{"id":4240,"date":"2017-09-09T01:00:00","date_gmt":"2017-09-08T17:00:00","guid":{"rendered":"http:\/\/swarma.org\/%swarma-paper%\/"},"modified":"2018-12-11T14:43:17","modified_gmt":"2018-12-11T06:43:17","slug":"%e9%87%8f%e5%ad%90%e8%ae%a1%e7%ae%97%e6%97%b6%e4%bb%a3%e7%9a%84%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=4240","title":{"rendered":"\u91cf\u5b50\u8ba1\u7b97\u65f6\u4ee3\u7684\u673a\u5668\u5b66\u4e60"},"content":{"rendered":"
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\u73b0\u5728\u673a\u5668\u5b66\u4e60\u8fd9\u4e48\u706b\uff0c\u5927\u5bb6\u81ea\u7136\u60f3\u77e5\u9053\u4ee5\u540e20\u300130\u5e74\u4eba\u5de5\u667a\u80fd\u4f1a\u5f80\u54ea\u4e2a\u65b9\u5411\u53d1\u5c55\u3002\u800c\u6b63\u5982\u6211\u4eec\u4e4b\u524d\u8bf4\u5230\u7684\uff0c\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u79bb\u4e0d\u5f00\u8ba1\u7b97\u529b\u6309\u6469\u5c14\u5b9a\u5f8b\u5730\u63d0\u5347\uff0c\u5f53\u6211\u4eec\u628a\u82af\u7247\u505a\u5f97\u8d8a\u6765\u8d8a\u5c0f\uff0c\u6676\u4f53\u7ba1\u7684\u5c3a\u5bf8\u8d8a\u6765\u8d8a\u63a5\u8fd1\u5355\u4e2a\u539f\u5b50\u7684\u5927\u5c0f\uff0c\u8fd9\u4e2a\u65f6\u5019\u91cf\u5b50\u6548\u5e94\u5c31\u4f1a\u51fa\u73b0\uff0c\u5e72\u6270\u5668\u4ef6\u7684\u6b63\u5e38\u5de5\u4f5c\uff0c\u6bd4\u5982\u4ee5\u524d\u6676\u4f53\u7ba1\u53ef\u4ee5\u901a\u8fc7\u7535\u6d41\u662f\u5426\u901a\u8fc7\u6765\u8868\u793a\u5f00\u548c\u5173\uff0c\u5f53\u6709\u91cf\u5b50\u6548\u5e94\u540e\uff0c\u539f\u672c\u4e0d\u80fd\u6d41\u8fc7\u7684\u7535\u5b50\u73b0\u5728\u6709\u4e00\u5b9a\u7684\u6982\u7387\u201d\u96a7\u7a7f\u201c\uff08tunnel\uff09\u8fc7\u53bb\uff0c\u5bfc\u81f4\u6676\u4f53\u7ba1\u6ca1\u6cd5\u7ee7\u7eed\u5de5\u4f5c\u4e86\u3002\u6240\u4ee5\u6469\u5c14\u5b9a\u5f8b\u4f1a\u4e0d\u518d\u6210\u7acb\u4e86\uff0c\u90a3\u6211\u4eec\u600e\u4e48\u529e\uff1f\u4e00\u4e2a\u65b9\u6848\u5c31\u662f\u91cf\u5b50\u8ba1\u7b97\u82af\u7247\uff0c\u50a8\u5b58\u7684\u5bf9\u8c61\u4e0d\u518d\u662fbit\uff0c\u800c\u662fqubit\uff0c\u5916\u90e8\u8bbe\u5907\u628a\u547d\u4ee4\u53d1\u9001\u7ed9\u82af\u7247\uff0c\u82af\u7247\u4ee5\u91cf\u5b50\u7684\u65b9\u5f0f\u5904\u7406\u5b8c\u4fe1\u606f\u540e\u518d\u628a\u7ed3\u679c\u4f20\u51fa\u53bb\u3002\u7531\u4e8e\u91cf\u5b50\u6548\u5e94\u9700\u8981\u6781\u4f4e\u7684\u6e29\u5ea6\uff08\u6bebK\u91cf\u7ea7\uff09\uff0c\u6211\u4eec\u73b0\u5728\u770b\u5230\u7684\u623f\u95f4\u90a3\u4e48\u5927\u7684\u91cf\u5b50\u8ba1\u7b97\u673a\u5176\u5b9e\u7edd\u5927\u90e8\u5206\u662f\u51b7\u5374\u88c5\u7f6e\uff0c\u771f\u6b63\u7684\u91cf\u5b50\u7684\u90e8\u5206\u53ea\u6709\u6700\u4e2d\u5fc3\u7684\u90a3\u5757\u82af\u7247\u3002<\/p>\n


