{"id":59241,"date":"2025-05-08T17:50:51","date_gmt":"2025-05-08T09:50:51","guid":{"rendered":"https:\/\/swarma.org\/?p=59241"},"modified":"2025-05-08T17:50:51","modified_gmt":"2025-05-08T09:50:51","slug":"%e3%80%8aaixscience%e5%8d%81%e5%a4%a7%e5%89%8d%e6%b2%bf%e8%a7%82%e5%af%9f%e3%80%8b6%ef%bc%9aai-%e4%bb%bf%e7%9c%9f%e4%b8%8e%e7%b3%bb%e7%bb%9f%e6%a8%a1%e6%8b%9f","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=59241","title":{"rendered":"\u300aAI\u00d7SCIENCE\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u300b6\uff1aAI \u4eff\u771f\u4e0e\u7cfb\u7edf\u6a21\u62df"},"content":{"rendered":"
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\u4e0a\u6d77\u79d1\u5b66\u667a\u80fd\u7814\u7a76\u9662\u3001\u96c6\u667a\u79d1\u5b66\u7814\u7a76\u4e2d\u5fc3\u548c\u963f\u91cc\u4e91\u8054\u5408\u53d1\u5e03\u4e86\u300aAI \u00d7 Science\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u300b\uff0c\u68b3\u7406\u51fa35\u4e2a\u7814\u7a76\u524d\u6cbf\uff0c\u6765\u63a8\u52a8\u79d1\u5b66\u53d1\u5c55\u7684\u9ec4\u91d1\u65f6\u4ee3\u5230\u6765\u3002\u672c\u7bc7\u4e3a\u524d\u6cbf\u89c2\u5bdf6\uff0c\u626b\u63cf\u4e0b\u65b9\u4e8c\u7ef4\u7801\uff0c\u53ef\u83b7\u5f97\u5b8c\u6574\u7248\u4e0b\u8f7d\u5730\u5740\u3001\u5feb\u901f\u94fe\u63a5\u8bba\u6587\u539f\u6587\u3002<\/span><\/span><\/strong><\/p>\n


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\u626b\u63cf\u4e8c\u7ef4\u7801 \u4e0b\u8f7d\u5b8c\u6574\u62a5\u544a<\/span><\/strong><\/section>\n<\/section>\n
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\u80cc\u666f\u4ecb\u7ecd<\/span><\/span><\/p>\n

\u5728\u590d\u6742\u7cfb\u7edf\u7814\u7a76\u4e2d\uff0c\u4ece\u5fae\u89c2\u7684\u91cf\u5b50\u7c92\u5b50\uff0c\u5982\u53ef\u63a7\u6838\u805a\u53d8\u4e2d\u7684\u7b49\u79bb\u5b50\u4f53\u6f14\u5316\uff0c\u4e2d\u89c2\u7684\u7269\u7406\u6d41\u4f53\u52a8\u529b\u5b66\u3001\u751f\u7269\u667a\u80fd\u8fd0\u52a8\uff0c\u5230\u5927\u5c3a\u5ea6\u7684\u5168\u7403\u6c14\u5019\u53d8\u5316\u7b49\u5b8f\u89c2\u73b0\u8c61\uff0c\u90fd\u9700\u8981\u901a\u8fc7\u79d1\u5b66\u4eff\u771f\u5de5\u5177\u6765\u9884\u6d4b\u7cfb\u7edf\u7684\u884c\u4e3a\u548c\u6f14\u5316\u3002<\/span><\/span><\/p>\n

\u4ece\u5386\u53f2\u53d1\u5c55\u6765\u770b\uff0c\u79d1\u5b66\u4eff\u771f\u7ecf\u5386\u4e86\u4e09\u4e2a\u91cd\u8981\u9636\u6bb5\uff1a\u6700\u521d\u57fa\u4e8e\u7b2c\u4e00\u6027\u539f\u7406\u7684\u89e3\u6790\u6c42\u89e3\uff0c\u7136\u540e\u4e3b\u8981\u53d1\u5c55\u7684\u6570\u503c\u6a21\u62df\u65b9\u6cd5\u3002\u7136\u800c\u7531\u4e8e\u8fd9\u4e9b\u771f\u5b9e\u7cfb\u7edf\u5f80\u5f80\u8868\u73b0\u51fa\u591a\u5c3a\u5ea6\u3001\u591a\u7269\u7406\u573a\u8026\u5408\u7684\u7279\u5f81\uff0c\u5176\u590d\u6742\u6027\u5bf9\u4f20\u7edf\u89e3\u6790\u548c\u6570\u503c\u8ba1\u7b97\u65b9\u6cd5\u63d0\u51fa\u4e86\u5de8\u5927\u6311\u6218\uff0c\u4e00\u65b9\u9762\u4e0d\u80fd\u4fdd\u8bc1\u8db3\u591f\u7684\u7cbe\u5ea6\uff0c\u4e00\u65b9\u9762\u53c8\u5f88\u96be\u4ece\u6570\u636e\u4e2d\u53d1\u6398\u7cfb\u7edf\u7684\u5185\u5728\u673a\u5236\u548c\u56e0\u679c\u5173\u7cfb[2]\u3002<\/span><\/span><\/p>\n

\u6240\u5e78\u7684\u662f\uff0c\u5728\u878d\u5408\u7269\u7406\u7ea6\u675f\u4e0e\u6570\u636e\u9a71\u52a8\u7684\u57fa\u7840\u4e0a\uff0c\u57fa\u4e8eAI\u9a71\u52a8\u7684\u65b0\u4e00\u4ee3\u79d1\u5b66\u4eff\u771f\u6280\u672f\u5e94\u8fd0\u800c\u751f\u3002AI\u4eff\u771f\u5668\u548c\u6570\u5b57\u5b6a\u751f[3]\u901a\u8fc7\u6df1\u5ea6\u5b66\u4e60\u548cAI for PDE\u79d1\u5b66\u6a21\u62df\u65b9\u6cd5\uff0c\u6216\u5f15\u5165\u56e0\u679c\u63a8\u7406\u6846\u67b6[4]\uff0c\u7ed3\u5408\u7269\u7406\u5148\u9a8c\u77e5\u8bc6\u6784\u5efa\u65b0\u4e00\u4ee3\u4eff\u771f\u7cfb\u7edf\uff0c\u4e3a\u7cfb\u7edf\u884c\u4e3a\u7406\u89e3\u548c\u9884\u6d4b\u5f00\u8f9f\u4e86\u65b0\u9014\u5f84\u3002\u5728\u751f\u7269\u7cfb\u7edf\u65b9\u9762\uff0c\u4ee5\u79c0\u4e3d\u7ebf\u866b\u4e3a\u4ee3\u8868\u7684\u6a21\u578b\u751f\u7269\u4e3a\u7814\u7a76\u590d\u6742\u751f\u547d\u7cfb\u7edf\u63d0\u4f9b\u4e86\u7406\u60f3\u5e73<\/span><\/span>\u53f0\uff0c<\/span><\/span>\u800c<\/span><\/span><\/span>\u57fa\u4e8eAI\u9a71\u52a8<\/span><\/span><\/span>\u7684<\/span><\/span><\/span>\u6570\u5b57\u751f\u547d\u4f53<\/span> (AIDO)<\/span>\uff0c<\/span><\/span><\/span>\u5219\u6784\u5efa\u4e86\u4e00\u4e2a\u591a\u5c3a\u5ea6\u7cfb\u7edf\u7684\u57fa\u7840\u6a21\u578b\uff0c\u5b9e\u73b0\u4e86\u4ece\u5206\u5b50\u5230\u6574\u4f53\u751f\u547d\u7684\u5168\u65b9\u4f4d\u9884\u6d4b\u4e0e\u6a21\u62df\u3002<\/span><\/span><\/p>\n

2024\u5e7412\u6708\u53d1\u5e03\u7684Genesis\u9879\u76ee\u66f4\u662f\u5c06\u7269\u7406\u4eff\u771f\u63a8\u5411\u4e86\u65b0\u9ad8\u5ea6\u3002\u8fd9\u4e2a\u9762\u5411\u673a\u5668\u4eba\u548c\u4eba\u5de5\u667a\u80fd\u7684\u751f\u6210\u5f0f\u7269\u7406\u5f15\u64ce\uff0c\u4e0d\u4ec5\u80fd\u9ad8\u6548\u6a21\u62df\u4ece\u521a\u4f53\u5230\u8f6f\u4f53\u7684\u5404\u7c7b\u7269\u7406\u4ea4\u4e92\uff0c\u8fd8\u9996\u6b21\u5b9e\u73b0\u4e86\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u63a7\u5236\u7684\u573a\u666f\u751f\u6210\uff0c\u4e3a\u7814\u7a76\u5177\u8eab\u667a\u80fd\u63d0\u4f9b\u4e86\u5f3a\u5927\u5de5\u5177\u3002<\/span><\/span><\/p>\n

\u8fd9\u4e9b\u8fdb\u5c55\u6807\u5fd7\u7740\u79d1\u5b66\u4eff\u771f\u6b63\u5728\u8fdb\u5165\u4e00\u4e2a\u65b0\u65f6\u4ee3\uff1a\u4ece\u5355\u4e00\u7269\u7406\u573a\u666f\u6269\u5c55\u5230\u591a\u5c3a\u5ea6\u3001\u591a\u5b66\u79d1\u4ea4\u53c9\uff0c\u4ece\u88ab\u52a8\u89c2\u5bdf\u8f6c\u5411\u4e3b\u52a8\u63a2\u7d22\uff0c\u4ece\u73b0\u8c61\u9884\u6d4b\u8fc8\u5411\u673a\u7406\u7406\u89e3\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u51e0\u9879\u4ee3\u8868\u6027\u5de5\u4f5c\u3002<\/span><\/span><\/p>\n


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    AI for PDE\uff08\u4eba\u5de5\u667a\u80fd\u6c42\u89e3\u504f\u5fae\u5206\u65b9\u7a0b\uff09<\/span><\/span><\/p>\n<\/li>\n

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    \u56e0\u679c\u6570\u5b57\u5b6a\u751f<\/span><\/span><\/p>\n<\/li>\n

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    AI\u9a71\u52a8\u7684\u591a\u5c3a\u5ea6\u6570\u5b57\u6709\u673a\u4f53\u5efa\u6a21<\/span><\/span><\/p>\n<\/li>\n

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    \u751f\u7269-\u73af\u5883\u95ed\u73af\u667a\u80fd\u4eff\u771f\u7cfb\u7edf<\/span><\/span><\/p>\n<\/li>\n

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    \u5177\u8eab\u751f\u6210\u5f0f\u7269\u7406\u6a21\u62df\u5f15\u64ce<\/span><\/span><\/p>\n<\/li>\n<\/ol>\n<\/blockquote>\n

    AI for PDE\uff08\u4eba\u5de5\u667a\u80fd\u6c42\u89e3\u504f\u5fae\u5206\u65b9\u7a0b\uff09<\/span><\/span><\/h3>\n

