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\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u300c\u98a0\u8986\u6027\u300d\u79d1\u5b66\u6ca1\u6709\u8870\u843d\uff0c\u8c37\u6b4c AI \u63a8\u52a8\u79d1\u5b66\u53d1\u5c55\u7684 9 \u79cd\u65b9\u5f0f<\/a><\/p>\n

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\u8c37\u6b4c\u59cb\u7ec8\u8d70\u5728 AI for Science \u7684\u6700\u524d\u6cbf\uff0c\u4ece\u86cb\u767d\u7ed3\u6784\u9884\u6d4b AI \u5de5\u5177 AlphaFold \u5230\u6750\u6599\u53d1\u73b0\u7cfb\u7edf\u00a0GNoME\uff0c\u4ece\u5929\u6c14\u9884\u62a5\u7cfb\u7edf NeuralGCM\u3001GraphCast \u5230\u6570\u5b66\u51e0\u4f55\u63a8\u7406\u6a21\u578b AlphaGeometry……<\/p>\n

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2021 \u5e74\uff0c\u8c37\u6b4c DeepMind \u4e0e\u6b27\u6d32\u751f\u7269\u4fe1\u606f\u7814\u7a76\u6240\uff08EMBL-EBI\uff09\u5408\u4f5c\u53d1\u5e03\u4e86 AlphaFold DB\uff0c\u5229\u7528 AlphaFold \u9884\u6d4b\u786e\u5b9a 98.5% \u6240\u6709\u4eba\u7c7b\u86cb\u767d\u7ed3\u6784<\/a>\uff0c\u76f8\u5173\u7814\u7a76\u767b\u4e0a\u300aNature<\/em>\u300b\u3002<\/p>\n

2022 \u5e74\uff0c\u8c37\u6b4c DeepMind \u5206\u4eab\u4e86\u5176\u00a0AlphaFold 2\u00a0\u6a21\u578b\u4e2d 2 \u4ebf\u79cd\u86cb\u767d\u8d28\u7684\u9884\u6d4b\u7ed3\u6784\u3002\u4ee5\u524d\uff0c\u786e\u5b9a\u5355\u4e2a\u86cb\u767d\u8d28\u7684 3D \u7ed3\u6784\u901a\u5e38\u9700\u8981\u4e00\u5e74\u6216\u66f4\u957f\u65f6\u95f4\uff0cAlphaFold \u53ef\u4ee5\u5728\u51e0\u5206\u949f\u5185\u4ee5\u60ca\u4eba\u7684\u51c6\u786e\u5ea6\u9884\u6d4b\u8fd9\u4e9b\u5f62\u72b6\u3002\u901a\u8fc7\u5728\u514d\u8d39\u6570\u636e\u5e93\u4e2d\u53d1\u5e03\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b\uff0c\u8fd9\u4f7f\u5f97\u4e16\u754c\u5404\u5730\u7684\u79d1\u5b66\u5bb6\u80fd\u591f\u52a0\u901f\u5f00\u53d1\u65b0\u836f\u3001\u5bf9\u6297\u6297\u751f\u7d20\u8010\u836f\u6027\u548c\u89e3\u51b3\u5851\u6599\u6c61\u67d3\u7b49\u9886\u57df\u7684\u8fdb\u5c55\u3002<\/p>\n

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02 \u4ee5\u524d\u6240\u672a\u6709\u7684\u7ec6\u8282\u5c55\u793a\u4eba\u7c7b\u5927\u8111\uff0c\u652f\u6301\u5065\u5eb7\u7814\u7a76<\/strong><\/p>\n

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\u6570\u636e\u96c6\u5f00\u6e90\u5730\u5740\uff1ahttps:\/\/h01-release.storage.googleapis.com\/landing.html<\/em><\/p>\n

03 \u51c6\u786e\u9884\u62a5\u6d2a\u6c34\uff0c\u633d\u6551\u751f\u547d<\/strong><\/p>\n

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<\/a><\/p>\n

\u4eca\u5e74 7 \u6708\uff0c\u8c37\u6b4c\u56e2\u961f\u63d0\u51fa\u4e00\u79cd\u5c06\u4f20\u7edf\u7684\u57fa\u4e8e\u7269\u7406\u5efa\u6a21\u4e0e ML \u76f8\u7ed3\u5408\u7684\u65b0\u65b9\u6cd5\u2014\u2014NeuralGCM<\/a>\uff0c\u53ef\u4ee5\u51c6\u786e\u9ad8\u6548\u5730\u6a21\u62df\u5730\u7403\u5927\u6c14\u5c42\u3002\u6bd4\u73b0\u6709\u6a21\u578b\u66f4\u5feb\u3001\u8ba1\u7b97\u6210\u672c\u66f4\u4f4e\u3001\u66f4\u51c6\u786e\u3002<\/p>\n

