Researchers at #Meta have used #AI to predict the structures of some 600 million proteins from bacteria, viruses and other microbes that haven’t been characterised
Say what? Are you talking about #FACEBOOK and #SCIENCE?
By @ewencallaway for @Nature
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nature.com/articles/d41586-022-03539-1
It can be easy to forget that the social media giant is also one of the world’s largest long-term investors in #AI research
Mark #Zuckerberg has been one of the larger patrons of science over the last decade.
His foundation, The #ChanZuckerbergInitiative, has the goal of “managing all diseases” by the end of the 21st century.
Meta’s model predicts the shape of ~600 million proteins, nearly three times as many as the ~220 million protein structures #DeepMind unveiled earlier this year
While #Meta’s model is not at as accurate as #DeepMind’s, it’s about 60x faster, which enables it to run on much larger databases.
This thread was inspired by @notboringco
Rick Huckstep
@rickhuckstep
Making Sense Of Disruptive Technologies & The Tech Economy | 🗣 Speaker | 📖 Writer | 🎙 Podcaster | 👨👩👧👦 Community