{"id":20463,"date":"2020-07-26T22:51:47","date_gmt":"2020-07-26T14:51:47","guid":{"rendered":"https:\/\/swarma.org\/?p=20463"},"modified":"2020-07-26T22:51:47","modified_gmt":"2020-07-26T14:51:47","slug":"deepmind%e6%8f%90%e5%87%ba%e5%9b%be%e7%bd%91%e7%bb%9c%e6%a8%a1%e6%8b%9f%e5%99%a8%ef%bc%8c%e5%8a%a8%e7%94%bb%e6%95%88%e6%9e%9c%e9%80%bc%e7%9c%9f%ef%bc%8c3d%e7%89%b9%e6%95%88%e5%b8%88%e5%8f%af%e4%bb%a5","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=20463","title":{"rendered":"DeepMind\u63d0\u51fa\u56fe\u7f51\u7edc\u6a21\u62df\u5668\uff0c\u52a8\u753b\u6548\u679c\u903c\u771f\uff0c3D\u7279\u6548\u5e08\u53ef\u4ee5\u4e0b\u73ed\u4e86\uff01"},"content":{"rendered":"
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\u5bfc\u8bed<\/span><\/strong><\/span><\/section>\n
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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Learning to Simulate Complex Physics with Graph Networks<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

https:\/\/arxiv.org\/abs\/2002.09405<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u4f46\u73b0\u5728\uff0cDeepMind\u548c\u65af\u5766\u798f\u7b49\u4e00\u4f17\u79d1\u5b66\u5bb6\u7814\u7a76\u51fa\u4e86\u4e00\u6b3e\u56fe\u7f51\u7edc\u6a21\u62df\u5668<\/strong>\u2014\u2014GNS<\/strong>\u6846\u67b6\uff0cAI\u53ea\u9700\u8981\u201c\u770b\u7740\u201d\u573a\u666f\u4e2d\u7684\u6d41\u4f53\uff0c\u5c31\u80fd\u5c06\u5b83\u6a21\u62df\u51fa\u6765\u3002<\/span><\/p>\n


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GNS\u6846\u67b6\u662f\u8fc4\u4eca\u4e3a\u6b62\u6700\u7cbe\u786e<\/strong>\u7684\u901a\u7528\u5b66\u4e60\u7269\u7406\u6a21\u62df\u5668<\/strong>\u3002<\/span><\/p>\n<\/blockquote>\n


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\u5e76\u4e14\uff0c\u8fd9\u9879\u7814\u7a76\u6700\u8fd1\u8fd8\u88ab\u9876\u520a Science \u6536\u5f55\u3002<\/span><\/p>\n


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\u800c\u5728 DeepMind \u548c\u65af\u5766\u798f\u5927\u5b66\u7684\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u80e1\u6e0a\u9e23\u7684\u592a\u6781\uff0c\u4f9d\u7136\u53d1\u6325\u4e86\u4f5c\u7528\u3002<\/span><\/p>\n


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\u5de6\u4fa7\u7684\u57fa\u7ebf\u65b9\u6cd5\u53eb\u505a SPH <\/strong>\uff08smoothed particle hydrodynamics\uff09\uff0c\u8fd9\u662f1992\u5e74\u63d0\u51fa\u7684\u4e00\u79cd\u57fa\u4e8e\u9897\u7c92\u7684\u6a21\u62df\u6d41\u4f53\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n


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\u8fd9\u79cd\u65b9\u6cd5\u88ab\u79f0\u4e3a\u7269\u8d28\u70b9\u6cd5\uff08Material Point Method\uff09\uff0c\u5c06\u4e00\u5757\u6750\u6599\u79bb\u6563<\/strong>\u6210\u975e\u5e38\u591a\u7684\u9897\u7c92\uff0c\u5e76\u8ba1\u7b97\u7a7a\u95f4\u5bfc\u6570\u548c\u6c42\u89e3\u52a8\u91cf\u65b9\u7a0b\u3002<\/span><\/p>\n