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04 \u5c3d\u65e9\u53d1\u73b0\u91ce\u706b\uff0c\u5e2e\u52a9\u6d88\u9632\u5458\u66f4\u5feb\u5730\u6251\u706d\u91ce\u706b<\/strong><\/p>\n

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2024 \u5e74\uff0c\u8c37\u6b4c\u7814\u7a76\u4e0e\u7f8e\u56fd\u6797\u4e1a\u5c40\u5408\u4f5c\u5f00\u53d1\u4e86 FireSat\uff0c\u8fd9\u662f\u4e00\u79cd\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u548c\u65b0\u7684\u5168\u7403\u536b\u661f\u661f\u5ea7\uff0c\u4e13\u95e8\u7528\u4e8e\u901a\u8fc7\u5728 20 \u5206\u949f\u5185\u63d0\u4f9b\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\u6765\u68c0\u6d4b\u548c\u8ffd\u8e2a\u6559\u5ba4\u5927\u5c0f\uff08\u5927\u7ea6 5×5 \u7c73\uff09\u7684\u91ce\u706b\u3002\u8fd9\u5c06\u4f7f\u6d88\u9632\u90e8\u95e8\u80fd\u591f\u66f4\u5feb\u5730\u505a\u51fa\u53cd\u5e94\uff0c\u4ece\u800c\u6709\u53ef\u80fd\u633d\u6551\u751f\u547d\u3001\u8d22\u4ea7\u548c\u81ea\u7136\u8d44\u6e90\u3002<\/p>\n

<\/a><\/p>\n

05 \u66f4\u5feb\u66f4\u51c6\u786e\u5730\u9884\u6d4b\u5929\u6c14<\/strong><\/p>\n

\u5929\u6c14\u5f71\u54cd\u7740\u6211\u4eec\u6240\u6709\u4eba\u3002\u5b83\u53ef\u4ee5\u51b3\u5b9a\u6211\u4eec\u65e9\u4e0a\u7684\u7a7f\u7740\uff0c\u4e3a\u6211\u4eec\u63d0\u4f9b\u7eff\u8272\u80fd\u6e90\uff0c\u5728\u6700\u574f\u7684\u60c5\u51b5\u4e0b\uff0c\u8fd8\u4f1a\u5f15\u53d1\u98ce\u66b4\u3002\u5728\u6781\u7aef\u5929\u6c14\u65e5\u76ca\u589e\u591a\u7684\u5f53\u4eca\uff0c\u5feb\u901f\u51c6\u786e\u7684\u9884\u62a5\u6781\u5176\u91cd\u8981\u3002<\/p>\n

2023 \u5e74 6 \u6708\uff0c\u8c37\u6b4c\u56e2\u961f\u5f00\u53d1\u4e86\u4e00\u4e2a\u540d\u4e3a MetNet-3 \u7684\u65b0\u5929\u6c14\u6a21\u578b<\/a>\u3002\u5b83\u5927\u5927\u6269\u5c55\u4e86\u57fa\u4e8e\u89c2\u5bdf\u7684\u795e\u7ecf\u6a21\u578b\u53ef\u4ee5\u9884\u6d4b\u7684\u524d\u7f6e\u65f6\u95f4\u8303\u56f4\u548c\u53d8\u91cf\u3002<\/p>\n

MetNet-3 \u4ee5\u65e9\u671f\u7684 MetNet \u548c MetNet-2 \u6a21\u578b\u4e3a\u57fa\u7840\uff0c\u53ef\u63d0\u524d 24 \u5c0f\u65f6\u5bf9\u66f4\u591a\u6838\u5fc3\u53d8\u91cf\u8fdb\u884c\u9ad8\u5206\u8fa8\u7387\u9884\u6d4b\uff0c\u5305\u62ec\u964d\u6c34\u3001\u8868\u9762\u6e29\u5ea6\u3001\u98ce\u901f\u548c\u98ce\u5411\u4ee5\u53ca\u9732\u70b9\u3002<\/p>\n