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\u8bf4\u8d77\u673a\u5668\u5b66\u4e60\u80af\u5b9a\u8981\u63d0\u8d77\u795e\u7ecf\u7f51\u7edc\uff0c\u800c\u65e9\u57281997\u5e74\u5927\u5bb6\u5c31\u5f00\u59cb\u9646\u9646\u7eed\u7eed\u8ba8\u8bbaquantum neural network\uff08QNN\uff09\u7684\u6a21\u578b\u4e86\uff0c\u6bd4\u5982Gupta\uff0cBonnell \u548c Papini\u7684\u6587\u7ae0\uff0c\u4e0d\u8fc7\u5e76\u6ca1\u6709\u53d6\u5f97\u5f88\u5927\u7684\u8fdb\u5c55\u30022001\u5e74\u540e\u5927\u5bb6\u597d\u50cf\u5c31\u6bd4\u8f83\u6c89\u5bc2\u4e86\uff0c\u6ca1\u6709\u4ec0\u4e48\u65b0\u7684\u5de5\u4f5c\u3002\u7ed3\u679c\u8fd9\u4e00\u6c89\u5bc2\u5c31\u5230\u4e862014\u5e74\uff0c\u5357\u975e\u7684\u4e00\u4e2a\u7406\u8bba\u7269\u7406\u7684\u7ec4\u5f00\u59cb\u8ba4\u771f\u5730\u8003\u8651\u8fd9\u4e2a\u6a21\u578b\uff0c\u4e24\u4e2a\u535a\u58eb\u751fSinayskiy\u548cSchuld\u5728\u7814\u7a76\u6240\u4e3b\u4efbPetruccione\u7684\u5e26\u9886\u4e0b\u5f00\u59cb\u8003\u8651Hopfield-type networks\u7684quantum evolution\u3002\u4f46\u662f\u7531\u4e8e\u975e\u7ebf\u6027\u662fneural\u6838\u5fc3\u7684\u4e00\u90e8\u5206\uff0c\u800cquantum evolution\u662funitary\u7684\uff08\u7ebf\u6027\u7684\uff09\uff0c\u8fd9\u6837\u5c31\u6709\u4e00\u4e2a\u672c\u8d28\u4e0a\u7684\u77db\u76fe\uff0c\u6240\u4ee5\u4ed6\u4eec\u63d0\u51fa\u5e94\u8be5\u8003\u8651\u795e\u7ecf\u7f51\u7edc\u7684\u5f00\u653e\u91cf\u5b50\u6f14\u5316\uff08open quantum evolution\/dissipative quantum computing\uff09\uff0c\u4e5f\u5c31\u662f\u8003\u8651\u8fdb\u73af\u5883\u7684\u975e\u7ebf\u6027\u7684\u8017\u6563\u4f5c\u7528[1]\u3002\u4ed6\u4eec\u7684\u5de5\u4f5c\u5f15\u8d77\u4e86\u6bd4\u8f83\u5927\u7684\u5173\u6ce8\uff0c\u6240\u4ee5\u4eca\u5e742017\u5e741\u6708\uff0c\u7b2c\u4e00\u4e2a\u91cf\u5b50\u673a\u5668\u5b66\u4e60\u7684summer school\u5c31\u5728\u5357\u975e\u53ec\u5f00\uff08\u7b14\u8005\u672c\u6765\u4e5f\u60f3\u53bb\u6253\u4e2a\u9171\u6cb9\uff0c\u7ed3\u679c\u7b7e\u8bc1\u6ca1\u529e\u4e0b\u6765\uff0c\u54ed\uff09\u3002<\/p>\n<\/section>\n<\/section>\n