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\u7ecf\u8fc7\u80e1\u6e0a\u9e23\u7b49\u4eba\u6539\u8fdb\u7684 MLS-MPM\uff0c\u6a21\u62df\u7269\u4f53\u7684\u901f\u5ea6\u6709\u4e86\u5f88\u5927\u7684\u63d0\u5347\uff0c\u76f8\u6bd4\u4e8e\u539f\u6765\u7684 MPM \u5feb\u4e86\u4e24\u500d\u5de6\u53f3\u3002<\/span><\/p>\n


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DeepMind\u5728\u8fd9\u6837\u7684\u60f3\u6cd5\u4e0a\uff0c\u91c7\u7528\u4e86 GNS \u5bf9\u751f\u6210\u7684\u8fd9\u4e9b\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3\uff0c\u7528\u4e8e\u6a21\u62df\u7269\u4f53\u5728\u771f\u5b9e\u573a\u666f\u4e0b\u7684\u7279\u6548\u3002<\/span><\/p>\n


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\u56fe\u7f51\u7edc\u9884\u6d4b\u7269\u4f53\u7279\u6548<\/strong><\/span><\/h3>\n


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GNS\u6a21\u62df\u7269\u4f53\u6700\u6839\u672c\u7684\u539f\u7406\uff0c\u662f\u5c06\u4e00\u5757\u4f53\u79ef\u4e0d\u53d8<\/strong>\u7684\u7269\u4f53\u6a21\u578bX\uff0c\u5206\u6563\u6210\u8bb8\u591a\u9897\u7c92\uff0c\u5e76\u901a\u8fc7\u4e00\u4e2a\u6a21\u62df\u5668 s\u03b8\uff0c\u8f6c\u53d8\u6210\u5b83\u53d7\u5230\u649e\u51fb\u540e\u7684\u5f62\u6001\u3002<\/span><\/p>\n


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\u4ece\u4e0b\u56fe\u53ef\u89c1\uff0c\u6a21\u62df\u5668 s\u03b8 \u7684\u7528\u5904\uff0c\u662f\u5c06\u8fd9\u5757\u6d41\u4f53\u8f93\u5165\u5230\u4e00\u4e2a\u52a8\u529b\u5b66\u6a21\u578b d\u03b8 \u4e2d\uff0c\u5e76\u5c06\u4ea7\u751f\u7684\u4e00\u5e27\u5e27\u7ed3\u679c\u7528\u4e8e\u66f4\u65b0\u7269\u4f53\u53d8\u5f62\u7684\u8fc7\u7a0b\u3002<\/span><\/p>\n


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\u53ea\u8981\u6a21\u62df\u5668\u66f4\u65b0\u7684\u65f6\u95f4\u591f\u5feb\uff0c\u6211\u4eec\u770b\u89c1\u7684\u5c31\u662f\u8fd9\u5757\u7269\u4f53\u5728\u73bb\u7483\u76d2\u4e2d\u53d7\u5230\u649e\u51fb\u3001\u4e0d\u65ad\u53d8\u5f62\u7684\u6837\u5b50\u3002<\/span><\/p>\n


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\u56fe\u53f3\u4e3a\u6a21\u62df\u5668\u751f\u6210\u7684\u6548\u679c<\/span><\/strong><\/span>
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\u5173\u952e\u6765\u4e86\uff0c\u52a8\u529b\u5b66\u6a21\u578b d\u03b8 \u8981\u600e\u4e48\u5b9e\u73b0\uff1f<\/span><\/p>\n


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\u56e2\u961f\u91c7\u7528\u4e86\u201c\u4e09\u6b65\u8d70\u201d\u7684\u65b9\u6cd5\uff0c\u5c06\u6a21\u578b\u5206\u4e3a\u7f16\u7801\u5668\u3001\u5904\u7406\u5668\u548c\u89e3\u7801\u5668\u4e09\u90e8\u5206\u3002<\/span><\/p>\n