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    AI for PDE\u9886\u57df\u6d8c\u73b0\u51fa\u591a\u79cd\u521b\u65b0\u65b9\u6cd5\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u5229\u7528\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u6765\u6c42\u89e3\u3001\u5206\u6790\u548c\u53d1\u73b0\u504f\u5fae\u5206\u65b9\u7a0b\u3002<\/span><\/span>\u4ee5\u4e0b<\/span><\/span><\/span>\u662f<\/span><\/span><\/span>\u5bf9\u51e0\u79cd\u4e3b\u8981\u7684AI\u9a71\u52a8\u7684PDE\u6c42\u89e3\u65b9\u6cd5<\/span><\/span><\/span>\u7684<\/span><\/span><\/span>\u7b80\u5355\u4ecb\u7ecd\u3002<\/span><\/span><\/span><\/p>\n

    \u7269\u7406\u4fe1\u606f\u795e\u7ecf\u7f51\u7edc\uff08PINNs\uff09[5]<\/span><\/span><\/strong>\u662f\u4e00\u79cd\u901a\u8fc7\u5c06PDE\u7684\u63a7\u5236\u65b9\u7a0b\u878d\u5165\u795e\u7ecf\u7f51<\/span><\/span>\u7edc\u7684<\/span><\/span>\u635f\u5931\u51fd\u6570\u4e2d<\/span><\/span><\/span>\uff0c<\/span><\/span><\/span>\u6765\u8bad\u7ec3<\/span><\/span><\/span>\u795e\u7ecf\u7f51\u7edc\u6c42\u89e3PDE\u7684\u5f3a\u5927\u6846\u67b6 \u3002PINNs\u7684\u6838\u5fc3\u601d\u60f3\u662f\u5229\u7528\u795e\u7ecf\u7f51\u7edc\u5f3a\u5927\u7684\u51fd\u6570\u903c\u8fd1\u80fd\u529b\u6765\u8868\u793aPDE\u7684\u89e3\uff0c\u5e76\u901a\u8fc7\u6700\u5c0f\u5316\u4e00\u4e2a\u5305\u542bPDE\u6b8b\u5dee\u9879\u548c\u8fb9\u754c\/\u521d\u59cb\u6761\u4ef6\u9879\u7684\u635f\u5931\u51fd\u6570\u6765\u4f18\u5316\u7f51\u7edc\u53c2\u6570\u3002\u8fd1\u5e74\u6765\uff0c\u7814\u7a76\u4eba\u5458\u4e0d\u65ad\u63a2\u7d22\u6539\u8fdbPINNs\u5728\u7f51\u7edc\u67b6\u6784<\/span>\uff08\u5982KAN\uff09<\/span>\u3001\u4f18\u5316\u6280\u672f\u4ee5\u53ca\u5904\u7406\u590d\u6742\u95ee\u9898\u65b9\u9762\u7684\u80fd\u529b\uff0c\u4ee5\u89e3\u51b3\u5176\u5728\u5904\u7406\u9ad8\u9891\u548c\u591a\u5c3a\u5ea6\u95ee\u9898\u65f6\u9762\u4e34\u7684\u6311\u6218 \u3002<\/span><\/span>P<\/span><\/span><\/span>inn-jax<\/span><\/span><\/span>\u7b49\u5f00\u6e90\u5e93\u7684\u51fa\u73b0\u8fdb\u4e00\u6b65\u7b80\u5316\u4e86PINNs\u7684\u5f00\u53d1\u548c\u8bad\u7ec3\u8fc7\u7a0b \u3002\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0cPINNs\u4e0d\u4ec5\u53ef\u4ee5\u7528\u4e8e\u6c42\u89e3\u5df2\u77e5PDE\u7684\u6b63\u95ee\u9898\uff0c\u8fd8\u53ef\u4ee5\u5e94\u7528\u4e8e\u6839\u636e\u89c2\u6d4b\u6570\u636e\u53cd\u6f14PDE\u53c2\u6570\u6216\u53d1\u73b0\u672a\u77e5\u7269\u7406\u89c4\u5f8b\u7684<\/span><\/span>\u53cd\u95ee\u9898<\/span><\/span><\/span>\u3002<\/span><\/span><\/span><\/p>\n

    \u6df1\u5ea6\u80fd\u91cf\u65b9\u6cd5\uff08DEM\uff09[6]<\/span><\/span><\/strong>\u662f\u53e6\u4e00\u79cd\u57fa\u4e8e\u7269\u7406\u539f\u7406\u7684AI\u9a71\u52a8\u7684PDE\u6c42\u89e3\u65b9\u6cd5\uff0c\u5b83\u5229\u7528\u6700\u5c0f\u52bf\u80fd\u539f\u7406\u6765\u9884\u6d4b\u9759\u6001\u8f7d\u8377\u6761\u4ef6\u4e0b\u7684\u53d8\u5f62\uff0c\u53ef\u4ee5\u770b\u4f5c\u662f\u6709\u9650\u5143\u5206\u6790\u7684\u4e00\u79cd\u66ff\u4ee3\u65b9\u6848 \u3002\u4e0e\u4f20\u7edf\u7684\u57fa\u4e8e\u914d\u70b9\u7684PINNs\u4e0d\u540c\uff0cDEM\u4e3b\u8981\u4f9d\u8d56\u4e8e\u4e00\u9636\u5fae\u5206\u548c\u7cbe\u786e\u7684\u6570\u503c\u79ef\u5206\u6765\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc\u3002\u4e3a\u4e86\u5f25\u8865\u4f20\u7edfDEM\u7f3a\u4e4f\u6700\u5c0f\u4f59\u80fd\u5f62\u5f0f\u7684\u4e0d\u8db3\uff0c\u7814\u7a76\u4eba\u5458\u63d0\u51fa\u4e86\u6df1\u5ea6\u4e92\u8865\u80fd\u91cf\u65b9\u6cd5<\/span>\uff08DCEM\uff09<\/span> \u3002DCEM\u4ee5\u5e94\u529b\u51fd\u6570\u4f5c\u4e3a\u8f93\u51fa\uff0c\u80fd\u591f\u5929\u7136\u5730\u6ee1\u8db3\u5e73\u8861\u65b9\u7a0b\u3002\u6b64\u5916\uff0c\u4e3a\u4e86\u63d0\u9ad8DEM\u7684\u7cbe\u5ea6\uff0c\u7814\u7a76\u4eba\u5458\u8fd8\u5f15\u5165\u4e86\u968f\u673a\u5085\u91cc\u53f6\u7279\u5f81\u6620\u5c04\u7b49\u6280\u672f\uff0c\u5e76\u63d0\u51fa\u4e86\u7528\u4e8e\u8d85\u53c2\u6570\u4f18\u5316\u7684\u53cc\u5faa\u73af\u67b6\u6784 \u3002DEM\u7684\u4e00\u4e2a\u663e\u8457\u4f18\u70b9\u662f\u5176\u7f51\u683c\u65e0\u5173\u6027\uff0c\u8fd9\u4f7f\u5f97\u5b83\u5728\u5904\u7406\u590d\u6742\u6750\u6599<\/span>\uff08\u5982\u8d85\u5f39\u6027\u6750\u6599\u548c\u7c98\u5f39\u6027\u6750\u6599\uff09<\/span>\u7684\u53d8\u5f62\u95ee\u9898\u65f6\uff0c\u65e0\u9700\u751f\u6210\u5927\u91cf\u7684<\/span><\/span>\u8bad\u7ec3\u6570\u636e<\/span><\/span><\/span>\u3002<\/span><\/span><\/span><\/p>\n

    \u7b97\u5b50\u5b66\u4e60<\/span><\/span><\/strong>\u5219\u65e8\u5728\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc\u76f4\u63a5\u5b66\u4e60PDE\u89e3\u7b97\u5b50\uff0c\u5373\u4ece\u8f93\u5165\u51fd\u6570\u7a7a\u95f4<\/span>\uff08\u5982\u521d\u59cb\u6761\u4ef6\u6216\u8fb9\u754c\u6761\u4ef6\uff09<\/span>\u5230\u8f93\u51fa\u51fd\u6570\u7a7a\u95f4<\/span>\uff08PDE\u7684\u89e3\uff09<\/span>\u7684\u6620\u5c04 \u3002DeepONet\u662f\u4e00\u79cd\u5178\u578b\u7684\u7b97\u5b50\u5b66\u4e60\u65b9\u6cd5\uff0c\u5b83\u57fa\u4e8e\u7b97\u5b50\u7684\u6cdb\u903c\u8fd1\u5b9a\u7406\uff0c\u901a\u8fc7\u5b66\u4e60\u5206\u652f\u7f51\u7edc\u548c\u5e72\u7f51\u7edc\u6765\u903c<\/span><\/span>\u8fd1<\/span><\/span>\u975e\u7ebf\u6027\u7b97\u5b50\u3002<\/span><\/span><\/span>\u5085\u91cc\u53f6\u795e\u7ecf\u7b97\u5b50<\/span>\uff08FNOs\uff09<\/span>\u5219\u5229\u7528\u5085\u91cc\u53f6\u53d8\u6362\u5728\u9891\u57df\u8fdb\u884c\u5377\u79ef\u64cd\u4f5c\uff0c\u80fd\u591f\u9ad8\u6548\u5730\u5b66\u4e60PDE\u7684\u89e3\u7b97\u5b50\uff0c\u5e76\u4e14\u5177\u6709\u5206\u8fa8\u7387\u65e0\u5173\u6027 \u3002\u7269\u7406\u4fe1\u606f\u795e\u7ecf\u7b97\u5b50<\/span>\uff08PINOs\uff09<\/span>\u662f\u4e00\u79cd\u6df7\u5408\u65b9\u6cd5\uff0c\u5b83\u7ed3\u5408\u4e86\u7b97\u5b50\u5b66\u4e60\u548c\u7269\u7406\u4fe1\u606f\u4f18\u5316\u6846\u67b6\uff0c\u65e8\u5728\u63d0\u9ad8\u6536\u655b\u901f\u5ea6\u548c\u7cbe\u5ea6 \u3002\u6700\u8fd1\u7684\u7814\u7a76\u8fd8\u5bf9DeepONet[7]\u8fdb\u884c\u4e86\u6539\u8fdb\uff0c<\/span><\/span>\u5141\u8bb8\u5176<\/span><\/span><\/span>T<\/span><\/span><\/span>runk-branch\u7ed3\u6784\u4e2d\u7684<\/span><\/span><\/span>B<\/span><\/span><\/span>ranch\u7f51\u5bf9<\/span><\/span><\/span>T<\/span><\/span><\/span>runk\u7f51\u975e\u7ebf\u6027\u5e72\u6270\uff0c<\/span><\/span><\/span>\u63d0\u51fa\u4e86\u4e00\u79cd\u7269\u7406\u4fe1\u606f\u589e\u5f3a<\/span><\/span>\u7684\u6269\u5c55\u7248\u672c\uff0c\u7279\u522b\u9002\u7528\u4e8e\u89e3\u51b3\u590d\u6742\u7684\u975e\u7ebf\u6027\u504f\u5fae\u5206\u65b9\u7a0b<\/span>\uff08PDEs\uff09<\/span>\uff0c\u663e\u8457\u964d\u4f4e\u4e86\u7269\u7406\u635f\u5931\u3002<\/span><\/span><\/p>\n