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\u9664\u4e86\u795e\u7ecf\u7f51\u7edc\u7684\u91cf\u5b50\u63a8\u5e7f\uff0c\u7ec6\u80de\u81ea\u52a8\u673a\uff08automata\uff09\u548c\u5eb7\u5a01\uff08conway\uff09\u7684\u751f\u547d\u6e38\u620f\uff08game of life\uff09\u4e5f\u6709\u91cf\u5b50\u7684\u63a8\u5e7f\u3002\u6bd4\u5982\u201dquantum aspect of life\u201c \u8fd9\u672c\u4e66\uff0c\u7531\u5927\u540d\u9f0e\u9f0e\u7684\u6570\u5b66\u7269\u7406\u5b66\u5bb6\u5f6d\u7f57\u65af\uff08Roger Penrose\uff09\u4f5c\u5e8f\u3002\u800c\u6700\u65e9\u7684\u7ec6\u80de\u81ea\u52a8\u673a\u7684\u91cf\u5b50\u63a8\u5e7f\u65e9\u57281988\u5e74\u5c31\u88ab\u91cf\u5b50\u4fe1\u606f\u7684\u5960\u57fa\u4eba\u4e4b\u4e00\u585e\u6797\u683c\uff08Zeilinger\uff09\u63d0\u4e86\u51fa\u6765[2]\u3002<\/p>\n


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\"\u96c6\u667a\"<\/div>\n<\/section>\n<\/section>\n
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\u76f8\u6bd4\u91cf\u5b50\u7684\u7406\u8bba\u6a21\u578b\uff0c\u91cf\u5b50\u4eba\u5de5\u667a\u80fd\u7684\u7b97\u6cd5\u53d1\u5c55\u5219\u66f4\u4e3a\u5f15\u4eba\u6ce8\u76ee\u3002\u6700\u5148\u5e94\u8be5\u63d0\u7684\u662f2009\u5e74MIT\u7684Aram Harrow\u7b49\u4eba\u63d0\u51fa\u7684HHL\u91cf\u5b50\u7b97\u6cd5[3]\uff0c\u80fd\u591f\u4ee5\u6307\u6570\u5feb\u7684\u901f\u5ea6\u89e3\u4e00\u4e2a\u7ebf\u6027\u65b9\u7a0b\u7ec4\u3002\u8fd9\u4e2a\u7b97\u6cd5\u6784\u6210\u4e86\u540e\u67652014\u5e74Seth Lloyd\u4ed6\u4eec\u63d0\u51fa\u7684\u91cf\u5b50\u652f\u6301\u5411\u91cf\u673a\u7684\u57fa\u7840\uff08quantum support vector machine\uff0cQSVM\uff09[4]\u3002\u7d27\u968f\u5176\u540e\u53c8\u6709\u4f17\u591a\u7684\u7ecf\u5178\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u91cf\u5b50\u7248\u672c\u88ab\u63d0\u51fa\u6765\u4e86\uff0c\u6bd4\u5982\u91cf\u5b50\u4e3b\u6210\u5206\u5206\u6790\uff08Quantum principal component analysis\uff09[5]\uff0c\u91cf\u5b50\u63a8\u8350\u7cfb\u7edf\uff08Quantum Recommendation Systems\uff09[6]\uff0c\u8d1d\u53f6\u65af\u7f51\u7edc\u4e0a\u7684\u91cf\u5b50\u63a8\u65ad[7]\uff0c\u91cf\u5b50\u589e\u5f3a\u5b66\u4e60\uff08quantum reinforcement learning\uff09[8]\u7b49\u7b49\u3002<\/p>\n<\/section>\n<\/section>\n

