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

James Cham — Investing in the Intersection of Business and Technology

Tristan Handy — The Work Behind the Data Work

Johannes Otterbach — Unlocking ML for Traditional Companies

Mircea Neagovici — Robotic Process Automation (RPA) and ML

Amelia & Filip — How Pandora Deploys ML Models into Production

Wojciech Zaremba — What Could Make AI Conscious?

Chris Mattmann — ML Applications on Earth, Mars, and Beyond

Piero Molino — The Secret Behind Building Successful Open Source Projects

Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit

Sean Gourley — NLP, National Defense, and Establishing Ground Truth

Peter Wang — Anaconda, Python, and Scientific Computing

Chris Anderson — Robocars, Drones, and WIRED Magazine

Adrien Treuille — Building Blazingly Fast Tools That People Love

Peter Norvig – Singularity Is in the Eye of the Beholder

Robert Nishihara — The State of Distributed Computing in ML

Ines & Sofie — Building Industrial-Strength NLP Pipelines

Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

Joaquin Candela — Definitions of Fairness

Richard Socher — The Challenges of Making ML Work in the Real World

Zack Chase Lipton — The Medical Machine Learning Landscape