    \u5fae\u5206\u540c\u80da\u6620\u5c04\u7b97\u5b50\u5b66\u4e60<\/span><\/span><\/strong>\uff08DIMON\uff09<\/span>[8]\u662f\u4e00\u79cd\u65b0\u5174\u7684AI\u6846\u67b6\uff0c\u5b83\u80fd\u591f\u6bd4\u8d85\u7ea7\u8ba1\u7b97\u673a\u66f4\u5feb\u5730\u5728\u666e\u901a\u4e2a\u4eba\u7535\u8111\u4e0a\u6c42\u89e3\u590d\u6742\u7684PDE \u3002DIMON\u7684\u5173\u952e\u80fd\u529b\u5728\u4e8e\uff0c\u5b83\u80fd\u591f\u4ece\u5355\u4e2a\u5df2\u6c42\u89e3\u7684\u5f62\u72b6\u4e2d\u5b66\u4e60\u6a21\u5f0f\uff0c\u5e76\u5c06\u8be5\u89e3\u6620\u5c04\u5230\u591a\u4e2a\u65b0\u7684\u5f62\u72b6\u4e0a\uff0c\u4ece\u800c\u907f\u514d\u4e86\u4e3a\u6bcf\u4e2a\u65b0\u5f62\u72b6\u91cd\u590d\u8fdb\u884c\u7f51\u683c\u5212\u5206\u548c\u8ba1\u7b97 \u3002\u8fd9\u79cd\u65b9\u6cd5\u5728\u9700\u8981\u5bf9\u591a\u4e2a\u590d\u6742\u51e0\u4f55\u5f62\u72b6\u6c42\u89e3PDE\u7684\u79d1\u5b66\u548c\u5de5\u7a0b\u9886\u57df\u5177\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u6f5c\u529b\uff0c\u5305\u62ec\u533b\u7597\u4fdd\u5065<\/span>\uff08\u5982\u5fc3\u5f8b\u5931\u5e38\u9884\u6d4b\uff09<\/span>\u3001\u822a\u7a7a\u822a\u5929\u548c\u6750\u6599\u79d1\u5b66 \u3002\u76ee\u524dDIMON\u7684\u4ee3\u7801\u5e93\u4e5f\u5df2\u516c\u5f00\u3002<\/span><\/span><\/p>\n

    \u56e0\u679c\u6570\u5b57\u5b6a\u751f<\/span><\/span><\/h3>\n

    \u63a8\u8350\u7406\u7531:<\/span><\/span><\/strong> \u56e0\u679c\u6570\u5b57\u5b6a\u751f<\/span> (Causal Digital Twin)<\/span> [4]\u5c06\u56e0\u679c\u63a8\u7406\u5f15\u5165\u4eff\u771f\u7cfb\u7edf\uff0c\u4e0d\u4ec5\u80fd\u6a21\u62df\u7cfb\u7edf\u884c\u4e3a\uff0c\u8fd8\u80fd\u63ed\u793a\u7cfb\u7edf\u5185\u5728\u7684\u56e0\u679c\u673a\u5236\uff0c\u4e3a\u667a\u80fd\u51b3\u7b56\u548c\u5e72\u9884\u63d0\u4f9b\u7406\u8bba\u57fa\u7840\u3002<\/span><\/span><\/p>\n

    \u4f20\u7edf\u7684\u6570\u5b57\u5b6a\u751f\u6280\u672f\u4e3b\u8981\u5173\u6ce8\u7cfb\u7edf\u884c\u4e3a\u7684\u6a21\u62df\u4e0e\u9884\u6d4b\uff0c\u800c\u56e0\u679c\u6570\u5b57\u5b6a\u751f\u5219\u901a\u8fc7\u5f15\u5165\u56e0\u679c\u63a8\u7406\u6846\u67b6\uff0c\u901a\u8fc7\u6982\u7387\u7f16\u7a0b\u4e0e\u56e0\u679c\u63a8\u7406\u7684\u6df1\u5ea6\u878d\u5408\uff0c\u8d4b\u4e88\u4e86\u7cfb\u7edf\u7406\u89e3\u201c\u4e3a\u4ec0\u4e48\u201d\u7684\u80fd\u529b\u3002<\/span><\/span><\/p>\n

    <\/section>\n

    CausalCity \u4eff\u771f\u73af\u5883 | \u6765\u6e90\uff1aMcDuff\uff0c Daniel\uff0c et al. “CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning.” Proceedings of the First Conference on Causal Learning and Reasoning\uff0c PMLR 177\uff0c 2022\uff0c pp. 559-575.<\/span><\/span><\/em><\/p>\n

    CausalCity[3]\u5c31\u662f\u5e94\u7528\u679c\u6570\u5b57\u5b6a\u751f\u6280\u672f\u7684\u5178\u578b\u6848\u4f8b\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u9ad8\u4fdd\u771f\u7684\u4eff\u771f\u73af\u5883\uff0c\u4f7f\u5176\u80fd\u7a81\u7834\u7b80\u5355\u7684\u201c\u6a21\u5f0f\u8bc6\u522b\u201d\uff0c\u7406\u89e3\u56e0\u679c\u5173\u7cfb\uff0c<\/span><\/span>\u8fd9\u5bf9\u81ea\u52a8\u9a7e\u9a76\u7b49\u590d\u6742\u7cfb\u7edf\u975e\u5e38\u91cd\u8981\u3002\u5176\u6838\u5fc3\u521b\u65b0\u5728\u4e8e\u5f15\u5165\u4e86\u201c\u4e3b\u4f53\u6027\u201d<\/span> (<\/span><\/span>A<\/span><\/span>gency) <\/span>\u7684\u6982\u5ff5<\/span><\/span>\u2014\u2014<\/span><\/span>\u73af\u5883\u4e2d\u7684\u6bcf\u4e2a\u5b9e\u4f53<\/span>\uff08\u5982\u8f66\u8f86\uff09<\/span>\u90fd\u5177\u6709\u57fa\u672c\u7684\u667a\u80fd\u6027\uff0c<\/span><\/span>\u80fd\u591f\u81ea\u4e3b\u51b3\u7b56\u4f4e\u5c42\u7ea7\u884c\u4e3a\u3002\u8fd9\u4f7f\u5f97\u7814\u7a76\u8005\u53ef\u4ee5\u7528\u7b80\u5355\u7684\u9ad8\u5c42\u7ea7\u914d\u7f6e\u6765\u5b9a\u4e49\u590d\u6742\u573a\u666f\uff0c\u800c\u4e0d\u9700\u8981\u6307\u5b9a\u6bcf\u4e2a\u5177\u4f53\u7684\u4f4e\u5c42\u7ea7\u52a8\u4f5c\u3002<\/span><\/span><\/p>\n

    CausalCity\u4e0e\u4e09\u4e2a\u4e3b\u6d41\u7684\u63a8\u7406\u6a21\u578b\u8fdb\u884c\u4e86\u5bf9\u6bd4\u5b9e\u9a8c\uff0c<\/span><\/span>\u5305\u62ec\uff1aNRI<\/span><\/span>\uff0c<\/span><\/span>\u4f7f\u7528\u53d8\u5206\u81ea\u7f16\u7801\u5668\u6846\u67b6<\/span><\/span>\uff0c\u901a\u8fc7\u8282\u70b9\u95f4\u7684\u6d88\u606f\u4f20\u9012\u673a\u5236\u6765\u53d1\u73b0\u7cfb\u7edf\u4e2d\u7684\u5173\u7cfb\u7ed3\u6784\u5e76\u91cd\u5efa\u8f68\u8ff9\uff1b<\/span><\/span>NS-DR<\/span><\/span>\uff0c<\/span><\/span>\u57fa\u4e8e\u4f20\u64ad\u7f51\u7edc<\/span><\/span>\uff0c\u5c06\u573a\u666f\u4e2d\u7684\u8f66\u8f86\u5efa\u6a21\u4e3a\u56fe\u4e2d\u7684\u8282\u70b9\uff0c\u901a\u8fc7\u5206\u6790\u8282\u70b9\u95f4\u7684\u72b6\u6001\u4f20\u64ad\u6765\u9884\u6d4b\u8f66\u8f86\u8fd0\u52a8\uff1b<\/span><\/span>V-CDN<\/span><\/span>\uff0c<\/span><\/span>\u91c7\u7528\u4e00\u4e2a\u4e09\u9636\u6bb5\u67b6\u6784\uff0c\u5305\u542b<\/span><\/span>\u611f\u77e5\u6a21\u5757<\/span>\uff08\u63d0\u53d6\u89c6\u89c9\u7279\u5f81\uff09<\/span>\u3001\u63a8\u7406\u6a21\u5757<\/span>\uff08\u6784\u5efa\u56e0\u679c\u56fe\u8c31\uff09<\/span>\u53ca\u52a8\u6001\u6a21\u5757<\/span>\uff08\u9884\u6d4b\u672a\u6765\u72b6\u6001\uff09<\/span><\/span>\u3002<\/span><\/span>\u8fd9\u4e9b\u65b9\u6cd5\u5728\u7b80\u5355\u573a\u666f\u4e0b\u8868\u73b0\u826f\u597d\uff0c\u4f46\u5728\u5f15\u5165\u6df7\u6742\u56e0\u7d20<\/span>\uff08\u5982\u4ea4\u901a\u4fe1\u53f7\u706f\uff09<\/span>\u7684\u590d\u6742\u573a\u666f\u4e2d\u6027\u80fd\u4f1a\u663e\u8457\u4e0b\u964d\uff0c\u800cCausalCity\u5219\u80fd\u8868\u73b0\u826f\u597d\u3002\u8fd9\u63ed\u793a\u4e86\u4f20\u7edf\u63a8\u7406\u65b9\u6cd5\u5728\u5904\u7406\u771f\u5b9e\u4e16\u754c\u590d\u6742\u6027\u65f6\u7684\u5c40\u9650\uff0c\u4ee5\u53ca\u5f15\u5165\u56e0\u679c\u63a8\u7406\u7684\u91cd\u8981\u6027\u3002<\/span><\/span><\/p>\n

    AI\u9a71\u52a8\u7684\u591a\u5c3a\u5ea6\u6570\u5b57\u6709\u673a\u4f53\u5efa\u6a21<\/span><\/span><\/h3>\n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong>\uff1a GenBio AI \u63d0\u51fa\u7684AI\u9a71\u52a8\u6570\u5b57\u6709\u673a\u4f53<\/span>\uff08AIDO\uff09<\/span>\u6846\u67b6[9]\uff0c\u4ee3\u8868\u4e86\u751f\u7269\u8ba1\u7b97\u4eff\u771f\u9886\u57df\u7684\u4e00\u9879\u91cc\u7a0b\u7891\u5f0f\u8fdb\u5c55\u3002\u8be5\u7814\u7a76\u9996\u6b21\u6784\u5efa\u4e86\u4e00\u4e2a\u6574\u5408\u5206\u5b50\u3001\u7ec6\u80de\u3001\u7ec4\u7ec7\u5230\u4e2a\u4f53\u6c34\u5e73\u7684\u591a\u5c3a\u5ea6\u57fa\u7840\u6a21\u578b\u7cfb\u7edf\uff0c\u901a\u8fc7\u6a21\u5757\u5316\u8bbe\u8ba1\u548c\u5206\u5c42\u6574\u5408\uff0c\u5b9e\u73b0\u4e86\u751f\u7269\u5b66\u73b0\u8c61\u7684\u9884\u6d4b\u3001\u6a21\u62df\u4e0e\u7f16\u7a0b\u3002\u76f8\u8f83\u4e8e\u4f20\u7edf\u5355\u4efb\u52a1\u6a21\u578b<\/span>\uff08\u5982AlphaFold\u3001ESMFold\uff09<\/span>\uff0cAIDO\u5728\u591a\u4e2a\u7ef4\u5ea6\u5b9e\u73b0\u4e86\u8303\u5f0f\u7a81\u7834\u3002<\/span><\/span><\/p>\n