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\u9664\u4e86\u505a\u673a\u5668\u5b66\u4e60\u76f4\u63a5\u7684\u91cf\u5b50\u63a8\u5e7f\u5916\uff0c\u8fd8\u6709\u4e00\u4e2a\u5f88\u91cd\u8981\u7684\u65b9\u5411\u662f\u7528\u91cf\u5b50\u7269\u7406\u6765\u89e3\u91ca\u4e3a\u4ec0\u4e48\u6df1\u5ea6\u5b66\u4e60\u8fd9\u4e48\u6709\u6548\u30022014\u5e74\u666e\u6797\u65af\u987f\u7684\u4e24\u4e2a\u535a\u58eb\u751f\u8bc1\u660e\u4e86\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u548c\u53d8\u5206\u91cd\u6574\u5316\u7fa4\u53ef\u4ee5\u4e00\u4e00\u6620\u5c04\u8d77\u6765[9]\u3002MIT\u5b87\u5b99\u5b66\u6559\u6388Max Tegmark\u4e5f\u4ece\u4fe1\u606f\u63d0\u53d6\u548c\u91cd\u6574\u5316\u7684\u89d2\u5ea6\u6765\u8bf4\u660e\u4e3a\u4ec0\u4e48\u6df1\u5ea6\u5b66\u4e60\u9700\u8981\u201d\u6df1\u201c[10]\u3002\u56db\u4f4d\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u4e5f\u4ece\u4ed6\u4eec\u9886\u57df\u7684\u89d2\u5ea6\u5206\u6790\u4e86\u91cf\u5b50\u591a\u4f53\u6ce2\u51fd\u6570\uff0c\u7ea0\u7f20\uff0c\u5f20\u91cf\u7f51\u7edc\u548c\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u5173\u7cfb[11]\u3002\u4ece\u673a\u5668\u5b66\u4e60\u7684\u7406\u8bba\u89d2\u5ea6\u4e0a\u6765\u770b\uff0c\u91cf\u5b50\u4fe1\u606f\u7684\u7406\u8bba\u8ba1\u7b97\u673a\u5b66\u5bb6Ronald de Wolf\u4eceProbably Approximately Correct(PAC) learning model\u7684\u91cf\u5b50\u7248\u672c\u6765\u5206\u6790\u7b97\u6cd5\u7684time\uff0cquery\u548csample\u7684\u590d\u6742\u5ea6[12]\u3002<\/p>\n<\/section>\n<\/section>\n

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\u5f53\u7136\u9664\u4e86\u7269\u7406\u5bf9\u673a\u5668\u5b66\u4e60\u7684\u542f\u53d1\uff0c\u673a\u5668\u5b66\u4e60\u5bf9\u7269\u7406\u7684\u7814\u7a76\u4e5f\u6709\u5f88\u5927\u7684\u7a81\u7834\u3002\u6700\u5e7f\u4e3a\u4eba\u77e5\u7684\u662f\u53bb\u5e742016\u5e74\u4e0b\u534a\u5e74Troyer\u4ed6\u4eec\u7ec4\u53d1\u5728Science\u4e0a\u7684\u4e00\u7bc7\u6587\u7ae0\uff0c\u7528\u795e\u7ecf\u7f51\u7edc\u6765\u89e3\u51b3\u91cf\u5b50\u591a\u4f53\u95ee\u9898[13]\uff0c\u968f\u540e\u53c8\u6709\u7814\u7a76\u4eba\u5458\u7528\u73bb\u5c14\u5179\u66fc\u673a\uff08Boltzmann machine\uff09\u6765\u505a\u591a\u4f53\u76f8\u53d8\uff0c\u62d3\u6251\u624b\u6027\u6001\uff0c\u91cf\u5b50\u63a7\u5236\uff0c\u91cf\u5b50\u7ea0\u9519\u7801\uff08quantum error correction\uff09\uff0c\u5168\u606f\uff08holography\uff09\u7b49\u7b49\u3002<\/p>\n<\/section>\n<\/section>\n

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\u6700\u540e\uff0c\u5173\u4e8e\u91cf\u5b50\u4fe1\u606f\u548c\u673a\u5668\u5b66\u4e60\u4ea4\u53c9\u9886\u57df\u66f4\u4e3a\u7ec6\u81f4\u7684survey\u53ef\u4ee5\u53c2\u8003[14,15]\u3002<\/p>\n


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\u672c\u6587\u4f5c\u8005\uff1a<\/strong><\/span><\/p>\n


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\"\u96c6\u667a\"<\/p>\n

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\u9ec4\u91d1\u9f99<\/strong> \u5357\u65b9\u79d1\u6280\u5927\u5b66\u5927\u56db\u672c\u79d1\u751f <\/span><\/p>\n

