{"id":34173,"date":"2024-12-01T12:56:54","date_gmt":"2024-12-01T04:56:54","guid":{"rendered":"https:\/\/17aitech.com\/?p=34173"},"modified":"2024-12-01T12:56:54","modified_gmt":"2024-12-01T04:56:54","slug":"%e8%87%aa%e5%8a%a8%e8%af%86%e5%88%ab%e6%9c%80%e4%bd%b3%e5%88%86%e5%ad%90%ef%bc%8c%e9%99%8d%e4%bd%8e%e5%90%88%e6%88%90%e6%88%90%e6%9c%ac%ef%bc%8cmit%e5%bc%80%e5%8f%91%e5%88%86%e5%ad%90%e8%ae%be","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=34173","title":{"rendered":"\u81ea\u52a8\u8bc6\u522b\u6700\u4f73\u5206\u5b50\uff0c\u964d\u4f4e\u5408\u6210\u6210\u672c\uff0cMIT\u5f00\u53d1\u5206\u5b50\u8bbe\u8ba1\u51b3\u7b56\u7b97\u6cd5\u6846\u67b6"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u81ea\u52a8\u8bc6\u522b\u6700\u4f73\u5206\u5b50\uff0c\u964d\u4f4e\u5408\u6210\u6210\u672c\uff0cMIT\u5f00\u53d1\u5206\u5b50\u8bbe\u8ba1\u51b3\u7b56\u7b97\u6cd5\u6846\u67b6<\/a><\/p>\n

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\u7f16\u8f91 | \u7d2b\u7f57<\/p>\n

AI \u5728\u7b80\u5316\u836f\u7269\u53d1\u73b0\u65b9\u9762\u7684\u5e94\u7528\u6b63\u5728\u7206\u70b8\u5f0f\u589e\u957f\u3002\u4ece\u6570\u5341\u4ebf\u79cd\u5019\u9009\u5206\u5b50\u4e2d\u7b5b\u9009\u51fa\u53ef\u80fd\u5177\u6709\u5f00\u53d1\u65b0\u836f\u6240\u9700\u7279\u6027\u7684\u5206\u5b50\u3002\u9700\u8981\u8003\u8651\u7684\u53d8\u91cf\u592a\u591a\u4e86\uff0c\u4ece\u6750\u6599\u4ef7\u683c\u5230\u51fa\u9519\u7684\u98ce\u9669\uff0c\u5373\u4f7f\u79d1\u5b66\u5bb6\u4f7f\u7528 AI\uff0c\u6743\u8861\u5408\u6210\u6700\u4f73\u5019\u9009\u5206\u5b50\u7684\u6210\u672c\u4e5f\u4e0d\u662f\u4e00\u4ef6\u5bb9\u6613\u7684\u4e8b\u3002<\/p>\n

\u5728\u6b64\uff0cMIT \u7814\u7a76\u4eba\u5458\u5f00\u53d1\u4e86\u4e00\u4e2a\u5b9a\u91cf\u51b3\u7b56\u7b97\u6cd5\u6846\u67b6 SPARROW\uff0c\u6765\u81ea\u52a8\u8bc6\u522b\u6700\u4f73\u5206\u5b50\u5019\u9009\u7269\uff0c\u4ece\u800c\u6700\u5927\u9650\u5ea6\u5730\u964d\u4f4e\u5408\u6210\u6210\u672c\uff0c\u540c\u65f6\u6700\u5927\u9650\u5ea6\u5730\u63d0\u9ad8\u5019\u9009\u7269\u5177\u6709\u6240\u9700\u7279\u6027\u7684\u53ef\u80fd\u6027\u3002\u8be5\u7b97\u6cd5\u8fd8\u786e\u5b9a\u4e86\u5408\u6210\u8fd9\u4e9b\u5206\u5b50\u6240\u9700\u7684\u6750\u6599\u548c\u5b9e\u9a8c\u6b65\u9aa4\u3002<\/p>\n