    \u7814\u7a76\u56e2\u961f\u5f00\u53d1\u4e86\u8986\u76d6\u5168\u751f\u7269\u5c3a\u5ea6\u7684\u57fa\u7840\u6a21\u578b\u7ec4\u4ef6\u3002\u9488\u5bf9\u5206\u5b50\u5c42\u7ea7\uff0c\u63d0\u51fa\u4e86\u6df7\u5408\u5206\u8bcd\u5668<\/span>\uff08Hybrid Tokenizer\uff09<\/span>\u67b6\u6784\uff0c\u901a\u8fc7\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\u7f16\u7801\u86cb\u767d\u8d28\u4e09\u7ef4\u7ed3\u6784[10]\uff0c\u5e76\u7ed3\u5408\u5e8f\u5217\u6a21\u578b\u5b9e\u73b0DNA-RNA-\u86cb\u767d\u8d28\u7684\u4e2d\u592e\u6cd5\u5219\u7edf\u4e00\u5efa\u6a21[11]\uff1b\u5728\u7ec6\u80de\u5c42\u7ea7\uff0c\u8bbe\u8ba1\u4e86\u975e\u5bf9\u79f0\u7f16\u7801\u5668-\u89e3\u7801\u5668\u6846\u67b6\uff0c\u6709\u6548\u5904\u7406\u5355\u7ec6\u80de\u8f6c\u5f55\u7ec4\u6570\u636e\u7684\u9ad8\u7ef4\u7a00\u758f\u7279\uff1b<\/span><\/span>\u5728<\/span><\/span><\/span>\u8868\u578b\u5c42\u7ea7<\/span><\/span><\/span>\uff0c<\/span><\/span><\/span>\u5219\u5229\u7528\u81ea\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\u6784\u5efa<\/span><\/span><\/span>\u4e86<\/span><\/span><\/span>\u8fde\u7eed\u751f\u7406\u4fe1\u53f7<\/span>\uff08\u5982\u8840\u7cd6\u3001\u5fc3\u7535\u56fe\uff09<\/span>\u7684\u751f\u6210\u5f0f\u6a21\u578b[12]\u3002<\/span><\/span><\/span><\/p>\n

    <\/section>\n

    AIDO \u7684\u591a\u5c42\u7ea7\u67b6\u6784\uff1a\u6570\u636e\u5c42\u3001\u57fa\u7840\u6a21\u578b\u7cfb\u7edf\u5c42\u3001\u4e0b\u6e38\u5b9e\u7528\u5c42\u3001\u751f\u7269\u5de5\u7a0b\u5e94\u7528\u5c42 | \u6765\u6e90\uff1a”Toward AI-Driven Digital Organism: A System of Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels.”<\/span><\/span><\/em><\/p>\n

    AIDO\u7684\u521b\u65b0\u6027\u4f53\u73b0\u5728\u5176\u7cfb\u7edf\u6027\u6574\u5408\u80fd\u529b\u3002\u901a\u8fc7\u53ef\u5fae\u5206\u8ba1\u7b97\u56fe<\/span>\uff08DCG\uff09<\/span>\u6280\u672f\uff0c\u5c06\u5206\u5b50\u4ea4\u4e92\u7f51\u7edc\u3001\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u4e0e\u7ec6\u80de\u72b6\u6001\u6a21\u578b\u52a8\u6001\u8fde\u63a5\uff0c\u5f62\u6210\u95ed\u73af\u53cd\u9988\u673a\u5236\u3002\u4f8b\u5982\uff0c\u5728\u836f\u7269\u8bbe\u8ba1\u573a\u666f\u4e2d\uff0c\u86cb\u767d\u8d28\u751f\u6210\u6a21\u578b\u53ef\u57fa\u4e8e\u7ed3\u6784\u89e3\u7801\u5668\u751f\u6210\u5019\u9009\u5e8f\u5217\uff0c\u518d\u901a\u8fc7\u5206\u5b50\u52a8\u529b\u5b66\u8bc4\u5206\u6a21\u578b\u53cd\u5411\u4f18\u5316\u751f\u6210\u7b56\u7565\uff0c\u6700\u7ec8\u901a\u8fc7\u6e7f\u5b9e\u9a8c\u9a8c\u8bc1\u5f62\u6210\u8fed\u4ee3\u4f18\u5316\u5faa\u73af\u3002<\/span><\/span><\/p>\n

    \u8be5\u6846\u67b6\u7684\u8ba1\u7b97\u6548\u7387\u540c\u6837\u7a81\u51fa\u3002\u901a\u8fc7\u6df7\u5408\u67b6\u6784<\/span>\uff08\u5982CNN-Transformer\u878d\u5408\u6a21\u578b\uff09<\/span>\u548c\u9ad8\u6548\u5e76\u884c\u5316\u7b56\u7565\uff0c\u5b9e\u73b0\u4e86\u4ece\u57fa\u56e0\u5e8f\u5217<\/span>\uff08\u957f\u8fbe\u767e\u4e07\u78b1\u57fa\uff09<\/span>\u5230\u5668\u5b98\u7ea7\u8868\u578b<\/span>\uff08\u5982UK Biobank\u961f\u5217\u6570\u636e\uff09<\/span>\u7684\u591a\u5c3a\u5ea6\u5efa\u6a21\u3002\u7cfb\u7edf\u652f\u630130+\u79cd\u751f\u7269\u6570\u636e\u6a21\u6001\uff0c\u6db5\u76d6NCBI\u57fa\u56e0\u7ec4\u5e93\u3001PDB\u7ed3\u6784\u6570\u636e\u5e93\u7b49\u8d8510\u4ebf\u7ea7\u6570\u636e\u70b9\uff0c\u6a21\u578b\u53c2\u6570\u91cf\u7a81\u7834\u5343\u4ebf\u7ea7\u522b\u3002<\/span><\/span><\/p>\n

    AIDO\u7684\u5f00\u6e90\u751f\u6001\u4f53\u7cfb<\/span>\uff08GitHub: genbio-ai\/AIDO\uff09<\/span>\u4e3a\u793e\u533a\u63d0\u4f9b\u4e86\u6a21\u5757\u5316\u6269\u5c55\u80fd\u529b\u3002\u7814\u7a76\u4eba\u5458\u53ef\u72ec\u7acb\u8c03\u6574DNA\u5e8f\u5217\u6a21\u578b<\/span>\uff08AIDO.DNA[9]\uff09<\/span>\u3001\u86cb\u767d\u8d28\u9006\u6298\u53e0\u6a21\u578b<\/span>\uff08AIDO.ProteinIF[11]\uff09<\/span>\u7b49\u7ec4\u4ef6\uff0c\u6216\u901a\u8fc7\u8de8\u5c3a\u5ea6\u5bf9\u9f50\u4f18\u5316\u5b9e\u73b0\u5168\u7cfb\u7edf\u5347\u7ea7\u3002\u76ee\u524d\uff0c\u8be5\u7cfb\u7edf\u5df2\u5728300+\u751f\u7269\u4efb\u52a1\u4e2d\u8fbe\u5230SOTA\u6027\u80fd[11][13]\u3002<\/span><\/span><\/p>\n

    \u968f\u7740\u751f\u7269\u6570\u636e\u91cf\u7684\u6307\u6570\u589e\u957f\u548c\u8ba1\u7b97\u67b6\u6784\u7684\u6301\u7eed\u4f18\u5316\uff0cAIDO\u6709\u671b\u63a8\u52a8\u836f\u7269\u7814\u53d1\u3001\u5408\u6210\u751f\u7269\u5b66\u3001\u7cbe\u51c6\u533b\u5b66\u7b49\u9886\u57df\u7684\u8303\u5f0f\u53d8\u9769\u3002\u672a\u6765\uff0c\u901a\u8fc7\u6574\u5408\u66f4\u591a\u5b9e\u9a8c\u6a21\u6001\uff08\u5982\u7a7a\u95f4\u8f6c\u5f55\u7ec4\u3001\u4ee3\u8c22\u7ec4\uff09\u548c\u56e0\u679c\u63a8\u7406\u673a\u5236[14]\uff0c\u8be5\u7cfb\u7edf\u6216\u5c06\u6210\u4e3a\u89e3\u7801\u751f\u547d\u590d\u6742\u6027\u7684\u6838\u5fc3\u8ba1\u7b97\u5e73\u53f0\u3002<\/span><\/span><\/p>\n

    \u751f\u7269-\u73af\u5883\u95ed\u73af\u667a\u80fd\u4eff\u771f\u7cfb\u7edf<\/span><\/span><\/h3>\n

    \u63a8\u8350\u7406\u7531:<\/span><\/span><\/strong> BAAIWorm\u5929\u5b9d\u9879\u76ee\u4ee3\u8868\u4e86\u751f\u7269\u667a\u80fd\u4eff\u771f\u7814\u7a76\u9886\u57df\u7684\u4e00\u9879\u91cd\u8981\u8fdb\u5c55\u3002\u8fd9\u9879\u53d1\u8868\u5728Nature Computational Science\u5e76\u767b\u4e0a\u5c01\u9762\u7684\u7814\u7a76[15]\uff0c\u9996\u6b21\u5b9e\u73b0\u4e86\u5c06\u79c0\u4e3d\u7ebf\u866b\u7684\u795e\u7ecf\u7cfb\u7edf\u3001\u8eab\u4f53\u548c\u73af\u5883\u6574\u5408\u5230\u4e00\u4e2a\u5b8c\u6574\u7684\u95ed\u73af\u4eff\u771f\u7cfb\u7edf\u4e2d\uff0c\u4e3a\u63a2\u7d22\u201c\u5927\u8111-\u8eab\u4f53-\u73af\u5883\u201d\u4ea4\u4e92\u673a\u5236\u63d0\u4f9b\u4e86\u5168\u65b0\u7684\u7814\u7a76\u5e73\u53f0\u3002<\/span><\/span><\/p>\n

    \u76f8\u6bd4\u4e8e\u539f\u6709\u7684\u4eff\u771f\u7cfb\u7edf<\/span>\uff08\u5982OpenWorm[16]\uff09<\/span>\uff0cBAAIWorm\u5929\u5b9d\u5728\u591a\u4e2a\u65b9\u9762\u5b9e\u73b0\u4e86\u663e\u8457\u7a81\u7834\u3002<\/span><\/span><\/p>\n

