Gradient Dissent: Conversations on AI

120 Episodes

1. Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy

   Published: 12/16/2021
2. Sean & Greg — Biology and ML for Drug Discovery

   Published: 12/2/2021
3. Chris, Shawn, and Lukas — The Weights & Biases Journey

   Published: 11/5/2021
4. Pete Warden — Practical Applications of TinyML

   Published: 10/21/2021
5. Pieter Abbeel — Robotics, Startups, and Robotics Startups

   Published: 10/7/2021
6. Chris Albon — ML Models and Infrastructure at Wikimedia

   Published: 9/23/2021
7. Emily M. Bender — Language Models and Linguistics

   Published: 9/9/2021
8. Jeff Hammerbacher — From data science to biomedicine

   Published: 8/26/2021
9. Josh Bloom — The Link Between Astronomy and ML

   Published: 8/20/2021
10. Xavier Amatriain — Building AI-powered Primary Care

    Published: 7/30/2021
11. Spence Green — Enterprise-scale Machine Translation

    Published: 7/16/2021
12. Roger & DJ — The Rise of Big Data and CA's COVID-19 Response

    Published: 7/8/2021
13. Amelia & Filip — How Pandora Deploys ML Models into Production

    Published: 7/1/2021
14. Luis Ceze — Accelerating Machine Learning Systems

    Published: 6/24/2021
15. Matthew Davis — Bringing Genetic Insights to Everyone

    Published: 6/17/2021
16. Clément Delangue — The Power of the Open Source Community

    Published: 6/10/2021
17. Wojciech Zaremba — What Could Make AI Conscious?

    Published: 6/3/2021
18. Phil Brown — How IPUs are Advancing Machine Intelligence

    Published: 5/27/2021
19. Alyssa Simpson Rochwerger — Responsible ML in the Real World

    Published: 5/20/2021
20. Sean Taylor — Business Decision Problems

    Published: 5/13/2021