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\u4e00\u5757\u7269\u4f53\u7ecf\u8fc7\u7f16\u7801\u5668\u540e\uff0c\u7f16\u7801\u5668\u4f1a\u5c06\u7269\u4f53\u4e2d\u539f\u672c\u5206\u6563\u7684\u5404\u9897\u7c92\u67b6\u6784\u8d77\u6765\uff0c\u7ec4\u6210\u4e00\u4e2a\u201c\u770b\u4e0d\u89c1\u7684\u201d\u56fe\u3002<\/span><\/p>\n


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\u800c\u5728\u5904\u7406\u5668\u4e2d\uff0c\u56fe\u4e2d\u5404\u9897\u7c92\u7684\u5173\u7cfb\u4f1a\u4e0d\u65ad\u53d1\u751f\u53d8\u5316\uff0c\u56fe\u7f51\u7edc\u5b66\u4e60\u5f97\u5230\u7684\u4f20\u9012\u4fe1\u606f\u5c06\u4f1a\u5728\u56fe\u4e0a\u8fed\u4ee3 M \u6b21\u3002<\/span><\/p>\n


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\u6700\u540e\uff0c\u89e3\u7801\u5668\u4f1a\u5c06\u8fed\u4ee3\u597d\u7684\u52a8\u529b\u5b66\u4fe1\u606fY\uff0c\u4ece\u6700\u540e\u4e00\u6b21\u8fed\u4ee3\u51fa\u7684\u56fe\u4e2d\u63d0\u53d6\u51fa\u6765\u3002<\/span><\/p>\n


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\u53cd\u9988\u56de\u7269\u4f53 X \u4e0a\u540e\uff0c\u7269\u4f53\u4e2d\u7684\u9897\u7c92\u4fbf\u80fd\u4e00\u8fdb\u884c\u4e00\u5e27\u5e27\u6539\u53d8\uff0c\u8fde\u7eed\u8d77\u6765\u5c31\u662f\u6a21\u62df\u51fa\u7684\u6db2\u4f53\u5f62\u6001\u3002<\/span><\/p>\n


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\u53ef\u4ee5\u770b\u89c1\uff0c\u65e0\u8bba\u662f\u54ea\u79cd\u7269\u4f53\u5f62\u6001\uff0cGNS\u9884\u6d4b\u7684\u6548\u679c\u90fd\u4e0e\u771f\u503c\u975e\u5e38\u76f8\u8fd1\u3002<\/span><\/p>\n


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\u521b\u65b0\u70b9<\/strong><\/span><\/h3>\n


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\u4e0e\u4e4b\u524d\u4e00\u4e9b\u6a21\u62df\u6db2\u4f53\u7684\u795e\u7ecf\u7f51\u7edc\u76f8\u6bd4\uff0cGNS\u6700\u5927\u7684\u6539\u8fdb\u5728\u4e8e\uff0c\u5b83\u5c06\u4e0d\u540c\u7684\u7269\u4f53\u7c7b\u578b\uff0c\u8f6c\u53d8\u6210\u4e86\u8f93\u5165\u5411\u91cf\u7684\u4e00\u4e2a\u7279\u5f81<\/strong>\u3002<\/span><\/p>\n


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\u53ea\u9700\u8981\u5c06\u4e0d\u540c\u7684\u7269\u4f53\u7c7b\u578b\uff08\u4f8b\u5982\u6c99\u5b50\u3001\u6c34\u3001\u80f6\u8d28\u7269\u7b49\uff09\u7528\u4e0d\u540c\u7279\u5f81\u533a\u5206\uff0c\u5c31\u80fd\u8868\u73b0\u51fa\u5b83\u4eec\u7684\u72b6\u6001\u3002<\/span><\/p>\n


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\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u6b64\u524d\u4e00\u4e2a\u540d\u4e3aDLP\u7684\u3001\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u6db2\u4f53\u6a21\u62df\u5668\uff0c\u4e0eGNS\u76f8\u6bd4\u5c31\u8fc7\u4e8e\u590d\u6742\u3002<\/span><\/p>\n