\u4e0e\u4f20\u7edf\u65b9\u6cd5\u76f8\u6bd4\uff0cMetNet-3 \u5b9e\u73b0\u4e86\u5f3a\u5927\u7684\u6027\u80fd\uff0c\u4f18\u4e8e\u6700\u597d\u7684\u57fa\u4e8e\u7269\u7406\u7684\u5355\u6210\u5458\u548c\u591a\u6210\u5458\u6570\u503c\u5929\u6c14\u9884\u62a5 (NWP) \u6a21\u578b\uff0c\u53ef\u63d0\u524d 24 \u5c0f\u65f6\u9884\u62a5\u591a\u4e2a\u5730\u533a\u3002<\/p>\n

\u540c\u5e74 11 \u6708\uff0cGoogle DeepMind \u63a8\u51fa\u5e76\u5f00\u6e90\u4e86\u673a\u5668\u5b66\u4e60\u7814\u7a76\u6a21\u578b GraphCast \u7684\u4ee3\u7801\uff0c\u53ef\u4ee5\u6bd4\u884c\u4e1a\u9ec4\u91d1\u6807\u51c6\u5929\u6c14\u6a21\u62df\u7cfb\u7edf (HRES) \u66f4\u51c6\u786e\u3001\u66f4\u5feb\u5730\u63d0\u524d 10 \u5929\u9884\u6d4b\u5929\u6c14\u72b6\u51b5\u3002\u76f8\u5173\u7814\u7a76\u767b\u4e0a\u300aScience<\/em>\u300b\u3002<\/p>\n

GraphCast \u8fd8\u53ef\u4ee5\u66f4\u51c6\u786e\u5730\u9884\u6d4b\u6c14\u65cb\u7684\u8f68\u8ff9\uff08\u4ee5\u53ca\u6d2a\u6c34\u7b49\u76f8\u5173\u98ce\u9669\uff09\uff0c\u5e76\u6bd4\u4f20\u7edf\u6a21\u578b\u63d0\u524d\u4e09\u5929\u51c6\u786e\u9884\u6d4b\u98d3\u98ce Lee \u5c06\u88ad\u51fb\u52a0\u62ff\u5927\u65b0\u65af\u79d1\u820d\u7701\u3002<\/p>\n

<\/a><\/p>\n

06 \u63a8\u8fdb\u6570\u5b66\u63a8\u7406\u7684\u524d\u6cbf<\/strong><\/p>\n

\u7531\u4e8e\u7f3a\u4e4f\u6570\u636e\u548c\u63a8\u7406\u6280\u80fd\uff0c\u4eba\u5de5\u667a\u80fd\u4e00\u76f4\u5728\u52aa\u529b\u89e3\u51b3\u590d\u6742\u6570\u5b66\u95ee\u9898\u3002<\/p>\n

\u5728 2024 \u5e74\uff0cGoogle DeepMind \u5ba3\u5e03\u63a8\u51fa AI\u00a0\u7cfb\u7edf AlphaGeometry\uff0c\u53ef\u4ee5\u89e3\u51b3\u590d\u6742\u7684\u51e0\u4f55\u95ee\u9898\uff0c\u5176\u6c34\u5e73\u63a5\u8fd1\u4eba\u7c7b\u56fd\u9645\u6570\u5b66\u5965\u6797\u5339\u514b (IMO) \u91d1\u724c\u5f97\u4e3b<\/a>\u2014\u2014\u8fd9\u662f\u4eba\u5de5\u667a\u80fd\u6027\u80fd\u7684\u7a81\u7834\uff0c\u4e5f\u662f\u5bf9\u66f4\u5148\u8fdb\u7684\u901a\u7528\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u7684\u8ffd\u6c42\u3002<\/p>\n

\u5728\u5bf9 30 \u9053\u5965\u6570\u51e0\u4f55\u9898\u7684\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0cAlphaGeometry \u5728\u6807\u51c6\u5965\u6570\u65f6\u9650\u5185\u89e3\u51b3\u4e86 25 \u9053\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u4e4b\u524d\u6700\u5148\u8fdb\u7684\u7cfb\u7edf\u89e3\u51b3\u4e86\u5176\u4e2d 10 \u4e2a\u51e0\u4f55\u95ee\u9898\uff0c\u800c\u4eba\u7c7b\u91d1\u724c\u5f97\u4e3b\u5e73\u5747\u89e3\u51b3\u4e86 25.9 \u4e2a\u95ee\u9898\u3002<\/p>\n

