Gradient Dissent: Conversations on AI

117 Episodes

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

   Published: 4/8/2021
2. Vladlen Koltun — The Power of Simulation and Abstraction

   Published: 4/1/2021
3. Dominik Moritz — Building Intuitive Data Visualization Tools

   Published: 3/25/2021
4. Cade Metz — The Stories Behind the Rise of AI

   Published: 3/18/2021
5. Dave Selinger — AI and the Next Generation of Security Systems

   Published: 3/11/2021
6. Tim & Heinrich — Democraticizing Reinforcement Learning Research

   Published: 3/4/2021
7. Daphne Koller — Digital Biology and the Next Epoch of Science

   Published: 2/18/2021
8. Piero Molino — The Secret Behind Building Successful Open Source Projects

   Published: 2/11/2021
9. Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit

   Published: 2/5/2021
10. Sean Gourley — NLP, National Defense, and Establishing Ground Truth

    Published: 1/28/2021
11. Peter Wang — Anaconda, Python, and Scientific Computing

    Published: 1/22/2021
12. Chris Anderson — Robocars, Drones, and WIRED Magazine

    Published: 1/14/2021
13. Adrien Treuille — Building Blazingly Fast Tools That People Love

    Published: 12/4/2020
14. Peter Norvig – Singularity Is in the Eye of the Beholder

    Published: 11/20/2020
15. Robert Nishihara — The State of Distributed Computing in ML

    Published: 11/13/2020
16. Ines & Sofie — Building Industrial-Strength NLP Pipelines

    Published: 10/29/2020
17. Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

    Published: 10/16/2020
18. Joaquin Candela — Definitions of Fairness

    Published: 10/1/2020
19. Richard Socher — The Challenges of Making ML Work in the Real World

    Published: 9/29/2020
20. Zack Chase Lipton — The Medical Machine Learning Landscape

    Published: 9/17/2020