    \u7814\u7a76\u56e2\u961f\u6784\u5efa\u4e86\u8fc4\u4eca\u4e3a\u6b62\u6700\u7cbe\u786e\u7684\u7ebf\u866b\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002\u8be5\u6a21\u578b\u5305\u542b136\u4e2a\u53c2\u4e0e\u611f\u77e5\u548c\u8fd0\u52a8\u529f\u80fd\u7684\u795e\u7ecf\u5143[17]\uff0c\u6bcf\u4e2a\u795e\u7ecf\u5143\u90fd\u91c7\u7528\u591a\u8231\u5ba4\u6a21\u578b\u8fdb\u884c\u5efa\u6a21\uff0c\u7cbe\u786e\u8fd8\u539f\u4e86\u771f\u5b9e\u795e\u7ecf\u5143\u7684\u7535\u751f\u7406\u7279\u6027\u3002\u6a21\u578b\u4e0d\u4ec5\u5728\u795e\u7ecf\u5143\u5c42\u9762\u5b9e\u73b0\u4e86\u9ad8\u5ea6\u4eff\u771f\uff0c\u8fd8\u901a\u8fc7\u521b\u65b0\u7684\u4f18\u5316\u7b97\u6cd5\uff0c\u4f7f\u795e\u7ecf\u7f51\u7edc\u6574\u4f53\u5448\u73b0\u51fa\u4e0e\u771f\u5b9e\u7ebf\u866b\u795e\u7ecf\u7cfb\u7edf\u76f8\u4f3c\u7684\u52a8\u6001\u7279\u6027\u3002<\/span><\/span><\/p>\n

    \u6b64\u5916\uff0cBAAIWorm\u8fd8\u662f\u4e00\u4e2a\u9ad8\u6027\u80fd\u7684\u201c\u8eab\u4f53-\u73af\u5883\u201d\u6a21\u578b\uff0c\u521b\u65b0\u6027\u5730\u91c7\u7528\u6295\u5f71\u52a8\u529b\u5b66\u4f5c\u4e3a\u5f62\u53d8\u6c42\u89e3\u5668[18]\uff0c\u5b9e\u73b0\u4e8630\u5e27\/\u79d2\u7684\u5b9e\u65f6\u4eff\u771f\uff0c\u4f7f\u73af\u5883\u5c3a\u5ea6\u63d0\u5347\u4e86\u4e24\u4e2a\u6570\u91cf\u7ea7\uff0c\u65e2\u5927\u5927\u63d0\u5347\u4e86\u8ba1\u7b97\u6548\u7387\uff0c\u53c8\u4fdd\u6301\u4e86\u751f\u7269\u529b\u5b66\u7279\u6027\u7684\u51c6\u786e\u6027\u3002<\/span><\/span><\/p>\n

    \u66f4\u91cd\u8981\u7684\u662f\uff0c\u7814\u7a76\u9996\u6b21\u5b9e\u73b0\u4e86\u7ebf\u866b\u795e\u7ecf\u7f51\u7edc\u4e0e\u8eab\u4f53\u73af\u5883\u7cfb\u7edf\u7684\u6301\u7eed\u95ed\u73af\u4ea4\u4e92\u3002\u4f8b\u5982\u5728\u5b8c\u6574\u7684\u7cfb\u7edf\u4eff\u771f\u4e2d\uff0c\u73af\u5883\u4e2d\u7684\u98df\u7269\u6d53\u5ea6\u7b49\u523a\u6fc0\u4f1a\u5f71\u54cd\u7ebf\u866b\u611f\u89c9\u795e\u7ecf\u5143\uff0c\u8fdb\u800c\u901a\u8fc7\u795e\u7ecf\u7f51\u7edc\u9a71\u52a8\u8fd0\u52a8\u795e\u7ecf\u5143\u4ea7\u751f\u534f\u8c03\u7684\u884c\u4e3a\u8f93\u51fa[19]\uff0c\u5e76\u6539\u53d8\u73af\u5883\u7684\u5c40\u90e8\u7684\u6d41\u4f53\u52a8\u529b\u5b66\u7279\u6027\u53cd\u8fc7\u6765\u518d\u5f71\u54cd\u7ebf\u866b\u3002\u8fd9\u79cd\u95ed\u73af\u8bbe\u8ba1\u4f7f\u5f97\u7cfb\u7edf\u80fd\u591f\u6a21\u62df\u771f\u5b9e\u7ebf\u866b\u7684\u884c\u4e3a\uff0c\u5982\u8d8b\u5316\u6027\u8fd0\u52a8\u7b49\u590d\u6742\u884c\u4e3a\u6a21\u5f0f\u3002\u7cfb\u7edf\u8fd8\u5f00\u53d1\u4e86\u521b\u65b0\u7684\u884c\u4e3a\u5206\u6790\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7a33\u5b9a\u5730\u91cf\u5316\u7ebf\u866b\u5728\u4e09\u7ef4\u7a7a\u95f4\u4e2d\u7684\u8fd0\u52a8\u8f68\u8ff9\u3002<\/span><\/span><\/p>\n

    <\/section>\n

    \u7ebf\u866b\u5929\u5b9d\u6982\u89c8 | \u6765\u6e90\uff1aAn integrative data-driven model simulating C. elegans brain, body and environment interactions<\/span><\/span><\/em><\/p>\n

    BAAIWorm\u5929\u5b9d\u5c55\u793a\u4e86\u5982\u4f55\u901a\u8fc7\u6570\u5b57\u5316\u91cd\u5efa\u6765\u7814\u7a76\u590d\u6742\u751f\u547d\u7cfb\u7edf\uff0c\u4e3a\u7406\u89e3\u751f\u7269\u667a\u80fd\u672c\u8d28\u63d0\u4f9b\u4e86\u91cd\u8981\u6307\u5f15\u3002\u76ee\u524d\u8be5\u7cfb\u7edf\u5df2\u5f00\u6e90\uff0c\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u6839\u636e\u9700\u8981\u72ec\u7acb\u4fee\u6539\u548c\u6269\u5c55\u5404\u4e2a\u6a21\u5757\u3002\u672a\u6765\uff0c\u968f\u7740\u5b9e\u9a8c\u6570\u636e\u7684\u4e0d\u65ad\u79ef\u7d2f\u548c\u7b97\u6cd5\u7684\u8fdb\u4e00\u6b65\u4f18\u5316\uff0cBAAIWorm\u5929\u5b9d\u6709\u671b\u6a21\u62df\u66f4\u591a\u884c\u4e3a\u6a21\u5f0f\uff0c\u6db5\u76d6\u66f4\u591a\u795e\u7ecf\u5143\u548c\u73af\u5883\u56e0\u7d20\uff0c\u4ece\u800c\u5728\u751f\u547d\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u53d1\u6325\u66f4\u5927\u7684\u63a8\u52a8\u4f5c\u7528\u3002<\/span><\/span><\/p>\n

    \u5177\u8eab\u751f\u6210\u5f0f\u7269\u7406\u6a21\u62df\u5f15\u64ce<\/span><\/span><\/h3>\n

    \u63a8\u8350\u7406\u7531:<\/span><\/span><\/strong> Genesis\u9879\u76ee[20]\u7531\u4e8e\u5176\u9ad8\u7cbe\u51c6\u7684\u5efa\u6a21\u80fd\u529b\uff0c\u5f00\u521b\u4e86\u4e00\u79cd\u9762\u5411\u673a\u5668\u4eba\u548c\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u65b0\u8303\u5f0f\u3002<\/span><\/span>\u8fd9\u4e2a\u7531<\/span><\/span><\/span>\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66<\/span><\/span><\/span>\u3001\u6e05\u534e\u7b4920\u591a\u5bb6\u9876\u5c16\u673a\u6784\u5386\u65f624\u4e2a\u6708\u5408\u4f5c\u5f00\u53d1\u7684\u751f\u6210\u5f0f\u7269\u7406\u5f15\u64ce\uff0c\u4e0d\u4ec5\u5c55\u793a\u4e86AI\u5728\u7269\u7406\u4e16\u754c\u6a21\u62df\u4e0a\u7684\u7a81\u7834\u6027\u8fdb\u5c55\uff0c\u66f4\u4e3a\u5b9e\u73b0\u5177\u8eab\u667a\u80fd<\/span><\/span><\/span>\u6784\u5efa\u4e86\u6280\u672f\u8def\u5f84<\/span><\/span><\/span>\u3002<\/span><\/span><\/span><\/p>\n

    Genesis\u7684\u51fa\u73b0\u4ee3\u8868\u4e86\u6a21\u62df\u4eff\u771f\u5e73\u53f0\u4e00\u4e2a\u65b0\u7684\u9ad8\u5ea6\uff1a\u4e0d\u518d\u5c40\u9650\u4e8e\u5355\u4e00\u7684\u7269\u7406\u6a21\u62df\u6216\u673a\u5668\u4eba\u63a7\u5236\uff0c\u800c\u662f\u6784\u5efa\u4e86\u4e00\u4e2a\u7edf\u4e00\u7684\u6846\u67b6\uff0c\u80fd\u591f\u540c\u65f6\u5904\u7406\u7269\u7406\u89c4\u5f8b\u3001\u673a\u5668\u4eba\u52a8\u4f5c\u3001\u89c6\u89c9\u6e32\u67d3\u548c\u4eba\u673a\u4ea4\u4e92\u7b49\u591a\u4e2a\u7ef4\u5ea6\u3002\u8fd9\u79cd\u6574\u4f53\u6027\u7684\u65b9\u6cd5\u4f7f\u5f97\u5b83\u80fd\u591f\u66f4\u771f\u5b9e\u5730\u6a21\u62df\u590d\u6742\u7684\u7269\u7406\u4e16\u754c\uff0c\u4e3a\u673a\u5668\u4eba\u7814\u7a76\u3001AI\u5e94\u7528\u548c\u8bad\u7ec3\u63d0\u4f9b\u66f4\u53ef\u9760\u7684\u4eff\u771f\u73af\u5883\u3002<\/span><\/span><\/p>\n

    <\/section>\n

    \u63d0\u793a\uff1a A mobile franka arm heats the corn with the bowl and the microwave | \u6765\u6e90\uff1aGenesis: A Generative and Universal Physics Engine for Robotics and Beyond<\/span><\/span><\/em><\/p>\n

    Genesis\u7684\u6280\u672f\u521b\u65b0\u4f53\u73b0\u5728\u591a\u4e2a\u65b9\u9762\u3002\u5176\u5177\u6709\u8d85\u9ad8\u6548\u7684\u7269\u7406\u6a21\u62df\u6027\u80fd\uff0c\u6a21\u62df\u901f\u5ea6\u6bd4\u73b0\u5b9e\u4e16\u754c\u5feb\u7ea643\u4e07\u500d\uff0c\u5927\u5e45\u9886\u5148\u73b0\u6709\u89e3\u51b3\u65b9\u6848\uff1b\u5177\u5907\u7cbe\u786e\u7684\u7269\u7406\u6a21\u578b\uff0c\u652f\u6301\u4ece\u521a\u4f53\u5230\u8f6f\u4f53\uff0c\u4ece\u5355\u4e00\u7269\u4f53\u5230\u590d\u6742\u4ea4\u4e92\u7684\u5168\u65b9\u4f4d\u7269\u7406\u6a21\u62df\uff1b\u6b64\u5916\u7cfb\u7edf\u91c7\u7528\u751f\u6210\u5f0f\u67b6\u6784\uff0c\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u5c31\u80fd\u751f\u6210\u590d\u6742\u7684\u7269\u7406\u573a\u666f\u548c\u4ea4\u4e92\u884c\u4e3a\u3002<\/span><\/span><\/p>\n