SPARROW \u8003\u8651\u4e86\u4e00\u6b21\u5408\u6210\u4e00\u6279\u5206\u5b50\u7684\u6210\u672c\uff0c\u56e0\u4e3a\u591a\u4e2a\u5019\u9009\u5206\u5b50\u901a\u5e38\u53ef\u4ee5\u4ece\u4e00\u4e9b\u76f8\u540c\u7684\u5316\u5408\u7269\u4e2d\u884d\u751f\u51fa\u6765\u3002\u6b64\u5916\uff0c\u8fd9\u79cd\u7edf\u4e00\u7684\u65b9\u6cd5\u53ef\u4ee5\u4ece\u5728\u7ebf\u5b58\u50a8\u5e93\u548c\u5e7f\u6cdb\u4f7f\u7528\u7684 AI \u5de5\u5177\u4e2d\u83b7\u53d6\u6709\u5173\u5206\u5b50\u8bbe\u8ba1\u3001\u6027\u8d28\u9884\u6d4b\u548c\u5408\u6210\u89c4\u5212\u7684\u5173\u952e\u4fe1\u606f\u3002<\/p>\n

\u9664\u4e86\u5e2e\u52a9\u5236\u836f\u516c\u53f8\u66f4\u6709\u6548\u5730\u53d1\u73b0\u65b0\u836f\u5916\uff0cSPARROW \u8fd8\u53ef\u4ee5\u7528\u4e8e\u53d1\u660e\u65b0\u7684\u519c\u7528\u5316\u5b66\u54c1\u6216\u53d1\u73b0\u6709\u673a\u7535\u5b50\u4ea7\u54c1\u7684\u4e13\u7528\u6750\u6599\u7b49\u3002<\/p>\n

\u76f8\u5173\u7814\u7a76\u4ee5\u300aAn algorithmic framework for synthetic cost-aware decision making in molecular design<\/em>\u300b\u4e3a\u9898\uff0c\u4e8e 6 \u6708 19 \u65e5\u53d1\u5e03\u5728\u300aNature Computational Science<\/em>\u300b\u4e0a\u3002<\/p>\n

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\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s43588-024-00639-y<\/em><\/p>\n

\u300c\u5316\u5408\u7269\u7684\u9009\u62e9\u662f\u4e00\u95e8\u827a\u672f\uff0c\u6709\u65f6\u5b83\u662f\u4e00\u95e8\u975e\u5e38\u6210\u529f\u7684\u827a\u672f\u3002\u4f46\u9274\u4e8e\u6211\u4eec\u62e5\u6709\u6240\u6709\u8fd9\u4e9b\u6a21\u578b\u548c\u9884\u6d4b\u5de5\u5177\uff0c\u5b83\u4eec\u80fd\u63d0\u4f9b\u5173\u4e8e\u5206\u5b50\u53ef\u80fd\u5982\u4f55\u8868\u73b0\u4ee5\u53ca\u5982\u4f55\u5408\u6210\u7684\u4fe1\u606f\uff0c\u6211\u4eec\u5e94\u8be5\u4f7f\u7528\u8fd9\u4e9b\u4fe1\u606f\u6765\u6307\u5bfc\u6211\u4eec\u505a\u51fa\u7684\u51b3\u7b56\u3002\u300d\u8bba\u6587\u901a\u8baf\u4f5c\u8005 \u3001MIT \u5316\u5b66\u5de5\u7a0b\u7cfb\u52a9\u7406\u6559\u6388 Connor Coley \u8bf4\u3002<\/p>\n

\u5b9a\u91cf\u51b3\u7b56\u7b97\u6cd5\u6846\u67b6 SPARROW<\/strong><\/p>\n

\u300c\u5408\u6210\u89c4\u5212\u548c\u57fa\u4e8e\u5956\u52b1\u7684\u8def\u7ebf\u4f18\u5316\u5de5\u4f5c\u6d41\u7a0b\u300d\uff08Synthesis Planning And Rewards-based \u00a0Route Optimization Workflow\uff0cSPARROW\uff09\uff0c\u662f\u4e00\u79cd\u7528\u4e8e\u9a71\u52a8\u8bbe\u8ba1\u5468\u671f\u7684\u7b97\u6cd5\u51b3\u7b56\u6846\u67b6\u3002<\/p>\n