\u77e5\u4e4e\u53f7\uff1a\u5343\u98ce\u8005<\/strong><\/span><\/p>\n

\u7814\u7a76\u65b9\u5411\uff1a<\/span><\/strong><\/span>\u91cf\u5b50\u4fe1\u606f\u4e0e\u76f8\u5bf9\u8bba\u548c\u51dd\u805a\u6001\u7684\u4ea4\u53c9\u3002\u5927\u4e09\u65f6\u5206\u6790\u8fc7\u7ea0\u7f20\u5728\u9ed1\u6d1e\u9644\u8fd1\u5982\u4f55\u53d8\u5316\uff0c\u4e5f\u505a\u8fc7\u6ce2\u8272\u62bd\u6837\uff08quantum supremacy\u7684\u4e00\u79cd\u65b9\u6848\uff09\u7684\u7406\u8bba\u5206\u6790\u53ca\u7ecf\u5178\u6a21\u62df\u3002\u5bf9deep Boltzmann machine\u4ee5\u53ca\u673a\u5668\u5b66\u4e60\u7684\u7406\u8bba\u6a21\u578b\u6bd4\u8f83\u611f\u5174\u8da3\u3002<\/span><\/p>\n<\/blockquote>\n


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\u53c2\u8003\u6587\u732e\uff1a<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n

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1\uff09Schuld, Maria, Ilya Sinayskiy, and Francesco Petruccione. “The quest for a quantum neural network.” Quantum Information Processing 13.11 (2014): 2567-2586.<\/p>\n<\/section>\n<\/section>\n

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2\uff09Gr\u00f6ssing, Gerhard, and Anton Zeilinger. “Quantum cellular automata.” Complex Systems2.2 (1988): 197-208.<\/p>\n<\/section>\n<\/section>\n

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3\uff09Harrow, Aram W., Avinatan Hassidim, and Seth Lloyd. “Quantum algorithm for linear systems of equations.” Physical review letters 103.15 (2009): 150502.<\/p>\n<\/section>\n<\/section>\n

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4\uff09Rebentrost, Patrick, Masoud Mohseni, and Seth Lloyd. “Quantum support vector machine for big data classification.” Physical review letters 113.13 (2014): 130503.<\/p>\n<\/section>\n<\/section>\n

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5\uff09Lloyd, Seth, Masoud Mohseni, and Patrick Rebentrost. “Quantum principal component analysis.” arXiv preprint arXiv:1307.0401 (2013).<\/p>\n<\/section>\n<\/section>\n

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6\uff09Kerenidis, Iordanis, and Anupam Prakash. “Quantum recommendation systems.” arXiv preprint arXiv:1603.08675 (2016).<\/p>\n<\/section>\n<\/section>\n

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7\uff09Low, Guang Hao, Theodore J. Yoder, and Isaac L. Chuang. “Quantum inference on Bayesian networks.” Physical Review A 89.6 (2014): 062315.<\/p>\n<\/section>\n<\/section>\n

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8\uff09Dong, Daoyi, et al. “Quantum reinforcement learning.” IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38.5 (2008): 1207-1220.<\/p>\n<\/section>\n<\/section>\n

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9\uff09Mehta, Pankaj, and David J. Schwab. “An exact mapping between the variational renormalization group and deep learning.” arXiv preprint arXiv:1410.3831 (2014).<\/p>\n<\/section>\n<\/section>\n

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10\uff09Lin, Henry W., Max Tegmark, and David Rolnick. “Why does deep and cheap learning work so well?.” Journal of Statistical Physics (2016): 1-25.<\/p>\n<\/section>\n<\/section>\n

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11\uff09Levine, Yoav, et al. “Deep Learning and Quantum Physics: A Fundamental Bridge.” arXiv preprint arXiv:1704.01552 (2017).<\/p>\n<\/section>\n<\/section>\n

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12\uff09Arunachalam, Srinivasan, and Ronald de Wolf. “A survey of quantum learning theory.” arXiv preprint arXiv:1701.06806 (2017).<\/p>\n<\/section>\n<\/section>\n