<\/a><\/p>\n

\u968f\u540e\uff0cGemini\u00a0\u8bad\u7ec3\u7684\u6a21\u578b AlphaGeometry 2 \u4e0e\u65b0\u6a21\u578b AlphaProof \u76f8\u7ed3\u5408\uff0c\u5171\u540c\u89e3\u51b3\u4e86\u8fc7\u53bb 25 \u5e74\u6240\u6709 IMO \u51e0\u4f55\u95ee\u9898\u4e2d\u7684 83%\u3002\u8fd9\u5c55\u793a\u4e86\u4eba\u5de5\u667a\u80fd\u65e5\u76ca\u589e\u5f3a\u7684\u63a8\u7406\u80fd\u529b\uff0c\u4ee5\u53ca\u53ef\u80fd\u89e3\u51b3\u8d85\u51fa\u5f53\u524d\u4eba\u7c7b\u80fd\u529b\u7684\u95ee\u9898\u7684\u80fd\u529b\uff0c\u4f7f\u6211\u4eec\u66f4\u63a5\u8fd1\u80fd\u591f\u53d1\u73b0\u548c\u9a8c\u8bc1\u65b0\u77e5\u8bc6\u7684\u7cfb\u7edf\u3002<\/p>\n

07 \u4f7f\u7528\u91cf\u5b50\u8ba1\u7b97\u51c6\u786e\u9884\u6d4b\u5316\u5b66\u53cd\u5e94\u6027\u548c\u52a8\u529b\u5b66<\/strong><\/p>\n

\u76f8\u4e92\u4f5c\u7528\u7684\u591a\u7535\u5b50\u95ee\u9898\u662f\u79d1\u5b66\u9886\u57df\u6700\u5927\u7684\u8ba1\u7b97\u6311\u6218\u4e4b\u4e00\uff0c\u5728\u8bb8\u591a\u9886\u57df\u90fd\u6709\u7740\u91cd\u8981\u7684\u5e94\u7528\u3002<\/p>\n

\u8c37\u6b4c\u4e0e\u52a0\u5dde\u5927\u5b66\u4f2f\u514b\u5229\u5206\u6821\u548c\u54e5\u4f26\u6bd4\u4e9a\u5927\u5b66\u5408\u4f5c\uff0c\u5728\u91cf\u5b50\u8ba1\u7b97\u673a\u4e0a\u8fdb\u884c\u4e86\u8fc4\u4eca\u4e3a\u6b62\u6700\u5927\u7684\u5316\u5b66\u6a21\u62df\u3002\u8be5\u7ed3\u679c\u4e8e 2022 \u5e74\u53d1\u8868\uff0c\u4e0d\u4ec5\u4e0e\u7ecf\u5178\u65b9\u6cd5\u76f8\u5ab2\u7f8e\uff0c\u800c\u4e14\u8fd8\u4e0d\u9700\u8981\u901a\u5e38\u4e0e\u91cf\u5b50\u8ba1\u7b97\u76f8\u5173\u7684\u7e41\u7410\u7684\u8bef\u5dee\u7f13\u89e3\u3002\u8fdb\u884c\u8fd9\u4e9b\u6a21\u62df\u7684\u80fd\u529b\u5c06\u63d0\u4f9b\u66f4\u51c6\u786e\u7684\u5316\u5b66\u53cd\u5e94\u6027\u548c\u52a8\u529b\u5b66\u9884\u6d4b\uff0c\u8fd9\u662f\u4ee5\u65b0\u65b9\u5f0f\u5e94\u7528\u5316\u5b66\u6765\u5e2e\u52a9\u89e3\u51b3\u73b0\u5b9e\u4e16\u754c\u6311\u6218\u7684\u5148\u51b3\u6761\u4ef6\u3002<\/p>\n

\u4e0e\u6d41\u884c\u7684\u53d8\u5206\u91cf\u5b50\u7279\u5f81\u503c\u6c42\u89e3\u5668\u76f8\u6bd4\uff0c\u8be5\u6df7\u5408\u91cf\u5b50-\u7ecf\u5178\u8ba1\u7b97\u6a21\u578b\u4e3a\u5b9e\u73b0\u7535\u5b50\u7ed3\u6784\u95ee\u9898\u7684\u5b9e\u9645\u91cf\u5b50\u4f18\u52bf\u63d0\u4f9b\u4e86\u4e00\u53e6\u4e00\u79cd\u9014\u5f84\uff0c\u800c\u4e0d\u9700\u8981\u6781\u5176\u7cbe\u786e\u5730\u51c6\u5907\u548c\u6d4b\u91cf\u57fa\u6001\u6ce2\u51fd\u6570\u3002<\/p>\n

