Gradient Dissent: Conversations on AI

117 Episodes

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

   Published: 8/04/2021
2. Vladlen Koltun — The Power of Simulation and Abstraction

   Published: 1/04/2021
3. Dominik Moritz — Building Intuitive Data Visualization Tools

   Published: 25/03/2021
4. Cade Metz — The Stories Behind the Rise of AI

   Published: 18/03/2021
5. Dave Selinger — AI and the Next Generation of Security Systems

   Published: 11/03/2021
6. Tim & Heinrich — Democraticizing Reinforcement Learning Research

   Published: 4/03/2021
7. Daphne Koller — Digital Biology and the Next Epoch of Science

   Published: 18/02/2021
8. Piero Molino — The Secret Behind Building Successful Open Source Projects

   Published: 11/02/2021
9. Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit

   Published: 5/02/2021
10. Sean Gourley — NLP, National Defense, and Establishing Ground Truth

    Published: 28/01/2021
11. Peter Wang — Anaconda, Python, and Scientific Computing

    Published: 22/01/2021
12. Chris Anderson — Robocars, Drones, and WIRED Magazine

    Published: 14/01/2021
13. Adrien Treuille — Building Blazingly Fast Tools That People Love

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

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

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

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

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

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

    Published: 29/09/2020
20. Zack Chase Lipton — The Medical Machine Learning Landscape

    Published: 17/09/2020