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13\uff09Carleo, Giuseppe, and Matthias Troyer. “Solving the quantum many-body problem with artificial neural networks.” Science 355.6325 (2017): 602-606.<\/p>\n<\/section>\n<\/section>\n

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14\uff09Biamonte, Jacob, et al. “Quantum machine learning.” arXiv preprint arXiv:1611.09347(2016).<\/p>\n<\/section>\n<\/section>\n

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15\uff09Adcock, Jeremy, et al. “Advances in quantum machine learning.” arXiv preprint arXiv:1512.02900 (2015).<\/p>\n


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


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<\/span>\u673a\u5668\u5b66\u4e60\u3001\u7406\u8bba\u7269\u7406\u3001\u8ba1\u7b97\u793e\u4f1a\u5b66\u7684\u78b0\u649e | \u8bb02017\u96c6\u667a-\u51ef\u98ce\u7814\u8bfb\u8425<\/a>
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\u4e3a\u4eba\u7c7b\u7f16\u7a0b<\/a>
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<\/span>AI\u6539\u53d8\u4e86\u79d1\u5b66\u2014\u2014\u300a\u79d1\u5b66\u300b\u6700\u65b0AI\u7279\u520a | \u524d\u6cbf<\/a><\/strong><\/span><\/span><\/p>\n

\u8bed\u8a00\u4e2d\u9690\u85cf\u7684\u51e0\u4f55 | \u5f20\u6c5f<\/span><\/strong><\/a>
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\u4eba\u5de5\u667a\u80fd\u793e\u4f1a\u5b66\uff0d\u672a\u6765\u7684\u65b0\u5174\u5b66\u79d1\uff1f<\/a>
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\u4ece\u4e07\u7269\u6709\u7075\u5230AI\u638c\u7ba1\u4e16\u754c<\/a>
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\u900f\u89c6\u6df1\u5ea6\u5b66\u4e60\uff0c\u7545\u60f3\u672a\u6765\u5e94\u7528<\/a>
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\u63ea\u7740\u81ea\u5df1\u7684\u5934\u53d1\u79bb\u5f00\u5730\u7403<\/a><\/span><\/strong><\/span><\/p>\n


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\"\u96c6\u667a\"
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\u96c6\u667aQQ\u7fa4\uff5c292641157
\u5546\u52a1\u5408\u4f5c\uff5czhangqian@swarma.org
\u6295\u7a3f\u8f6c\u8f7d\uff5cwangting@swarma.org<\/span><\/strong><\/p>\n

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\u25c6 <\/span>\u25c6 <\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n

\u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n


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\u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

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\"\u96c6\u667a\"<\/p>\n<\/section>\n

\u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a \u96c6\u667a\u4ff1\u4e50\u90e8 <\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u4eba\u5de5\u667a\u80fd\u548c\u91cf\u5b50\u4fe1\u606f \u5728\u8bb2\u91cf\u5b50\u673a\u5668\u5b66\u4e60\u4e4b\u524d\u6211\u4eec\u5148\u6765\u516b\u5366\u4e00\u4e0b\u4eba\u5de5\u667a\u80fd\u548c\u91cf\u5b50\u4fe1\u606f\u30021956\uff0c\u8fbe\u7279\u8305\u65af\uff0c\u5341\u4f4d\u5927\u725b\u805a\u96c6\u4e8e\u6b64\uff0c\u9ea6\u5361\u9521\uff08John McCarthy\uff09\u7ed9\u8fd9\u4e2a\u6d3b\u52a8\u8d77\u4e86\u4e2a\u522b\u51fa\u5fc3\u88c1\u7684\u540d\u5b57\uff1a\u201c\u4eba\u5de5\u667a\u80fd\u590f\u5b63\u7814\u8ba8\u4f1a\u201d\uff08Summer Research Project on Artificial Intellige…<\/p>\n","protected":false},"author":1,"featured_media":4241,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[19,16],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/4240"}],"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"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4240"}],"version-history":[{"count":1,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/4240\/revisions"}],"predecessor-version":[{"id":4254,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/4240\/revisions\/4254"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/4241"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4240"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4240"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4240"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=4240"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}