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

\u56fe\u793a\uff1aSPARROW \u6982\u8ff0\u53ca\u5176\u5728\u5206\u5b50\u8bbe\u8ba1\u5468\u671f\u4e2d\u7684\u4f5c\u7528\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u8be5\u7814\u7a76\u5efa\u7acb\u5728\u65e9\u671f\u7684\u95ee\u9898\u516c\u5f0f\u7684\u57fa\u7840\u4e0a\uff0c\u7528\u4e8e\u540c\u65f6\u9009\u62e9\u591a\u4e2a\u5206\u5b50\u7684\u5408\u6210\u8def\u7ebf\uff0c\u4ee5\u53ca\u4ea7\u54c1\u548c\u5de5\u827a\u7cfb\u7edf\u8bbe\u8ba1\u7684\u96c6\u6210\u3002\u4e0e\u4f20\u7edf\u7684\u7b5b\u9009\u65b9\u6cd5\u4e0d\u540c\uff0cSPARROW \u4f7f\u7528\u4e00\u4e2a\u591a\u76ee\u6807\u4f18\u5316\u6807\u51c6\uff0c\u5e73\u8861\u6210\u672c\u4e0e\u6548\u7528\uff0c\u4ece\u5019\u9009\u5206\u5b50\u5e93\u4e2d\u5bf9\u5206\u5b50\u53ca\u5176\u5047\u8bbe\u7684\u5408\u6210\u8def\u7ebf\u8fdb\u884c\u4f18\u5148\u6392\u5e8f\u3002<\/p>\n

SPARROW \u751f\u6210\u7531\u5019\u9009\u76ee\u6807\u5206\u5b50\u548c\u5408\u6210\u8def\u7ebf\u7ec4\u6210\u7684\u53cd\u5e94\u7f51\u7edc\u3002\u901a\u8fc7\u89e3\u51b3\u57fa\u4e8e\u56fe\u7684\u4f18\u5316\u95ee\u9898\uff0c\u53ef\u4ee5\u7b5b\u9009\u51fa\u4e00\u7ec4\u5206\u5b50\u548c\u5408\u6210\u8def\u7ebf\uff0c\u4ee5\u6700\u4f73\u5730\u5e73\u8861\u7d2f\u79ef\u5408\u6210\u6210\u672c\u548c\u6548\u7528\u3002\u5728\u6b64\u80cc\u666f\u4e0b\uff0c\u6548\u7528\u8861\u91cf\u8bc4\u4f30\u5206\u5b50\u5c5e\u6027\u7684\u4ef7\u503c\u3002<\/p>\n

\u6548\u7528\u7684\u9002\u5f53\u8861\u91cf\u6807\u51c6\u5c06\u56e0\u5e94\u7528\u548c\u8bbe\u8ba1\u7684\u4e0d\u540c\u9636\u6bb5\u800c\u5f02\u3002\u5b83\u53ef\u80fd\u5305\u542b\u5206\u5b50\u5c5e\u6027\u9884\u6d4b\u3001\u8fd9\u4e9b\u9884\u6d4b\u4e2d\u7684\u4e0d\u786e\u5b9a\u6027\u6216\u65b0\u6570\u636e\u70b9\u6539\u5584\u7ed3\u6784-\u5c5e\u6027\u5173\u7cfb\u7684\u6f5c\u529b\u3002\u5fc5\u987b\u5411 SPARROW \u63d0\u4f9b\u4e00\u4e2a\u5019\u9009\u5e93\uff0c\u5e76\u63d0\u4f9b\u76f8\u5e94\u7684\u5956\u52b1\uff0c\u4ee5\u8868\u660e\u4e0e\u6bcf\u4e2a\u5019\u9009\u5206\u5b50\u76f8\u5173\u7684\u6548\u7528\u3002<\/p>\n