    Genesis\u5728\u673a\u5668\u4eba\u7814\u7a76\u9886\u57df\u5c55\u73b0\u51fa\u72ec\u7279\u4f18\u52bf\uff0c\u4e0d\u4ec5\u5177\u5907\u8986\u76d6\u4ece\u4eba\u5f62\u673a\u5668\u4eba\u5230\u8f6f\u4f53\u673a\u5668\u4eba\u7684\u5168\u7c7b\u578b\u6a21\u62df\u80fd\u529b\uff0c\u66f4\u5728\u5355\u5757RTX4090\u663e\u5361\u4e0a\u5b9e\u73b0\u4e8626\u79d2\u5b8c\u6210\u53ef\u8fc1\u79fb\u81f3\u771f\u5b9e\u4e16\u754c\u7684\u52a8\u4f5c\u7b56\u7565\u8bad\u7ec3\uff0c\u5176\u6548\u7387\u7a81\u7834\u5c06\u663e\u8457\u52a0\u901f\u673a\u5668\u4eba\u7814\u53d1\u8fdb\u7a0b\u3002<\/span><\/span><\/p>\n

    \u968f\u7740\u672a\u6765Genesis\u7684\u5f00\u6e90\uff0c\u53ef\u80fd\u4f1a\u6301\u7eed\u5728\u591a\u4e2a\u9886\u57df\u5f15\u53d1\u8fde\u9501\u53cd\u5e94\uff1a\u4e3a\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u63d0\u4f9b\u66f4\u771f\u5b9e\u7684\u7269\u7406\u6a21\u62df\uff0c\u5728\u673a\u5668\u4eba\u7814\u7a76\u4e2d\u52a0\u901f\u7b97\u6cd5\u9a8c\u8bc1\u548c\u7b56\u7565\u4f18\u5316\uff0c\u5728\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u4e2d\u63a8\u8fdb\u5177\u8eab\u667a\u80fd\u7684\u53d1\u5c55\u3002Genesis\u4e0d\u4ec5\u662f\u4e00\u4e2a\u6280\u672f\u5de5\u5177\uff0c\u4e5f\u4ee3\u8868\u4e86\u4e00\u79cd\u65b0\u7684\u4eff\u771f\u7814\u7a76\u8303\u5f0f\uff0c\u5c06\u4e3a\u5b9e\u73b0\u66f4\u667a\u80fd\u3001\u66f4\u81ea\u7136\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u548c\u63a2\u7d22\u4e16\u754c\u7684\u590d\u6742\u7cfb\u7edf\u89c4\u5f8b\u6301\u7eed\u8d21\u732e\u529b\u91cf\u3002<\/span><\/span><\/p>\n


    <\/span><\/h2>\n

    \n
    \n
    \n
    \n
    \n

    <\/span><\/section>\n

    <\/span><\/section>\n
    \n
    <\/section>\n<\/section>\n<\/section>\n
    \n

    \u6311\u6218\u4e0e\u5c55\u671b<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

    \n

    <\/span><\/section>\n

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


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

    \u5c3d\u7ba1\u57fa\u4e8eAI\u7684\u79d1\u5b66\u4eff\u771f\u6280\u672f\u5728\u8fd1\u5e74\u6765\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\uff0c\u4f46\u4ecd\u9762\u4e34\u7740\u4e00\u4e9b\u91cd\u8981\u6311\u6218\u3002<\/span><\/span><\/p>\n

    \u591a\u5c3a\u5ea6\u4e0e\u591a\u7269\u7406\u573a\u8026\u5408\u7684\u5efa\u6a21<\/span><\/span><\/strong>\u4f9d\u7136\u662f\u96be\u9898\u3002\u4ee5\u6838\u805a\u53d8\u7b49\u79bb\u5b50\u4f53\u4e3a\u4f8b\uff0c\u4ece\u7c92\u5b50\u7684\u91cf\u5b50\u6548\u5e94\u5230\u5b8f\u89c2\u7684\u6d41\u4f53\u52a8\u529b\u5b66\u884c\u4e3a\uff0c\u8de8\u8d8a\u4e86\u6570\u5341\u4e2a\u6570\u91cf\u7ea7\u7684\u65f6\u7a7a\u5c3a\u5ea6\u3002\u73b0\u6709\u7684\u4eff\u771f\u65b9\u6cd5\u96be\u4ee5\u5728\u4fdd\u6301\u8ba1\u7b97\u6548\u7387\u7684\u540c\u65f6\u5b9e\u73b0\u5982\u6b64\u5927\u8de8\u5ea6\u7684\u7cbe\u786e\u63cf\u8ff0\u3002\u540c\u6837\uff0c\u5728\u5168\u7403\u5929\u6c14\u9884\u62a5\u4e2d\uff0c\u5927\u6c14\u3001\u6d77\u6d0b\u3001\u9646\u5730\u7b49\u7cfb\u7edf\u4e4b\u95f4\u590d\u6742\u7684\u76f8\u4e92\u4f5c\u7528\u4e5f\u7ed9\u5efa\u6a21\u5e26\u6765\u4e86\u5de8\u5927\u6311\u6218\u3002<\/span><\/span><\/p>\n

    \u4eff\u771f\u7cfb\u7edf\u7684\u53ef\u89e3\u91ca\u6027\u95ee\u9898<\/span><\/span><\/strong>\u4f9d\u7136\u9700\u8981\u63a2\u7d22\u3002\u867d\u7136\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u65b9\u6cd5\u663e\u8457\u63d0\u5347\u4e86\u9884\u6d4b\u7cbe\u5ea6\uff0c\u4f46\u5176\u5185\u90e8\u673a\u5236\u5f80\u5f80\u96be\u4ee5\u7406\u89e3\uff0c\u8fd9\u9650\u5236\u4e86\u79d1\u7814\u4eba\u5458\u5bf9\u7cfb\u7edf\u672c\u8d28\u89c4\u5f8b\u7684\u8ba4\u77e5\u3002\u5c3d\u7ba1\u6709CausalCity\u7b49\u9879\u76ee\u5c1d\u8bd5\u5f15\u5165\u56e0\u679c\u63a8\u7406\u6846\u67b6\uff0c\u4f46\u8981\u5728\u590d\u6742\u7cfb\u7edf\u4e2d\u5efa\u7acb\u53ef\u9760\u7684\u56e0\u679c\u5173\u7cfb\u56fe\u8c31\u4ecd\u6709\u5f88\u957f\u7684\u8def\u8981\u8d70\u3002\u5982\u4f55\u5728\u4fdd\u6301\u9ad8\u7cbe\u5ea6\u9884\u6d4b\u7684\u540c\u65f6\u63d0\u5347\u6a21\u578b\u7684\u53ef\u89e3\u91ca\u6027\uff0c\u6210\u4e3a\u4e86\u5f53\u524d\u7814\u7a76\u7684\u91cd\u8981\u65b9\u5411\u3002<\/span><\/span><\/p>\n

    \u6b64\u5916\uff0c<\/span><\/span>\u4eff\u771f\u7cfb\u7edf\u4e0e\u771f\u5b9e\u4e16\u754c\u7684\u5bf9\u9f50<\/span><\/span><\/strong>\u540c\u6837\u5177\u6709\u6311\u6218\u6027\u3002\u867d\u7136BAAIWorm\u7b49\u9879\u76ee\u5c55\u73b0\u4e86\u5728\u7279\u5b9a\u9886\u57df\u5b9e\u73b0\u9ad8\u4fdd\u771f\u4eff\u771f\u7684\u53ef\u80fd\uff0c\u4f46\u8981\u5c06\u8fd9\u79cd\u6210\u529f\u63a8\u5e7f\u5230\u66f4\u590d\u6742\u7684\u751f\u547d\u7cfb\u7edf\u548c\u5de5\u7a0b\u5e94\u7528\u4e2d\u4ecd\u9762\u4e34\u8bf8\u591a\u56f0\u96be\u3002\u5982\u4f55\u786e\u4fdd\u4eff\u771f\u7ed3\u679c\u80fd\u591f\u51c6\u786e\u53cd\u6620\u73b0\u5b9e\u4e16\u754c\u7684\u7269\u7406\u89c4\u5f8b\uff0c\u5e76\u4e0e\u5b9e\u9a8c\u6570\u636e\u4fdd\u6301\u4e00\u81f4\uff0c\u4ecd\u9700\u8981\u66f4\u6df1\u5165\u7684\u7814\u7a76\u3002<\/span><\/span><\/p>\n

    \u8981\u89e3\u51b3\u4ee5\u4e0a\u95ee\u9898\uff0c\u9664\u4e86\u63d0\u5347\u8ba1\u7b97\u80fd\u529b\u548c\u9769\u65b0\u7b97\u6cd5\uff0c\u8fd8\u9700\u8981\u7ed3\u5408\u5404\u79cd\u65b9\u6cd5\u521b\u9020\u65b0\u7684\u5e73\u53f0\u8bbe\u8ba1\u65b9\u6848\u3002\u4e00\u4e2a\u53ef\u80fd\u7684\u53d1\u5c55\u65b9\u5411\u662f\u5c06\u7269\u7406\u89c4\u5f8b\u3001\u6570\u636e\u9a71\u52a8\u548c\u56e0\u679c\u63a8\u7406\u7b49\u65b9\u6cd5\u8fdb\u884c\u6709\u673a\u7ed3\u5408\uff0c\u53d1\u5c55\u65b0\u4e00\u4ee3\u6df7\u5408\u5efa\u6a21\u65b9\u6cd5\u3002Genesis\u9879\u76ee\u5df2\u7ecf\u5c55\u793a\u4e86\u8fd9\u79cd\u878d\u5408\u7684\u6f5c\u529b\u3002\u540c\u65f6\uff0c\u672a\u6765\u7684\u4eff\u771f\u7cfb\u7edf\u53ef\u80fd\u4f1a\u66f4\u52a0\u667a\u80fd\u548c\u81ea\u4e3b\u5316\uff0c\u901a\u8fc7\u4e3b\u52a8\u5b66\u4e60\u548c\u8fed\u4ee3\u4f18\u5316\uff0c\u7cfb\u7edf\u80fd\u591f\u81ea\u4e3b\u8bbe\u8ba1\u548c\u6267\u884c\u865a\u62df\u5b9e\u9a8c\uff0c\u63d0\u5347\u6a21\u578b\u7cbe\u5ea6\u548c\u6cdb\u5316\u80fd\u529b\uff0c\u9a8c\u8bc1\u79d1\u5b66\u5047\u8bbe\uff0c\u751a\u81f3\u53d1\u73b0\u65b0\u7684\u7269\u7406\u89c4\u5f8b[19]\u3002\u968f\u7740\u8fd9\u4e9b\u6280\u672f\u7684\u4e0d\u65ad\u6210\u719f\uff0c\u6211\u4eec\u6709\u671b\u770b\u5230\u652f\u6301\u591a\u5b66\u79d1\u3001\u591a\u5c3a\u5ea6\u7684\u7edf\u4e00\u4eff\u771f\u6846\u67b6\u9010\u6b65\u5efa\u7acb\uff0c\u8fd9\u5c06\u4e3a\u89e3\u51b3\u751f\u547d\u79d1\u5b66\u3001\u80fd\u6e90\u3001\u6c14\u5019\u7b49\u91cd\u5927\u79d1\u5b66\u95ee\u9898\uff0c\u7814\u7a76\u590d\u6742\u7cfb\u7edf\u672c\u8d28\u89c4\u5f8b\u5f00\u8f9f\u7684\u65b0\u9014\u5f84\u548c\u63d0\u4f9b\u5173\u952e\u652f\u6491\u3002<\/span><\/span><\/p>\n

