Aug. 2, 2022, 6:34 p.m. |

Babbage from The Economist www.economist.com

DeepMind’s artificial-intelligence system AlphaFold has predicted the three-dimensional shape of almost all known proteins. The company’s boss Demis Hassabis tells us how the AI was able to solve what was, for decades, biology’s grand challenge. Plus, Gilead Amit, The Economist’s science correspondent, explores the significance of the breakthrough for scientists tackling neglected diseases and designing new molecules. The leap forward could be AI’s greatest contribution to biology to date, but how else could machine learning help science? Kenneth Cukier hosts. …

alphafold artificial biology boss challenge deepmind demis hassabis diseases economist intelligence proteins science scientists significance

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Lead Data Scientist, Commercial Analytics

@ Checkout.com | London, United Kingdom

Data Engineer I

@ Love's Travel Stops | Oklahoma City, OK, US, 73120