86\u7b97\u6cd5\u7684\u5e76\u884c\u6027\u548c\u6536\u655b\u901f\u5ea6\u3002\u8fd9\u4e9b\u7b97\u6cd5\u5728\u641c\u7d22\u548c\u4f18\u5316\u95ee\u9898\u4e0a\u5c55\u73b0\u51fa\u4e86\u5de8\u5927\u7684\u6f5c\u529b\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u9ad8\u7ef4\u7a7a\u95f4\u4e2d\u7684\u5168\u5c40\u4f18\u5316\u95ee\u9898\u65f6\u3002<\/span><\/section>\n

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\u516d\u3001\u603b\u7ed3<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u7269\u7406\u5b66\u4e0eAI\u7684\u7ed3\u5408\uff0c\u4e0d\u4ec5\u4ec5\u662f\u79d1\u5b66\u4e0e\u6280\u672f\u7684\u7b80\u5355\u53e0\u52a0\uff0c\u800c\u662f\u4e00\u573a\u6df1\u523b\u7684\u8303\u5f0f\u8f6c\u53d8\u3002\u901a\u8fc7\u5c06\u7269\u7406\u5b66\u7684\u6df1\u523b\u89c1\u89e3\u878d\u5165\u5230AI\u6a21\u578b\u4e2d\uff0c\u6211\u4eec\u4e0d\u4ec5\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u548c\u9884\u6d4b\u81ea\u7136\u754c\u7684\u73b0\u8c61\uff0c\u8fd8\u80fd\u591f\u8bbe\u8ba1\u51fa\u66f4\u52a0\u667a\u80fd\u3001\u9ad8\u6548\u7684AI\u7cfb\u7edf\u3002\u968f\u7740\u7814\u7a76\u7684\u6df1\u5165\uff0c\u6211\u4eec\u6709\u7406\u7531\u76f8\u4fe1\uff0c\u7269\u7406\u5b66\u4e0eAI\u7684\u7ed3\u5408\u5c06\u4e3a\u6211\u4eec\u6253\u5f00\u4e00\u6247\u901a\u5f80\u672a\u77e5\u4e16\u754c\u7684\u5927\u95e8\u3002<\/span><\/section>\n<\/section>\n

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\u975e\u5e73\u8861\u7edf\u8ba1\u7269\u7406\u8bfb\u4e66\u4f1a\u542f\u52a8\uff01<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u7edf\u8ba1\u7269\u7406\u5b66\u4e0d\u4ec5\u80fd\u89e3\u91ca\u70ed\u5b66\u73b0\u8c61\uff0c\u8fd8\u80fd\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u4ece\u5fae\u89c2\u7c92\u5b50\u5230\u5b8f\u89c2\u5b87\u5b99\u7684\u5404\u4e2a\u5c42\u7ea7\u5982\u4f55\u8054\u7cfb\u8d77\u6765\uff0c\u590d\u6742\u73b0\u8c61\u5982\u4f55\u6d8c\u73b0\u3002\u5b83\u901a\u8fc7\u7814\u7a76\u5927\u91cf\u7c92\u5b50\u7684\u96c6\u4f53\u884c\u4e3a\uff0c\u6210\u529f\u5730\u5c06\u5fae\u89c2\u4e16\u754c\u7684\u968f\u673a\u6027\u4e0e\u5b8f\u89c2\u4e16\u754c\u7684\u786e\u5b9a\u6027\u8054\u7cfb\u8d77\u6765\uff0c\u4e3a\u6211\u4eec\u7406\u89e3\u81ea\u7136\u754c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u4e5f\u4e3a\u673a\u5668\u5b66\u4e60\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u53d1\u5c55\u63d0\u4f9b\u4e86\u91cd\u8981\u63a8\u52a8\u529b\u3002<\/span><\/p>\n


