{"id":41660,"date":"2023-04-07T16:43:57","date_gmt":"2023-04-07T08:43:57","guid":{"rendered":"https:\/\/swarma.org\/?p=41660"},"modified":"2023-04-07T16:43:57","modified_gmt":"2023-04-07T08:43:57","slug":"ai%e5%8a%a9%e5%8a%9b%e7%a7%91%e5%ad%a6%e5%ae%b6%ef%bc%9a%e5%88%a9%e7%94%a8ai%e4%bb%a3%e7%90%86%e6%a8%a1%e5%9e%8b%e5%92%8c%e6%89%a9%e6%95%a3%e6%a8%a1%e5%9e%8b%e8%be%85%e5%8a%a9%e7%a7%91%e5%ad%a6","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=41660","title":{"rendered":"AI\u52a9\u529b\u79d1\u5b66\u5bb6\uff1a\u5229\u7528AI\u4ee3\u7406\u6a21\u578b\u548c\u6269\u6563\u6a21\u578b\u8f85\u52a9\u79d1\u5b66\u8bbe\u8ba1\u4e28\u5468\u65e5\u76f4\u64ad\u00b7AI+Science\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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AI for Scientific Design\u662f\u4e00\u4e2a\u8f83\u65b0\u7684\u7814\u7a76\u9886\u57df\uff0c\u662f\u6307\u5c06\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff0c\u4f8b\u5982\u673a\u5668\u5b66\u4e60\u548c\u4f18\u5316\u7b97\u6cd5\uff0c\u5e94\u7528\u4e8e\u5b9e\u9a8c\u8bbe\u8ba1\u548c\u79d1\u5b66\u7814\u7a76\u8fc7\u7a0b\u4e2d\u3002AI\u63d0\u4f9b\u4e86\u8bb8\u591a\u65b0\u5174\u7684\u65b9\u6cd5\uff0c\u5982\u53cd\u5411\u4f20\u64ad\u548c\u6269\u6563\u6a21\u578b\uff0c\u7528\u4e8e\u79d1\u5b66\u8bbe\u8ba1\u4e2d\u7684\u5b8f\u89c2\u7cfb\u7edf\u53c2\u6570\u7684\u63a8\u6d4b\u548c\u4f18\u5316\u3002\u540c\u65f6\uff0c\u56fe\u8868\u793a\u5b66\u4e60\u548c\u51e0\u4f55\u8868\u793a\u5b66\u4e60\u4e5f\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5fae\u89c2\u7cfb\u7edf\u7684\u8bbe\u8ba1\u548c\u4f18\u5316\u3002\u672c\u6b21\u5206\u4eab\u6765\u81ea\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\u548c\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u5f90\u6c11\u51ef\u5171\u540c\u63a2\u8ba8\u751f\u6210\u6a21\u578b\u3001\u56fe\u8868\u793a\u5b66\u4e60\u7b97\u6cd5\u548c\u6269\u6563\u6a21\u578b\u5728\u81ea\u7136\u79d1\u5b66\u4e2d\u7684\u5e94\u7528\uff0c\u4ee5\u53ca\u5b83\u4eec\u5982\u4f55\u63a8\u52a8\u79d1\u5b66\u8bbe\u8ba1\u7684\u53d1\u5c55\u3002<\/span><\/strong><\/span><\/strong><\/p>\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\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\u201c<\/span><\/strong><\/a>AI+Science<\/a><\/strong>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\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\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><\/strong><\/p>\n<\/section>\n


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\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/tailin.org\/<\/span><\/section>\n

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1.Allen, Kelsey R., et al. “Physical design using differentiable learned simulators.” arXiv preprint arXiv:2202.00728 (2022), NeurIPS 2022<\/span><\/p>\n

\u63a8\u8350\u8bed\uff1a\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u5b66\u4e60\u6b63\u6f14\u6a21\u62df\u5668\u548c\u57fa\u4e8e\u68af\u5ea6\u7684\u8bbe\u8ba1\u4f18\u5316\uff0c\u89e3\u51b3\u4e86\u5177\u6709\u590d\u6742\u7269\u7406\u52a8\u529b\u5b66\u7684\u9ad8\u7ef4\u95ee\u9898\uff0c\u5305\u62ec\u6d41\u4f53\u6d41\u52a8\u7684\u8868\u9762\u8bbe\u8ba1\u548c\u5de5\u5177\u8bbe\u8ba1\uff0c\u4ee5\u53ca\u7ffc\u578b\u5f62\u72b6\u7684\u4f18\u5316\u3002<\/span><\/p>\n

2.Xu M, Yu L, Song Y, et al. Geodiff: A geometric diffusion model for molecular conformation generation[J]. arXiv preprint arXiv:2203.02923, 2022.<\/span><\/p>\n

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3.Zhao Q, Lindell D B, Wetzstein G. Learning to solve pde-constrained inverse problems with graph networks[J]. arXiv preprint arXiv:2206.00711, 2022.<\/span><\/p>\n

