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encodeId=23c2188845315, content=<a href='/topic/show?id=d56611584ec' target=_blank style='color:#2F92EE;'>#Meta#</a>, objectTitle=Nature Metabolism：“换血抗衰老”奠基人最新研究：老年血液会迅速诱导年轻个体未老先衰, objectType=article, longId=735077, objectId=3742e3507707, topicUrl=null, isHasObj=0, objectCover=null, objectUrl=/article/show_article.do?id=3742e3507707, replyNumber=0, likeNumber=104, createdTime=2023-05-01, rootId=0, userName=guojianrong, userId=d8f4110, projectId=1, avatar=, status=1, hasArticle=1, attachment=null, ipAttribution=, moduleDTOList=[ModuleDTO(moduleId=3742e3507707, moduleTitle=Nature Metabolism：“换血抗衰老”奠基人最新研究：老年血液会迅速诱导年轻个体未老先衰, moduleType=article, hrefUrl=//www.nyrain.com/article/show_article.do?id=3742e3507707)], followStatus=false, userIsMember=false, type=1, lengthMark=0)] williamhill asia 话题小助手

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全文收起科技公司#Meta#开发的#ESMFold#成功预测了超过6亿个#蛋白质结构#，包含大量前所未见的结构，并且预测速度最高可达#AlphaFold#的60倍。本质上来讲#AlphaFold2#和ESMFold模型的底层逻辑是一致的世界三大人工智能巨头：#Deepmind#, #OpenAI#, #FAIR#，每一家都成果备出，这三家分别背靠#Google#(现在叫#Alphabet#）,#微软#和#马斯克#，#Facebook#（现在叫meta)，估计未来其它人都难了，中国#人工智能#企业与之相比，还弱得太多。一方面缺乏底层#算法#的研究，基本仍然处于copy模式; 二是研究投入人限，人才也相对稀缺，在未来竞争中很难占有优势; 三是硬件受限，人工智能是很烧钱，烧硬件的，现在高端硬件针对中国禁用，导致极大的限制。未来这一块又可能成为新的#卡脖子#技术了。

Meta公司发布ESMFold，两周完成6亿+宏基因组蛋白质结构图谱

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