    \u53c2\u8003\u6587\u732e<\/span><\/span><\/h2>\n

    [1] Cornelio\uff0c Cristina\uff0c et al. “Combining Data and Theory for Derivable Scientific Discovery with AI-Descartes.” Nature Communications\uff0c vol. 14\uff0c no. 1\uff0c 2023\uff0c pp. 1777.<\/span><\/span><\/p>\n

    https:\/\/www.nature.com\/articles\/s41467-023-37543-4<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u8bba\u6587\u63d0\u51fa\u4e86\u4e00\u4e2a\u5c06\u6570\u636e\u9a71\u52a8\u548c\u7406\u8bba\u9a71\u52a8\u76f8\u7ed3\u5408\u7684\u79d1\u5b66\u53d1\u73b0\u6846\u67b6\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [2] Sch\u00f6lkopf\uff0c Bernhard\uff0c et al. “Toward Causal Representation Learning.” Proceedings of the IEEE\uff0c vol. 109\uff0c 2021\uff0c pp. 612-634.<\/span><\/span><\/p>\n

    https:\/\/ieeexplore.ieee.org\/document\/9363924<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u8bba\u6587\u7cfb\u7edf\u6027\u5730\u63a2\u8ba8\u4e86\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u56e0\u679c\u8868\u793a\u95ee\u9898\uff0c\u4e3a\u56e0\u679c\u63a8\u7406\u4e0e\u673a\u5668\u5b66\u4e60\u7684\u7ed3\u5408\u63d0\u4f9b\u4e86\u7406\u8bba\u57fa\u7840\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [3]Lavin\uff0c Alexander\uff0c et al. “Simulation Intelligence: Towards a New Generation of Scientific Methods.” arXiv preprint arXiv:2112.03235\uff0c 2021.<\/span><\/span><\/p>\n

    https:\/\/arxiv.org\/abs\/2112.03235<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u8bba\u6587\u63d0\u51fa\u4e86\u65b0\u4e00\u4ee3\u79d1\u5b66\u4eff\u771f\u65b9\u6cd5\u7684\u613f\u666f\uff0c\u7cfb\u7edf\u6027\u5730\u603b\u7ed3\u4e86AI\u4eff\u771f\u5668\u548c\u6570\u5b57\u5b6a\u751f\u7684\u5173\u952e\u6280\u672f\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [4] McDuff\uff0c Daniel\uff0c et al. “CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning.” Proceedings of the First Conference on Causal Learning and Reasoning\uff0c PMLR 177\uff0c 2022\uff0c pp. 559-575.<\/span><\/span><\/p>\n

    https:\/\/proceedings.mlr.press\/v177\/mcduff22a.html<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u5de5\u4f5c\u63d0\u51fa\u4e86\u4e00\u4e2a\u652f\u6301\u56e0\u679c\u53d1\u73b0\u4e0e\u63a8\u7406\u7684\u590d\u6742\u4eff\u771f\u73af\u5883\uff0c\u4e3a\u56e0\u679c\u5b66\u4e60\u7814\u7a76\u63d0\u4f9b\u4e86\u91cd\u8981\u5e73\u53f0\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [5] Yuntian Chen et al. “From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning.” arXiv preprint, 2024<\/span>.<\/span><\/span>https:\/\/arxiv.org\/abs\/2410.13228<\/span><\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u8bba\u6587\u5168\u9762\u56de\u987e\u4e86\u7269\u7406\u4fe1\u606f\u795e\u7ecf\u7f51\u7edc(PINNs)\u7684\u6700\u65b0\u8fdb\u5c55\uff0c\u91cd\u70b9\u5173\u6ce8\u7f51\u7edc\u8bbe\u8ba1\u548c\u7279\u5f81\u6269\u5c55\u7684\u6539\u8fdb\uff0c\u5c55\u793a\u4e86\u7269\u7406\u4fe1\u606f\u673a\u5668\u5b66\u4e60\u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\u7684\u53d1\u5c55\u8d8b\u52bf\u548c\u5e94\u7528\u4ef7\u503c\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [6] Sergii Mykhailovskyi, Dmytro Malynovskyi. “Model informed approach to estimate treatment effect in placebo-controlled clinical trials using an artificial intelligence based propensity weighting.” Ukrainian Journal of Medicine, Biology and Sport, 2023.<\/span><\/span>https:\/\/ouci.dntb.gov.ua\/en\/works\/7qXkGYw9\/<\/span><\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u4eba\u5de5\u667a\u80fd\u7684\u503e\u5411\u6027\u52a0\u6743\u65b9\u6cd5\u6765\u8bc4\u4f30\u5b89\u6170\u5242\u5bf9\u7167\u4e34\u5e8a\u8bd5\u9a8c\u4e2d\u7684\u6cbb\u7597\u6548\u679c\uff0c\u4e3a\u533b\u5b66\u4e34\u5e8a\u7814\u7a76\u63d0\u4f9b\u4e86\u66f4\u51c6\u786e\u7684\u6548\u679c\u8bc4\u4f30\u5de5\u5177\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [7] Niyazi Sergin, Rui Duarte et al. “An architectural analysis of DeepOnet and a general framework.” Neurocomputing, 2024.<\/span><\/span>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0925231224014462<\/span><\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8bba\u6587\u5206\u6790\u4e86DeepOnet\u6a21\u578b\u7684\u795e\u7ecf\u7f51\u7edc\u8bbe\u8ba1\uff0c\u7279\u522b\u63a2\u8ba8\u4e86\u5176\u4e3b\u5e72-\u5206\u652f\u7ed3\u6784\u5728\u7b97\u5b50\u5b66\u4e60\u4efb\u52a1\u4e2d\u7684\u6709\u6548\u6027\uff0c\u4e3a\u6df1\u5ea6\u7b97\u5b50\u7f51\u7edc\u7684\u8bbe\u8ba1\u63d0\u4f9b\u4e86\u7406\u8bba\u57fa\u7840\u548c\u6539\u8fdb\u65b9\u5411\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [8] Qianxiao Li et al. “DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains.” arXiv preprint, 2024.<\/span><\/span>https:\/\/arxiv.org\/abs\/2402.07250<\/span><\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u4e2a\u79f0\u4e3aDIMON\u7684\u901a\u7528\u7b97\u5b50\u5b66\u4e60\u6846\u67b6\uff0c\u7528\u4e8e\u5728\u4e0d\u540c\u5f62\u6001\u57df\u4e0a\u5b66\u4e60\u504f\u5fae\u5206\u65b9\u7a0b\u7684\u8fd1\u4f3c\u89e3\uff0c\u4e3a\u590d\u6742\u51e0\u4f55\u5f62\u72b6\u4e0a\u7684PDE\u6c42\u89e3\u63d0\u4f9b\u4e86\u521b\u65b0\u65b9\u6cd5\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [9] Le Song, Eran Segal, Eric Xing. “Toward AI-Driven Digital Organism: A System of Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels.” <\/span><\/span>arXiv preprint arXiv:2412.06993v1<\/span><\/span><\/em>, 2024.<\/span><\/span><\/p>\n

    https:\/\/arxiv.org\/abs\/2412.06993<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u8bba\u6587\u63d0\u51fa\u4e86\u6574\u5408\u5206\u5b50\u81f3\u4e2a\u4f53\u6c34\u5e73\u7684\u591a\u5c3a\u5ea6\u751f\u7269\u5efa\u6a21\u6846\u67b6\uff0c\u901a\u8fc7\u6a21\u5757\u5316\u57fa\u7840\u6a21\u578b\u7cfb\u7edf\u5b9e\u73b0\u4e86\u8de8\u5c42\u7ea7\u751f\u7269\u73b0\u8c61\u7684\u9884\u6d4b\u4e0e\u7f16\u7a0b\uff0c\u4e3a\u5408\u6210\u751f\u7269\u5b66\u548c\u7cbe\u51c6\u533b\u5b66\u63d0\u4f9b\u4e86\u901a\u7528\u8ba1\u7b97\u8303\u5f0f\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [10] Jiayou Zhang et al. “Balancing locality and reconstruction in protein structure tokenizer.” <\/span><\/span>NeurIPS Workshop<\/span><\/span><\/em>, 2024.<\/span><\/span><\/p>\n

    https:\/\/www.biorxiv.org\/content\/10.1101\/2024.12.02.626366v2.abstract<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u7814\u7a76\u5f00\u53d1\u4e86\u4e00\u79cd\u57fa\u4e8e\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\u7684\u86cb\u767d\u8d28\u7ed3\u6784\u5206\u8bcd\u5668\uff0c\u901a\u8fc7\u5e73\u8861\u5c40\u90e8\u7279\u5f81\u4fdd\u7559\u4e0e\u5168\u5c40\u7ed3\u6784\u91cd\u5efa\uff0c\u663e\u8457\u63d0\u5347\u4e86\u4e09\u7ef4\u5206\u5b50\u8868\u5f81\u5728\u9006\u6298\u53e0\u548c\u529f\u80fd\u9884\u6d4b\u4efb\u52a1\u4e2d\u7684\u6027\u80fd\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [11] Ning Sun et al. “Mixture of experts enable efficient protein understanding and design.” <\/span><\/span>NeurIPS Workshop<\/span><\/span><\/em>, 2024.<\/span><\/span><\/p>\n

    https:\/\/www.biorxiv.org\/content\/10.1101\/2024.11.29.625425v1.abstract<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u8bba\u6587\u63d0\u51fa\u4e13\u5bb6\u6df7\u5408\u67b6\u6784\u7684\u86cb\u767d\u8d28\u8bed\u8a00\u6a21\u578b\uff0c\u901a\u8fc7\u52a8\u6001\u8def\u7531\u673a\u5236\u5b9e\u73b0\u5e8f\u5217-\u7ed3\u6784\u8054\u5408\u5efa\u6a21\uff0c\u5728\u4fdd\u8bc1\u8ba1\u7b97\u6548\u7387\u7684\u540c\u65f6\u5c06\u86cb\u767d\u8d28\u751f\u6210\u591a\u6837\u6027\u63d0\u53472.7\u500d\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [12] Levine, Zachary, et al. “Genetic underpinnings of predicted changes in cardiovascular function using self supervised learning.” <\/span><\/span>bioRxiv<\/span><\/span><\/em> (2024): 2024-08.<\/span><\/span><\/p>\n