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

\u56fe\u793a\uff1aSPARROW \u7684\u95ee\u9898\u8868\u8ff0\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u9009\u62e9\u4e00\u4e2a\u5206\u5b50\u6240\u83b7\u5f97\u7684\u5956\u52b1\u8fd8\u53d6\u51b3\u4e8e\u6240\u9009\u5408\u6210\u8be5\u5206\u5b50\u7684\u53cd\u5e94\u6b65\u9aa4\u662f\u5426\u6210\u529f\u3002\u5982\u679c\u5019\u9009\u5206\u5b50\u5408\u6210\u8def\u7ebf\u4e2d\u7684\u67d0\u4e2a\u53cd\u5e94\u6b65\u9aa4\u5931\u8d25\uff0c\u5219\u65e0\u6cd5\u83b7\u5f97\u4efb\u4f55\u4fe1\u606f\u3002\u7814\u7a76\u4eba\u5458\u901a\u8fc7\u6700\u5927\u5316\u9009\u62e9\u4e00\u4e2a\u5019\u9009\u5206\u5b50\u7684\u9884\u671f\u5956\u52b1\u6765\u5f62\u5f0f\u5316\u8fd9\u4e00\u70b9\uff0c\u8be5\u9884\u671f\u5956\u52b1\u53ef\u4ee5\u7528\u5176\u5956\u52b1\u4e58\u4ee5\u6210\u529f\u5408\u6210\u8be5\u5206\u5b50\u7684\u6982\u7387\u6765\u8868\u793a\u3002<\/p>\n

\u5e73\u8861\u6210\u672c\u548c\u6548\u7528\uff0cSPARROW \u7684\u76ee\u6807\u53ef\u4ee5\u5f62\u5f0f\u5316\u4e3a\u6240\u6709\u9009\u5b9a\u76ee\u6807\u7684\u9884\u671f\u5956\u52b1\u9664\u4ee5\u4f7f\u7528\u9009\u5b9a\u8def\u7ebf\u5408\u6210\u6240\u6709\u9009\u5b9a\u76ee\u6807\u7684\u6210\u672c\u3002<\/p>\n

\u590d\u6742\u7684\u6210\u672c\u8003\u91cf<\/strong><\/p>\n

\u4ece\u67d0\u79cd\u610f\u4e49\u4e0a\u8bf4\uff0c\u79d1\u5b66\u5bb6\u662f\u5426\u5e94\u8be5\u5408\u6210\u548c\u6d4b\u8bd5\u67d0\u79cd\u5206\u5b50\uff0c\u5f52\u7ed3\u4e3a\u5408\u6210\u6210\u672c\u4e0e\u5b9e\u9a8c\u4ef7\u503c\u7684\u95ee\u9898\u3002\u7136\u800c\uff0c\u786e\u5b9a\u6210\u672c\u6216\u4ef7\u503c\u672c\u8eab\u5c31\u662f\u4e00\u4e2a\u96be\u9898\u3002<\/p>\n

SPARROW \u901a\u8fc7\u8003\u8651\u5408\u6210\u5206\u5b50\u6240\u6d89\u53ca\u7684\u5171\u4eab\u4e2d\u95f4\u5316\u5408\u7269\u5e76\u5c06\u8be5\u4fe1\u606f\u7eb3\u5165\u5176\u6210\u672c\u4e0e\u4ef7\u503c\u51fd\u6570\u6765\u5e94\u5bf9\u8fd9\u4e00\u6311\u6218\u3002<\/p>\n

\u300c\u5f53\u4f60\u8003\u8651\u8bbe\u8ba1\u4e00\u6279\u5206\u5b50\u7684\u4f18\u5316\u95ee\u9898\u65f6\uff0c\u6dfb\u52a0\u65b0\u7ed3\u6784\u7684\u6210\u672c\u53d6\u51b3\u4e8e\u4f60\u5df2\u7ecf\u9009\u62e9\u7684\u5206\u5b50\u3002\u300dColey \u8bf4\u3002<\/p>\n

