Bridging AI & Science: The Impact of Machine Learning on Material Innovation with Joe Spisak of Meta

Unlocking the Power of Language Models in Enterprise: A Deep Dive with Chris Van Pelt

Anthony Goldbloom — How to Win Kaggle Competitions

Suzana Ilić — Cultivating Machine Learning Communities

Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML

Anantha Kancherla — Building Level 5 Autonomous Vehicles

Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery

Chip Huyen — ML Research and Production Pipelines

Peter Skomoroch — Product Management for AI

Josh Tobin — Productionizing ML Models

Miles Brundage — Societal Impacts of Artificial Intelligence

Hamel Husain — Building Machine Learning Tools

Vicki Boykis — Machine Learning Across Industries

Angela & Danielle — Designing ML Models for Millions of Consumer Robots

Jack Clark — Building Trustworthy AI Systems

Rachael Tatman — Conversational AI and Linguistics

Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars

Brandon Rohrer — Machine Learning in Production for Robots

Sean and Greg — Biology and ML for Drug Discovery

Chris, Shawn, and Lukas — The Weights & Biases Journey

Pete Warden — Practical Applications of TinyML

Pieter Abbeel — Robotics, Startups, and Robotics Startups