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\u8bfe\u7a0b\u7f51\u7ad9\uff1ahttp:\/\/web.stanford.edu\/class\/cs224w\/<\/span><\/section>\n

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\u4ece 2020 \u5e74 3 \u6708\u5f00\u59cb\uff0c\u5386\u7ecf 3 \u4e2a\u591a\u6708\u7684\u65f6\u95f4\uff0c\u5171\u540c\u7814\u8bfb\u4e86 26 \u7bc7\u7ecf\u5178\u8bba\u6587\uff0c\u6db5\u76d6\u4e86\u6570\u636e\u9a71\u52a8\u7684\u7f51\u7edc\u91cd\u6784\u4f53\u7cfb\uff0c\u4ecb\u7ecd\u4e86\u8d85\u8d8a\u6570\u636e\u9a71\u52a8\u7684\u56e0\u679c\u63a8\u65ad\u65b9\u6cd5\uff0c\u5e76\u4e14\u4ecb\u7ecd\u4e86\u8fd9\u4e9b\u65b9\u6cd5\u5728\u91d1\u878d\u3001\u7ecf\u6d4e\u3001\u751f\u7269\u3001\u5730\u7403\u7b49\u7cfb\u7edf\u4e2d\u7684\u5e94\u7528\u3002<\/span><\/section>\n

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\u56fe\u7f51\u7edc\u6df1\u5ea6\u89e3\u6790\uff1a\u4e3a\u4ec0\u4e48\u8bf4\u56fe\u7f51\u7edc\u662f AI \u7684\u672a\u6765\uff1f<\/a><\/span><\/p>\n

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AI\u751f\u6210\u827a\u672f\u7684\u5e95\u5c42\u539f\u7406\uff1a\u975e\u5e73\u8861\u7269\u7406\u7684\u6269\u6563\u6a21\u578b<\/a><\/span><\/p>\n

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\u6982\u5ff5\u89e3\u6790 <\/span> \u79d1\u5b66\u8bbe\u8ba1<\/span><\/strong><\/span><\/section>\n
AI for Scientific Design\u662f\u4e00\u4e2a\u8f83\u65b0\u7684\u7814\u7a76\u9886\u57df\uff0c\u76ee\u524d\u4ecd\u5728\u79ef\u6781\u63a2\u7d22\u548c\u53d1\u5c55\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5728\u8be5\u9886\u57df\u53d6\u5f97\u91cd\u8981\u6210\u5c31\u7684\u5de5\u4f5c\uff1a<\/span><\/section>\n
Adaptive experiments Machine learning can help scientific discovery<\/span><\/strong><\/span><\/section>\n

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(\u56fe\u7247\u6765\u6e90\uff1aAdaptive experiments Machine learning can help scientific discovery\uff09<\/span><\/section>\n

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\u8fd9\u662fColumbia\u5927\u5b66\u7684\u7814\u7a76\u4eba\u5458\u5728\u6750\u6599\u79d1\u5b66\u9886\u57df\u7684\u4e00\u9879\u5de5\u4f5c\uff0c\u5229\u7528\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\u548c\u9ad8\u901a\u91cf\u5b9e\u9a8c\u6280\u672f\u8bbe\u8ba1\u65b0\u6750\u6599\u7684\u5b9e\u9a8c\u6d41\u7a0b\uff0c\u5e76\u5b9e\u73b0\u4e86\u8f83\u9ad8\u7684\u6210\u529f\u7387\u3002<\/span><\/section>\n
Bayesian Optimization for Materials Science<\/span><\/strong><\/span><\/section>\n

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(\u56fe\u7247\u6765\u6e90\uff1aBayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables)<\/span><\/p>\n


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Automated Chemical Design Using a Data-Driven Continuous Representation of Molecules<\/span><\/strong><\/section>\n

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(\u56fe\u7247\u6765\u6e90\uff1aAutomatic Chemical Design Using a Data-Driven Continuous Representation of Molecules\uff09<\/span><\/p>\n


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\u8fd9\u4e9b\u5de5\u4f5c\u90fd\u5728AI for Scientific Design\u9886\u57df\u4e2d\u53d6\u5f97\u4e86\u91cd\u8981\u7684\u8fdb\u5c55\uff0c\u4e3a\u63a8\u52a8\u79d1\u5b66\u7814\u7a76\u63d0\u4f9b\u4e86\u65b0\u7684\u601d\u8def\u548c\u65b9\u6cd5\u3002\u8fd9\u4e9b\u521b\u65b0\u6027\u7684\u65b9\u6cd5\u4e3a\u6750\u6599\u79d1\u5b66\u9886\u57df\u7684\u7814\u7a76\u548c\u53d1\u5c55\u5e26\u6765\u4e86\u65b0\u7684\u601d\u8def\u548c\u65b9\u6cd5\uff0c\u6709\u671b\u5728\u672a\u6765\u7684\u79d1\u7814\u5b9e\u8df5\u4e2d\u5f97\u5230\u5e7f\u6cdb\u5e94\u7528\u3002<\/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\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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