08 \u52a0\u901f\u6750\u6599\u79d1\u5b66\u7684\u53d1\u5c55<\/strong><\/p>\n

2023 \u5e74\uff0c\u8c37\u6b4c DeepMind \u5ba3\u5e03\u63a8\u51fa\u65b0\u7684 AI \u5de5\u5177\u2014\u2014\u6750\u6599\u63a2\u7d22\u56fe\u7f51\u7edc (GNoME)\uff0c\u6839\u636e\u6a21\u62df\u7ed3\u679c\uff0c\u8be5\u5de5\u5177\u5df2\u7ecf\u53d1\u73b0\u4e86 380,000 \u79cd\u5728\u4f4e\u6e29\u4e0b\u7a33\u5b9a\u7684\u6750\u6599\u3002<\/a><\/p>\n

DeepMind \u6750\u6599\u56e2\u961f\u5206\u4eab\u4e86 220 \u4e07\u9897\u65b0\u6676\u4f53\u7684\u53d1\u73b0\uff0c\u76f8\u5f53\u4e8e\u8fd1 800 \u5e74\u7684\u77e5\u8bc6\u3002GNoME \u53ef\u901a\u8fc7\u9884\u6d4b\u65b0\u6750\u6599\u7684\u7a33\u5b9a\u6027\u6765\u663e\u8457\u63d0\u9ad8\u53d1\u73b0\u7684\u901f\u5ea6\u548c\u6548\u7387\u3002<\/p>\n

\u4f7f\u7528 GNoME\uff0c\u79d1\u5b66\u5bb6\u53ef\u4ee5\u4f7f\u4eba\u7c7b\u5df2\u77e5\u7684\u6280\u672f\u4e0a\u53ef\u884c\u7684\u6750\u6599\u6570\u91cf\u6210\u500d\u589e\u52a0\u3002\u5728\u5176 220 \u4e07\u4e2a\u9884\u6d4b\u4e2d\uff0c\u6709 38 \u4e07\u4e2a\u662f\u6700\u7a33\u5b9a\u7684\u3002\u8fd9\u4e9b\u5019\u9009\u6750\u6599\u4e2d\u6709\u6f5c\u529b\u5f00\u53d1\u672a\u6765\u53d8\u9769\u6027\u6280\u672f\uff0c\u5305\u62ec\u8d85\u5bfc\u4f53\u3001\u8d85\u7ea7\u8ba1\u7b97\u673a\u4f9b\u7535\u548c\u4e0b\u4e00\u4ee3\u7535\u6c60\u7b49\u7b49\u3002<\/p>\n

<\/a><\/p>\n

\u4e0e\u6b64\u540c\u65f6\uff0cGoogle DeepMind \u4e0e\u52a0\u5dde\u5927\u5b66\u4f2f\u514b\u5229\u5206\u6821\u7684\u7814\u7a76\u56e2\u961f\u5408\u4f5c\uff0c\u5f00\u53d1\u4e86\u4e00\u4e2a\u5c06\u673a\u5668\u4eba\u6280\u672f\u4e0e AI \u76f8\u7ed3\u5408\u7684\u81ea\u4e3b\u65b0\u6750\u6599\u53d1\u73b0\u5408\u6210\u7cfb\u7edf\u2014\u2014A-Lab\uff0c\u53ef\u7528\u4e8e\u8bbe\u8ba1\u6750\u6599\u914d\u65b9\uff0c\u5176\u4e2d\u5305\u62ec\u4e00\u4e9b\u53ef\u80fd\u7528\u4e8e\u6c7d\u8f66\u7535\u6c60\u6216\u592a\u9633\u80fd\u7535\u6c60\u7684\u6750\u6599\u3002\u5b83\u8fdb\u884c\u5408\u6210\u5e76\u5206\u6790\u4ea7\u54c1\u7684\u6240\u6709\u8fc7\u7a0b\u90fd\u65e0\u9700\u4eba\u5de5\u5e72\u9884\u3002<\/p>\n

