Using AI to Accelerate Scientific Discovery
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. I believe we are on the cusp of an exciting 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.
Date: 17 May 2022, 18:30 (Tuesday, 4th week, Trinity 2022)
Venue: Sheldonian Theatre, Broad Street OX1 3AZ
Speaker: Demis Hassabis (DeepMind)
Organisers: Institute for Ethics in AI (University of Oxford), Institute for Ethics in AI (University of Oxford)
Organiser contact email address: invitation@admin.ox.ac.uk
Part of: The Obert C. Tanner Lectures on Artificial Intelligence and Human Values.
Booking required?: Required
Booking url: https://www.eventbrite.co.uk/e/using-ai-to-accelerate-scientific-discovery-by-demis-hassabis-deepmind-tickets-314488612907
Cost: Free to attend
Audience: Public
Editor: Joanne Fisher