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

\u540c\u6837\u662f\u6a21\u62df\u5404\u79cd\u6d41\u4f53\u6a21\u578b\uff0cDLP\u5219\u9700\u8981\u4e0d\u65ad\u5730\u4fdd\u5b58\u9897\u7c92\u4e4b\u95f4\u7684\u76f8\u5bf9\u4f4d\u79fb<\/strong>\uff0c\u751a\u81f3\u9700\u8981\u4fee\u6539\u6a21\u578b\u6765\u6ee1\u8db3\u4e0d\u540c\u7684\u6d41\u4f53\u7c7b\u578b\u2014\u2014\u6240\u9700\u8981\u7684\u8fd0\u7b97\u91cf\u8fc7\u4e8e\u5e9e\u5927\u3002<\/span><\/p>\n


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

\u4e0d\u4ec5\u5982\u6b64\uff0cGNS\u7684\u6a21\u62df\u6548\u679c\u7adf\u7136\u8fd8\u6bd4\u57fa\u4e8eDLP\u7684\u6a21\u62df\u5668\u66f4\u597d\u3002<\/span><\/p>\n


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\u7ec6\u8282\u66f4\u51fa\u4f17<\/strong><\/span><\/p>\n

<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u4e0b\u9762\u662fGNS\u4e0e\u4e00\u6b3e\u57fa\u4e8e DLP \u539f\u7406\u7684\u589e\u5f3a\u7248 CConv \u6a21\u62df\u5668\u7684\u6548\u679c\u5bf9\u6bd4\u3002<\/span><\/p>\n


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\u4e0e CConv \u76f8\u6bd4\uff0cGNS\u5728\u4e0d\u540c\u7269\u4f53\u7c7b\u578b\u7684\u6a21\u62df\u8868\u73b0\u4e0a\u4f9d\u65e7\u975e\u5e38\u4f18\u79c0\uff0c\u4e0b\u56fe\u662f\u4e8c\u8005\u5171\u540c\u6a21\u62df\u4e00\u4e2a\u6f02\u6d6e\u5728\u6c34\u4e0a\u7684\u65b9\u5757\u65f6\uff0c\u6240\u751f\u6210\u7684\u6548\u679c\u3002<\/span><\/p>\n


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\u53ef\u4ee5\u770b\u89c1\uff0cGNS\u751f\u6210\u7684\u65b9\u5757\u548c\u771f\u503c\u4e00\u6837\uff0c\u5728\u6c34\u4e2d\u6f02\u6d6e\u81ea\u5982\uff1b\u76f8\u6bd4\u4e4b\u4e0b\uff0cCConv\u751f\u6210\u7684\u65b9\u5757\u76f4\u63a5\u5728\u6c34\u7684\u51b2\u51fb\u4e0b\u53d8\u4e86\u5f62\uff08\u88ab\u751f\u6d3b\u51fb\u57ae\uff09\u3002<\/span><\/p>\n


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

\u5982\u679c\u91c7\u7528\u4e0e\u771f\u5b9e\u503c\u76f8\u6bd4\u7684\u5747\u65b9\u8bef\u5dee\uff08MSE\uff09\u8fdb\u884c\u5bf9\u6bd4\u7684\u8bdd\uff0c\u5728\u5404\u79cd\u7269\u4f53\u5f62\u6001\u4e0b\uff0cGNS\u90fd\u8981\u6bd4 CConv \u6548\u679c\u66f4\u4f73\u3002<\/span><\/p>\n


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

\u9664\u6b64\u4e4b\u5916\uff0c\u4e0b\u56fe\u5c55\u793a\u4e86 GNS \u5206\u522b\u91c7\u7528\u5f3a\u5316\u5b66\u4e60\u4e2d Rollout \u548c One-step \u4e24\u79cd\u7b97\u6cd5\u7b56\u7565\u7684\u5747\u65b9\u8bef\u5dee\u6548\u679c\u3002\uff08\u4ee5\u53ca\u8fed\u4ee3\u6b21\u6570\u3001\u662f\u5426\u5171\u4eab GN \u53c2\u6570\u3001\u8fde\u63a5\u534a\u5f84\u3001\u8bad\u7ec3\u566a\u58f0\u91cf\u3001\u5173\u8054\/\u72ec\u7acb\u7f16\u7801\u5668\u7b49\uff09<\/span><\/p>\n