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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u7ebd\u7ea6\u5dde\u7acb\u5927\u5b66\u77f3\u6eaa\u5206\u6821\u6559\u6388\u6c6a\u52b2\u3001\u5fb7\u7d2f\u65af\u987f\u7cfb\u7edf\u751f\u7269\u5b66\u4e2d\u5fc3\u535a\u58eb\u540e\u7814\u7a76\u5458\u6881\u5e08\u7fce\u3001\u9999\u6e2f\u6d78\u4f1a\u5927\u5b66\u52a9\u7406\u6559\u6388\u5510\u4e7e\u5143\uff0c\u5171\u540c\u53d1\u8d77\u300c\u975e\u5e73\u8861\u7edf\u8ba1\u7269\u7406\u300d\u8bfb\u4e66\u4f1a\uff0c\u5173\u6ce8\u975e\u5e73\u8861\u7edf\u8ba1\u7269\u7406\u7684\u524d\u6cbf\u7406\u8bba\u8fdb\u5c55\u3001\u751f\u547d\u548c\u70ed\u529b\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u4e0e\u673a\u5668\u5b66\u4e60\u4ea4\u53c9\u4e09\u4e2a\u5927\u7684\u4e3b\u9898\u65b9\u5411\uff0c\u6db5\u76d6\u70ed\u673a\u4f18\u5316\u95ee\u9898\u3001\u6da8\u843d\u76f8\u5173\u7684\u70ed\u529b\u5b66\u3001\u53cd\u5e38\u70ed\u529b\u5b66\u73b0\u8c61\u3001\u4fe1\u606f\u89c6\u89d2\u4e0b\u7684\u70ed\u529b\u5b66\u3001\u751f\u547d\u7cfb<\/span>\u7edf\u7684\u666f\u89c2\u548c\u6d41\u7406\u8bba\u3001\u6d3b\u6027\u7269\u8d28\u3001\u751f\u547d\u7cfb\u7edf\u3001\u79cd\u7fa4\u52a8\u529b\u5b66\u3001\u673a\u5668\u5b66\u4e60\u548c\u4eba\u5de5\u667a\u80fd\u7b49\u524d\u6cbf\u8bdd\u9898\u3002\u8bfb\u4e66\u4f1a\u8ba1\u5212\u4ece11\u670819\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u4e8c\u665a19:00-21:00\u8fdb\u884c\u3002\u6211\u4eec\u8bda\u631a\u9080\u8bf7\u76f8\u5173\u9886\u57df\u7684\u7814\u7a76\u8005\u5206\u4eab\u7684\u5de5\u4f5c\uff0c\u4e5f\u6b22\u8fce\u5927\u5bb6\u4e00\u8d77\u53c2\u4e0e\u8ba8\u8bba\u4ea4\u6d41\uff01<\/span><\/p>\n


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AI+Science \u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/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\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\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\u8bfb\u4e66\u4f1a\u4ece2023\u5e743\u670826\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 10:00-12:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba110\u5468\u3002\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><\/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><\/section>\n

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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/strong>
<\/section>\n
1. <\/strong>2024\u5e74\u7269\u7406\u8bfa\u5956\u6388\u4e88\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff1a\u7edf\u8ba1\u7269\u7406\u5f15\u53d1\u7684\u673a\u5668\u5b66\u4e60\u9769\u547d<\/a><\/strong><\/span><\/strong><\/section>\n
2. <\/strong>2024\u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u4e3a\u4f55\u6388\u4e88\u673a\u5668\u5b66\u4e60\u9886\u57df\uff1f<\/a><\/strong><\/span><\/strong><\/section>\n
3. <\/strong>\u795e\u7ecf\u7f51\u7edc\u7406\u8bba\u7814\u7a76\u7684\u6311\u6218\u6027\u8bfe\u9898\uff1a\u7edf\u8ba1\u7269\u7406\u80fd\u5426\u7ed9\u667a\u80fd\u79d1\u5b66\u5e26\u6765\u7b2c\u4e00\u6027\u539f\u7406\uff1f<\/a><\/strong><\/span><\/strong><\/section>\n
4. <\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
<\/strong>5.<\/strong> \u9f99\u5e74\u5927\u8fd0\u8d77\uff0c\u5b66\u4e60\u6b63\u5f53\u65f6\uff01\u89e3\u9501\u96c6\u667a\u5168\u7ad9\u5185\u5bb9\uff0c\u5f00\u542f\u65b0\u5e74\u5b66\u4e60\u8ba1\u5212<\/a><\/strong><\/strong><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n

6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/p>\n


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<\/span><\/strong><\/p>\n

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

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

\u5bfc\u8bed 2024\u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u4e00\u7ecf\u516c\u5e03\u5373\u5f15\u53d1\u4e86\u5e7f\u6cdb\u8ba8\u8bba\u2014\u2014\u7269\u7406\u5b66\u5956\u7adf\u88ab\u6388\u4e88\u673a\u5668\u5b66\u4e60\u9886\u57df\u3002\u673a\u5668\u5b66\u4e60\u7684\u53d1\u5c55\u4e0e\u7269\u7406\u6709\u4f55\u79cd\u5173\u7cfb\uff0c\u53c8\u4f1a\u5bf9\u7269\u7406\u5b66\u4ea7\u751f\u600e\u6837\u7684\u5f71\u54cd\uff1f\u8fd1\u671f\u53d1\u8868\u4e8eArtificial Intelligence Review \u7684\u7efc\u8ff0\u8bba\u6587 AI meets physics: a comp…<\/p>\n","protected":false},"author":0,"featured_media":53217,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/53226"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=53226"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/53226\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/53217"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=53226"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=53226"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=53226"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=53226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}