\u8be5\u6846\u67b6\u8fd8\u8003\u8651\u4e86\u8bf8\u5982\u8d77\u59cb\u6750\u6599\u7684\u6210\u672c\u3001\u6bcf\u6761\u5408\u6210\u8def\u7ebf\u6240\u6d89\u53ca\u7684\u53cd\u5e94\u6570\u91cf\uff0c\u4ee5\u53ca\u8fd9\u4e9b\u53cd\u5e94\u5728\u7b2c\u4e00\u6b21\u5c1d\u8bd5\u65f6\u6210\u529f\u7684\u53ef\u80fd\u6027\u7b49\u56e0\u7d20\u3002<\/p>\n

\u8981\u4f7f\u7528 SPARROW\uff0c\u79d1\u5b66\u5bb6\u9700\u63d0\u4f9b\u4e00\u7ec4\u4ed6\u4eec\u6b63\u5728\u8003\u8651\u6d4b\u8bd5\u7684\u5206\u5b50\u5316\u5408\u7269\uff0c\u4ee5\u53ca\u4ed6\u4eec\u5e0c\u671b\u627e\u5230\u7684\u5c5e\u6027\u5b9a\u4e49\u3002<\/p>\n

\u63a5\u4e0b\u6765\uff0cSPARROW \u6536\u96c6\u6709\u5173\u5206\u5b50\u53ca\u5176\u5408\u6210\u9014\u5f84\u7684\u4fe1\u606f\uff0c\u7136\u540e\u6743\u8861\u6bcf\u4e2a\u5206\u5b50\u7684\u4ef7\u503c\u4e0e\u5408\u6210\u4e00\u6279\u5019\u9009\u7269\u7684\u6210\u672c\u3002\u5b83\u4f1a\u81ea\u52a8\u9009\u62e9\u7b26\u5408\u7528\u6237\u6807\u51c6\u7684\u6700\u4f73\u5019\u9009\u5b50\u96c6\uff0c\u5e76\u4e3a\u8fd9\u4e9b\u5316\u5408\u7269\u627e\u5230\u6700\u5177\u6210\u672c\u6548\u76ca\u7684\u5408\u6210\u8def\u7ebf\u3002<\/p>\n

\u8bba\u6587\u4e00\u4f5c Jenna Fromer \u8bf4\uff1a\u300c\u5b83\u5728\u4e00\u6b65\u4e2d\u5b8c\u6210\u4e86\u6240\u6709\u8fd9\u4e9b\u4f18\u5316\uff0c\u56e0\u6b64\u5b83\u53ef\u4ee5\u540c\u65f6\u6355\u6349\u6240\u6709\u8fd9\u4e9b\u76f8\u4e92\u7ade\u4e89\u7684\u76ee\u6807\u3002\u300d<\/p>\n

\u591a\u529f\u80fd\u6846\u67b6<\/strong><\/p>\n

SPARROW \u7684\u72ec\u7279\u4e4b\u5904\u5728\u4e8e\u5b83\u53ef\u4ee5\u6574\u5408\u4eba\u7c7b\u624b\u5de5\u8bbe\u8ba1\u7684\u5206\u5b50\u7ed3\u6784\u3001\u865a\u62df\u76ee\u5f55\u4e2d\u5b58\u5728\u7684\u5206\u5b50\u7ed3\u6784\uff0c\u6216\u751f\u6210\u5f0f AI \u6a21\u578b\u521b\u9020\u7684\u4ece\u672a\u89c1\u8fc7\u7684\u5206\u5b50\u7ed3\u6784\u3002<\/p>\n

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\u53c2\u8003\u5185\u5bb9\uff1ahttps:\/\/news.mit.edu\/2024\/smarter-way-streamline-drug-discovery-0617<\/em><\/p>\n

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