09 \u5411\u6838\u805a\u53d8\u548c\u4e30\u5bcc\u7684\u6e05\u6d01\u80fd\u6e90\u8fc8\u51fa\u91cd\u8981\u4e00\u6b65<\/strong><\/p>\n

\u6709\u4e00\u4e2a\u8001\u7b11\u8bdd\uff0c\u300c\u6838\u805a\u53d8\u662f\u672a\u6765\u7684\u80fd\u6e90\u2014\u2014\u800c\u4e14\u6c38\u8fdc\u90fd\u662f\u3002\u300d\u63a7\u5236\u548c\u4f7f\u7528\u4e3a\u6052\u661f\uff08\u5305\u62ec\u592a\u9633\uff09\u63d0\u4f9b\u71c3\u6599\u7684\u80fd\u91cf\u5df2\u7ecf\u8d85\u51fa\u4e86\u79d1\u5b66\u7684\u8303\u56f4\u3002<\/p>\n

<\/a><\/p>\n

\u5728 2022 \u5e74\uff0c\u8c37\u6b4c DeepMind \u5ba3\u5e03\u5f00\u53d1\u51fa\u80fd\u591f\u81ea\u4e3b\u63a7\u5236\u6838\u805a\u53d8\u53cd\u5e94\u5806\u5185\u7b49\u79bb\u5b50\u4f53\u7684\u4eba\u5de5\u667a\u80fd\u3002\u901a\u8fc7\u4e0e EPFL \u7684\u745e\u58eb\u7b49\u79bb\u5b50\u4f53\u4e2d\u5fc3\u5408\u4f5c\uff0c\u8c37\u6b4c DeepMind \u5efa\u7acb\u4e86\u4e16\u754c\u4e0a\u9996\u4e2a\u53ef\u5728\u6a21\u62df\u73af\u5883\u548c\u771f\u6b63\u7684\u6838\u805a\u53d8\u53cd\u5e94\u5806\u4e2d\u5b9e\u73b0\u5bf9\u7b49\u79bb\u5b50\u4f53\u7684\u81ea\u4e3b\u63a7\u5236\u7684 AI \u7cfb\u7edf\u3002\u671d\u7740\u7a33\u5b9a\u805a\u53d8\u3001\u4e3a\u4eba\u7c7b\u63d0\u4f9b\u4e30\u5bcc\u7684\u6e05\u6d01\u80fd\u6e90\u8fc8\u51fa\u4e86\u5173\u952e\u7684\u4e00\u6b65\u3002<\/p>\n

\u5199\u5728\u6700\u540e\uff0cAI \u5df2\u7ecf\u6e17\u900f\u5230\u5404\u79d1\u5b66\u9886\u57df\uff0c\u8c37\u6b4c\u6240\u53d6\u5f97\u7684\u8fd9\u4e9b\u7814\u7a76\u6210\u679c\u4e3a\u5373\u5c06\u5230\u6765\u7684\u4f17\u591a\u79d1\u5b66\u8fdb\u6b65\u5960\u5b9a\u4e86\u57fa\u7840\u3002<\/p>\n

\u4eca\u5e74\u7684\u8bfa\u5956\u9881\u53d1\u7ed9 AI for Science\uff0c\u66f4\u662f\u6700\u5f3a\u8bc1\u660e\uff0cAI \u4e0e Science \u662f\u4e92\u8865\u7684\u672a\u6765\u3002<\/p>\n

\u53c2\u8003\u5185\u5bb9\uff1a<\/p>\n

https:\/\/blog.google\/technology\/ai\/google-ai-big-scientific-breakthroughs-2024\/<\/em><\/p>\n

https:\/\/www.nature.com\/articles\/s41586-023-06735-9<\/em><\/p>\n

https:\/\/www.nature.com\/articles\/s41586-021-04301-9<\/em><\/p>\n

https:\/\/www.nature.com\/articles\/s41586-021-04351-z<\/em><\/p>\n

https:\/\/www.nature.com\/articles\/s41586-023-06747-5<\/em><\/p>\n

https:\/\/www.science.org\/stoken\/author-tokens\/ST-1550\/full<\/em><\/p>\n

https:\/\/www.science.org\/doi\/10.1126\/science.adk4858<\/em><\/p>\n

https:\/\/www.nature.com\/articles\/s41586-024-07487-w<\/em><\/p>\n

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