颜宁润了

[MAP2012]

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颜å®å®£å¸ƒç¦»ç¾Žå½’国

tech.sina.com.cn

 

[茶马盐铁]

她早就该回国的。 在美国拖拖拉拉那么长时间， 已经很让人恼火了。

 

[一心无住]

多年前从看她一次采访，我就不看好她。她完全是一个抖机灵的人。

 

[地坛北里]

华裔在高技术領域受懷疑越來越多，不得不润，总不能都去开餐馆卖房子吧？那些拿米国护照在中国干芯片的，回米國后能找到好工作吗？

 

[TESLA]

挺好的，认可北美的留下，不认可的回去。起码言行一致。不像老飞，脑体分裂

 

[ztbll]

这种人就是见利忘义，土工不会完全信任她，而留在国外的华人也会沾她的光不值得被信任。

 

[春夏之交]

怕被美国政府抓去坐牢吧

 

[gocanoeing]

多年前从看她一次采访，我就不看好她。她完全是一个抖机灵的人。

一般人也很难做到普斯终教吧？

 

[gocanoeing]

这种人就是见利忘义，土工不会完全信任她，而留在国外的华人也会沾她的光不值得被信任。

个人选择，自负后果，不必上纲上线

 

[welcomelm]

挺好的，认可北美的留下，不认可的回去。起码言行一致。不像老飞，脑体分裂

要还是没本事，要是国内抢着要他，他早回去了。

无才可去不苍天，可叹

 

[luluyun]

 

[TESLA]

浏览附件1068440

浏览附件1068441

不懂这行，所以也不能评论。
ai应该比一般研究员厉害，但顶级的很难说。颜宁起码也是经过普渡大学和美国科学院认可的。

 

[EYE2011]

不懂这行，所以也不能评论。
ai应该比一般研究员厉害，但顶级的很难说。颜宁起码也是经过普渡大学和美国科学院认可的。

那是在deepmind出来之前。
再说，她也不是第一次海龟，上次归海前不也闹得沸沸扬扬的

 

[Jay Wang]

浏览附件1068440

浏览附件1068441

菜鸟求科普，AI结构生物学？

 

[EYE2011]

DeepMind - Wikipedia

en.wikipedia.org

AlphaFold[edit]​

Main article: AlphaFold
In 2016, DeepMind turned its artificial intelligence to protein folding, one of the toughest problems in science. In December 2018, DeepMind's AlphaFold won the 13th Critical Assessment of Techniques for Protein Structure Prediction (CASP) by successfully predicting the most accurate structure for 25 out of 43 proteins. “This is a lighthouse project, our first major investment in terms of people and resources into a fundamental, very important, real-world scientific problem,” Hassabis said to The Guardian.[77] In 2020, in the 14th CASP, AlphaFold's predictions achieved an accuracy score regarded as comparable with lab techniques. Dr Andriy Kryshtafovych, one of the panel of scientific adjudicators, described the achievement as "truly remarkable", and said the problem of predicting how proteins fold had been "largely solved".[78][79][80]

In July 2021, the open-source RoseTTAFold and AlphaFold2 were released to allow scientists to run their own versions of the tools. A week later OpenMind announced that AlphaFold had completed its prediction of nearly all human proteins as well as the entire 'proteomes' of 20 other widely studied organisms.[81] The structures were released on the AlphaFold Protein Structure Database. In July 2022, it was announced that the predictions of over 200 million proteins, representing virtually all known proteins, would be released on the AlphaFold database.[14][15]