DeepMind’s AlphaFold AI: Doing Years Of Research In Minutes!
9,011❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers
📝 The paper "Highly accurate protein structure prediction with #AlphaFold" is available here:
https://www.nature.com/articles/s41586-021-03819-2
https://www.deepmind.com/blog/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology
The showcased projects:
https://unfolded.deepmind.com/stories/accelerating-the-fight-against-plastic-pollution
https://unfolded.deepmind.com/stories/unlocking-the-mystery-of-the-demon-duck-of-doom
My latest paper on simulations that look almost like reality is available for free here:
https://rdcu.be/cWPfD
Or this is the orig. Nature Physics link with clickable citations:
https://www.nature.com/articles/s41567-022-01788-5
🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi.
If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers
Thumbnail background image credit: Rita Clare, Montana State University.
Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu
Károly Zsolnai-Fehér's links:
Twitter: https://twitter.com/twominutepapers
Web: https://cg.tuwien.ac.at/~zsolnai/