Sarah Catanzaro — Remembering the Lessons of the Last AI Renaissance

Jeremy Howard — The Simple but Profound Insight Behind Diffusion

Jonathan Frankle: Neural Network Pruning and Training

Peter & Boris — Fine-tuning OpenAI's GPT-3

Ion Stoica — Spark, Ray, and Enterprise Open Source

Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform

Chris Padwick — Smart Machines for More Sustainable Farming

Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy

Jeff Hammerbacher — From data science to biomedicine

Josh Bloom — The Link Between Astronomy and ML

Xavier Amatriain — Building AI-powered Primary Care

Spence Green — Enterprise-scale Machine Translation

Roger & DJ — The Rise of Big Data and CA's COVID-19 Response

Luis Ceze — Accelerating Machine Learning Systems

Matthew Davis — Bringing Genetic Insights to Everyone

Clément Delangue — The Power of the Open Source Community

Phil Brown — How IPUs are Advancing Machine Intelligence

Alyssa Simpson Rochwerger — Responsible ML in the Real World

Sean Taylor — Business Decision Problems

Polly Fordyce — Microfluidic Platforms and Machine Learning

Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

Nimrod Shabtay — Deployment and Monitoring at Nanit

Vladlen Koltun — The Power of Simulation and Abstraction