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

\u53ef\u89c1\uff0c\u91c7\u53d6 Rollout \u7684\u6548\u679c\uff08\u4e0b\u534a\u90e8\u5206\uff09\u5728\u5404\u65b9\u9762\u90fd\u8981\u6bd4\u91c7\u53d6 One-step \u7684\u6548\u679c\u597d\u5f97\u591a\u3002<\/span><\/p>\n


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\u4e0d\u4ec5\u5982\u6b64\uff0c\u7ea2\u8272\u90e8\u5206\u662f GNS \u6a21\u578b\u6700\u7ec8\u91c7\u7528\u7684\u7b56\u7565\uff0c\u53ef\u89c1\uff0c\u6240\u6709\u7b56\u7565\u90fd\u5c06\u5747\u65b9\u8bef\u5dee\u964d\u5230\u4e86\u6700\u4f4e\u3002<\/span><\/p>\n


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\u56db\u4f4d\u5171\u540c\u4e00\u4f5c<\/strong><\/span><\/p>\n

<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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

\u8fd9\u9879\u7814\u7a76\u4e3b\u8981\u7531 DeepMind \u548c\u65af\u5766\u798f\u5927\u5b66\u5408\u4f5c\u3002<\/span><\/p>\n


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

\u8bba\u6587\u7684\u5171\u540c\u4e00\u4f5c\u5171\u56db\u4f4d\u3002<\/span><\/p>\n


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

<\/p>\n

Alvaro Sanchez-Gonzalez<\/span><\/strong><\/span><\/p>\n


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

Alvaro Sanchez-Gonzalez \u672c\u79d1\u548c\u7855\u58eb\u653b\u8bfb\u7684\u4e13\u4e1a\u5206\u522b\u662f\u7269\u7406\u548c\u8ba1\u7b97\u673a\uff0c\u57fa\u4e8e\u8fd9\u6837\u7684\u80cc\u666f\uff0c\u5728\u535a\u58eb\u671f\u95f4\uff0c\u4ed6\u4e3b\u8981\u4e13\u6ce8\u4e8e\u4f7f\u7528\u8ba1\u7b97\u673a\u65b9\u6cd5\u6765\u89e3\u51b3\u7269\u7406\u7814\u7a76\u4e2d\u7684\u4e00\u4e9b\u6311\u6218\u3002<\/span><\/p>\n


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

2017\u5e74\u52a0\u5165\u8c37\u6b4c DeepMind \u56e2\u961f\uff0c\u7814\u7a76\u4e3b\u8981\u96c6\u4e2d\u5728\u7ed3\u6784\u5316\u65b9\u6cd5\u3001\u5f3a\u5316\u5b66\u4e60\u7b49\u3002<\/span><\/p>\n


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

<\/p>\n

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


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

Jonathan Godwin\u57282018\u5e743\u6708\u52a0\u5165DeepMind\uff0c\u5e76\u4e8e2019\u5e7411\u6708\u664b\u5347\u4e3a\u9ad8\u7ea7\u7814\u7a76\u5de5\u7a0b\u5e08\u3002<\/span><\/p>\n


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\u6b64\u524d\uff0c\u4ed6\u4e5f\u6709\u8fc7\u81ea\u5df1\u521b\u4e1a\u7684\u7ecf\u5386\uff0c\u5206\u522b\u662f\u4fe1\u606f\u79d1\u6280\u670d\u52a1\u516c\u53f8 Bit by Bit Computer Consulting \u548c\u91d1\u878d\u516c\u53f8 Community Capital \u7684 CEO\u3002<\/span><\/p>\n


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

\u5728\u521b\u4e1a\u540e\u548c\u52a0\u5165 DeepMind \u4e4b\u524d\uff0c\u4ed6\u8fd8\u5728\u8ba1\u7b97\u673a\u8f6f\u4ef6\u516c\u53f8 Bloomsbury AI \u505a\u4e86\u4e00\u5e74\u591a\u7684\u673a\u5668\u5b66\u4e60\u5de5\u7a0b\u5e08\u3002<\/span><\/p>\n