    https:\/\/www.biorxiv.org\/content\/10.1101\/2024.08.15.608061.abstract<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u5de5\u4f5c\u5229\u7528\u81ea\u76d1\u7763\u5bf9\u6bd4\u5b66\u4e60\u89e3\u6790\u8fde\u7eed\u751f\u7406\u4fe1\u53f7\uff08\u5982\u5fc3\u7535\u56fe\uff09\u7684\u52a8\u6001\u7279\u5f81\uff0c\u9996\u6b21\u5efa\u7acb\u4e86\u5fc3\u8840\u7ba1\u8868\u578b\u4e0ePBMC\u8f6c\u5f55\u7ec4\u6570\u636e\u7684\u8de8\u5c3a\u5ea6\u5173\u8054\u7f51\u7edc\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [13] Caleb N. Ellington et al. “Accurate DNA representations emerge from genome foundation models.” <\/span><\/span>NeurIPS Workshop<\/span><\/span><\/em>, 2024.<\/span><\/span><\/p>\n

    https:\/\/www.biorxiv.org\/content\/10.1101\/2024.12.01.625444.abstract<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u7814\u7a76\u6784\u5efa\u4e86\u5343\u4ebf\u53c2\u6570\u89c4\u6a21\u7684\u57fa\u56e0\u7ec4\u57fa\u7840\u6a21\u578b\uff0c\u901a\u8fc7\u6df7\u5408\u6ce8\u610f\u529b\u673a\u5236\u6709\u6548\u6355\u6349\u957f\u7a0b\u5e8f\u5217\u4f9d\u8d56\uff0c\u5728\u8c03\u63a7\u5143\u4ef6\u9884\u6d4b\u4efb\u52a1\u4e2d\u8fbe\u523098.3%\u7684\u51c6\u786e\u7387\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [14] Benjamin Lengerich et al. “Contextualized Machine Learning.” <\/span><\/span>arXiv:2310.11340<\/span><\/span><\/em>, 2023.<\/span><\/span><\/p>\n

    https:\/\/arxiv.org\/abs\/2310.11340<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u8be5\u7406\u8bba\u6846\u67b6\u7cfb\u7edf\u9610\u8ff0\u4e86\u4e0a\u4e0b\u6587\u611f\u77e5\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\uff0c\u4e3a\u591a\u6a21\u6001\u751f\u7269\u6570\u636e\u5efa\u6a21\u63d0\u4f9b\u4e86\u53ef\u89e3\u91ca\u7684\u56e0\u679c\u63a8\u7406\u673a\u5236\uff0c\u663e\u8457\u63d0\u5347\u4e86\u6a21\u578b\u5728\u590d\u6742\u751f\u7269\u7cfb\u7edf\u4e2d\u7684\u5e94\u7528\u53ef\u9760\u6027\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [15] Zhao, Mengdi, et al. “An integrative data-driven model simulating C. elegans brain, body and environment interactions.” <\/span><\/span>Nature Computational Science<\/span><\/span><\/em> 4.12 (2024): 978-990.<\/span><\/span><\/p>\n

    https:\/\/www.nature.com\/articles\/s43588-024-00738-w<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u9996\u6b21\u6784\u5efa\u4e86\u7ebf\u866b\u5b8c\u6574\u7684\u8111-\u8eab\u4f53-\u73af\u5883\u4ea4\u4e92\u6a21\u62df\u7cfb\u7edf\u3002\u901a\u8fc7\u6574\u5408\u795e\u7ecf\u3001\u808c\u8089\u548c\u7269\u7406\u6570\u636e\uff0c\u5b9e\u73b0\u4e86\u7cbe\u786e\u7684\u884c\u4e3a\u9884\u6d4b\u3002\u4e3a\u7406\u89e3\u751f\u7269\u795e\u7ecf\u7cfb\u7edf\u63a7\u5236\u884c\u4e3a\u63d0\u4f9b\u4e86\u65b0\u65b9\u6cd5\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [16] Sarma, Gopal P., et al. “OpenWorm: overview and recent advances in integrative biological simulation of Caenorhabditis elegans.” <\/span><\/span>Philosophical Transactions of the Royal Society B<\/span><\/span><\/em> 373.1758 (2018): 20170382.<\/span><\/span><\/p>\n

    https:\/\/royalsocietypublishing.org\/doi\/full\/10.1098\/rstb.2017.0382<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u4ecb\u7ecd\u4e86OpenWorm\u9879\u76ee\u7684\u8fdb\u5c55\uff0c\u8fd9\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u7ebf\u866b\u6574\u4f53\u4eff\u771f\u5e73\u53f0\u3002\u6574\u5408\u4e86\u591a\u5c42\u6b21\u7684\u751f\u7269\u5b66\u6570\u636e\u3002\u4e3a\u7cfb\u7edf\u751f\u7269\u5b66\u7814\u7a76\u63d0\u4f9b\u4e86\u91cd\u8981\u5de5\u5177\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [17] Cook, Steven J., et al. “Whole-animal connectomes of both Caenorhabditis elegans sexes.” <\/span><\/span>Nature<\/span><\/span><\/em> 571.7763 (2019): 63-71.<\/span><\/span><\/p>\n

    https:\/\/www.nature.com\/articles\/s41586-019-1352-7<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u9996\u6b21\u5b8c\u6574\u7ed8\u5236\u4e86\u96cc\u96c4\u4e24\u79cd\u7ebf\u866b\u7684\u5168\u8eab\u795e\u7ecf\u8fde\u63a5\u7ec4\u3002\u63ed\u793a\u4e86\u6027\u522b\u7279\u5f02\u6027\u7684\u795e\u7ecf\u73af\u8def\u5dee\u5f02\u3002\u4e3a\u7406\u89e3\u795e\u7ecf\u7cfb\u7edf\u7684\u6027\u522b\u5dee\u5f02\u63d0\u4f9b\u4e86\u91cd\u8981\u53c2\u8003\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [18] Bouaziz, Sofien, et al. “Projective dynamics: Fusing constraint projections for fast simulation.” <\/span><\/span>Seminal Graphics Papers: Pushing the Boundaries, Volume 2<\/span><\/span><\/em>. 2023. 787-797.<\/span><\/span><\/p>\n

    https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3596711.3596794<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u7269\u7406\u6a21\u62df\u7b97\u6cd5\u6295\u5f71\u52a8\u529b\u5b66\u3002\u901a\u8fc7\u878d\u5408\u7ea6\u675f\u6295\u5f71\u5b9e\u73b0\u5feb\u901f\u4eff\u771f\u3002\u5728\u8ba1\u7b97\u6548\u7387\u548c\u7a33\u5b9a\u6027\u65b9\u9762\u53d6\u5f97\u91cd\u8981\u7a81\u7834\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [19] Wen, Quan, et al. “Proprioceptive coupling within motor neurons drives C. elegans forward locomotion.” <\/span><\/span>neuron<\/span><\/span><\/em> 76.4 (2012): 750-761.<\/span><\/span><\/p>\n

    https:\/\/www.cell.com\/neuron\/fulltext\/S0896-6273(12)00805-7<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1a\u53d1\u73b0\u4e86\u7ebf\u866b\u8fd0\u52a8\u795e\u7ecf\u5143\u5185\u7684\u672c\u4f53\u611f\u53d7\u8026\u5408\u673a\u5236\u3002\u9610\u660e\u4e86\u524d\u5411\u8fd0\u52a8\u7684\u795e\u7ecf\u63a7\u5236\u539f\u7406\u3002\u4e3a\u7406\u89e3\u52a8\u7269\u8fd0\u52a8\u63a7\u5236\u63d0\u4f9b\u4e86\u65b0\u89c1\u89e3\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [20] Xian Z\uff0c Qiao Y\uff0c Xu Z\uff0c Wang TH\uff0c Chen Z\uff0c Zheng J\uff0c Xiong Z\uff0c Wang Y\uff0c Zhang M\uff0c Ma P\uff0c Wang Y\uff0c Dou Z\uff0c et al. Genesis: A Generative and Universal Physics Engine for Robotics and Beyond. arXiv preprint. 2024.<\/span><\/span><\/p>\n

    https:\/\/genesis-embodied-ai.github.io\/<\/span><\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531\uff1aGenesis\u662f\u4e00\u4e2a\u7a81\u7834\u6027\u7684\u751f\u6210\u5f0f\u7269\u7406\u5f15\u64ce\uff0c\u7531CMU\u3001\u6e05\u534e\u7b4920\u591a\u5bb6\u673a\u6784\u8054\u5408\u5f00\u53d1\u3002\u5b83\u5b9e\u73b0\u4e86\u8d85\u9ad8\u6548\u7684\u7269\u7406\u6a21\u62df\u3001\u7cbe\u786e\u7684\u7269\u7406\u5efa\u6a21\u548c\u751f\u6210\u5f0f\u67b6\u6784\uff0c\u4e3a\u673a\u5668\u4eba\u7814\u7a76\u548c\u5177\u8eab\u667a\u80fd\u53d1\u5c55\u5f00\u521b\u65b0\u8303\u5f0f\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    <\/span><\/section>\n

    <\/span><\/section>\n
    \n

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    \u9e23\u8c22<\/span><\/span><\/strong>\uff08\u6309\u59d3\u6c0f\u62fc\u97f3\u987a\u5e8f\uff0c\u6392\u540d\u4e0d\u5206\u5148\u540e\uff09\uff1a<\/span><\/span><\/p>\n

    \u66f9\u98ce\u96f7 \u3001\u9648\u5c0f\u6768 \u3001\u7a0b\u8fdc\u3001\u675c\u6c85\u5c82 \u3001\u6bb5\u90c1\u3001\u65b9\u69af\u6977 \u3001\u4ed8\u5f66\u4f1f\u3001 \u9ad8\u60a6\u3001\u9ec4\u67ef\u946b\u3001\u674e\u660a\u3001\u5218\u5723\u8d85\u3001\u8c2d\u4f1f\u654f\u3001\u5434\u6cf0\u9716\u3001\u5434\u8273\u73b2\u3001\u5411\u7ea2\u519b\u3001\u5f20\u9aa5\u3001\u5f20\u8273\u3001\u6731\u601d\u8bed<\/span><\/span><\/p>\n<\/blockquote>\n


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


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

    <\/section>\n


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

    \n
    \n
    \n
    \n

    AI+Science \u8bfb\u4e66\u4f1a<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    \n


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

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    <\/span><\/section>\n

    <\/span><\/section>\n
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    <\/strong><\/section>\n
    1. \u300aAI X Science\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u300b\u53d1\u5e03\uff1a35\u4e2a\u7814\u7a76\u524d\u6cbf\uff0c\u5f00\u542f\u79d1\u5b66\u53d1\u73b0\u7684\u9ec4\u91d1\u65f6\u4ee3<\/span><\/a><\/span><\/strong>
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    <\/strong>7. <\/span><\/strong>\u63a2\u7d22\u8005\u8ba1\u5212 | \u96c6\u667a\u4ff1\u4e50\u90e82025\u5185\u5bb9\u56e2\u961f\u62db\u52df\uff08\u5168\u804c&\u517c\u804c\uff09<\/a><\/span><\/strong><\/span><\/section>\n

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