Gradient Dissent: Conversations on AI

107 Episodes

1. Luis Ceze — Accelerating Machine Learning Systems

   Published: 24/06/2021
2. Matthew Davis — Bringing Genetic Insights to Everyone

   Published: 17/06/2021
3. Clément Delangue — The Power of the Open Source Community

   Published: 10/06/2021
4. Wojciech Zaremba — What Could Make AI Conscious?

   Published: 3/06/2021
5. Phil Brown — How IPUs are Advancing Machine Intelligence

   Published: 27/05/2021
6. Alyssa Simpson Rochwerger — Responsible ML in the Real World

   Published: 20/05/2021
7. Sean Taylor — Business Decision Problems

   Published: 13/05/2021
8. Polly Fordyce — Microfluidic Platforms and Machine Learning

   Published: 29/04/2021
9. Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

   Published: 22/04/2021
10. Nimrod Shabtay — Deployment and Monitoring at Nanit

    Published: 15/04/2021
11. Chris Mattmann — ML Applications on Earth, Mars, and Beyond

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

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

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

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

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

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

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

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

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

    Published: 28/01/2021