David Patterson - Domain-Specific Architectures for Deep Neural Networks

Andrej Karpathy - AI for Full-Self Driving at Tesla

Jim Keller - Moore's Law in the age of AI Chips

Reza Zadeh - Turning Machine Learning Research into Products for Industry

Oren Etzioni - AI and the Future of Humanity

Ilya Sutskever - The Power of Large Scale Generative Models and RL

David Aronchick - Using MLOps to Bring ML to Production

Dennis Abts - Ditching the 'C' in CPU

François Chollet - Keras: The Next Five Years

Ion Stoica - ML for Systems

Joe Isaacson - Optimizing the Design of Genetic Programs for Living Cells

Josh Romero - Scaling DL on the Summit Supercomputer

Joshua Bloom - Towards Physics-Informed ML Inference in Astrophysics