Using AI to accelerate scientific discovery - Demis Hassabis (Crick Insight Lecture Series)

Using AI to accelerate scientific discovery Demis Hassabis, co-founder and CEO, DeepMind At The Francis Crick Institute in King's Cross, London Abstract: The past decade has seen incredible advances in the field of Artificial Intelligence (AI). DeepMind has been in the vanguard of many of these big breakthroughs, pioneering the development of self-learning systems like AlphaGo, the first program to beat the world champion at the complex game of Go. Games have proven to be a great training ground for developing and testing AI algorithms, but the aim at DeepMind has always been to build general learning systems ultimately capable of solving important problems in the real world. Excitingly, I believe we are on the cusp of a new era in science with AI poised to be a powerful tool for accelerating scientific discovery itself. We recently demonstrated this potential with our AlphaFold system, a solution to the 50-year grand challenge of protein structure prediction, culminating in the release of the most accurate and complete picture of the human proteome. The speaker: Demis Hassabis is the Founder and CEO of DeepMind, the world's leading AI research company that aims to solve intelligence to advance science and benefit humanity In 2016, DeepMind developed AlphaGo, the first program to beat a world champion at the complex game of Go. In 2020, its Alphafold program was heralded as a solution to the 50-year grand challenge of protein structure prediction and in 2021, DeepMind launched the AlphaFold Protein Structure Database, which offers the most complete and accurate picture of the human proteome to date. A chess prodigy, Demis reached master standard aged 13, and went on to program the multi-million selling simulation game Theme Park aged 17. After graduating from Cambridge University in computer science, he founded pioneering videogames company Elixir Studios, and completed a PhD in cognitive neuroscience at University College London. Science listed his neuroscien