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

<\/p>\n

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


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

Tobias Pfaff \u662f DeepMind \u7684\u4e00\u540d\u7814\u7a76\u79d1\u5b66\u5bb6\uff0c\u4ece\u4e8b\u7269\u7406\u6a21\u62df\u548c\u673a\u5668\u5b66\u4e60\u7684\u4ea4\u53c9\u7814\u7a76\u3002<\/span><\/p>\n


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\u5206\u522b\u5728\u82cf\u9ece\u4e16\u8054\u90a6\u7406\u5de5\u5b66\u9662\u548c\u52a0\u5dde\u4f2f\u514b\u5229\u5206\u6821\uff0c\u5b8c\u6210\u535a\u58eb\u548c\u535a\u58eb\u540e\u7684\u5b66\u4e60\u4efb\u52a1\u3002<\/span><\/p>\n


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<\/p>\n

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


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\u7b2c\u56db\u4f4d\u5171\u540c\u4e00\u4f5c\u662fRex Ying\uff0c\u76ee\u524d\u5728\u65af\u5766\u798f\u5927\u5b66\u653b\u8bfb\u535a\u58eb\u5b66\u4f4d\uff0c\u7814\u7a76\u4e3b\u8981\u96c6\u4e2d\u5728\u5f00\u53d1\u5e94\u7528\u4e8e\u56fe\u5f62\u7ed3\u6784\u6570\u636e\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u3002<\/span><\/p>\n


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2016\u5e74\u4ee5\u6700\u9ad8\u8363\u8a89\u6bd5\u4e1a\u4e8e\u675c\u514b\u5927\u5b66\uff0c\u4e3b\u4fee\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u6570\u5b66\u4e24\u4e2a\u4e13\u4e1a\u3002<\/span><\/p>\n

\u2026\u2026<\/span><\/p>\n


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

\u6700\u540e\uff0c\u5bf9\u4e8eAI\u901a\u8fc7\u300c\u770b\u300d\u6765\u6a21\u62df\u5982\u6b64\u590d\u6742\u7684\u6d41\u4f53\u8fd0\u52a8\uff0c\u7f51\u53cb\u8ba4\u4e3a\uff1a<\/span><\/p>\n

\n

\u8111\u80fd\u6a21\u62df\u5404\u79cd\u590d\u6742\u8fd0\u52a8\uff0c\u9760\u7684\u5c31\u662f\u795e\u7ecf\u7f51\u7edc\uff0c\u800c\u4e0d\u662f\u590d\u6742\u7684\u529b\u5b66\u516c\u5f0f\u3002<\/span><\/p>\n<\/blockquote>\n

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\u4e0d\u4ec5\u5982\u6b64\uff0c\u8fd9\u9879\u6280\u672f\u6216\u8bb8\u8fd8\u5927\u5e45\u964d\u4f4e\u5f71\u89c6\u3001\u6e38\u620f\u884c\u4e1a\u7279\u6548\u6210\u672c\u3002<\/span><\/p>\n


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

\u90a3\u4e48\uff0c\u8fd9\u6837\u7684\u6280\u672f\uff0c\u4f60\u770b\u597d\u5417\uff1f<\/span><\/p>\n


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


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

\u53c2\u8003\u94fe\u63a5\uff1a<\/strong><\/span><\/p>\n

[1] https:\/\/www.sciencemag.org\/news\/2020\/07\/watch-artificial-intelligence-learn-simulate-sloppy-mixtures-water-sand-and-goop<\/span><\/p>\n

[2] https:\/\/arxiv.org\/abs\/2002.09405<\/span><\/p>\n

[3] https:\/\/sites.google.com\/view\/learning-to simulate\/home#h.p_qUqtrBIqti4G<\/span><\/p>\n


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\u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n

\u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@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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\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<\/section>\n<\/section>\n<\/section>\n


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