Gradient Dissent: Conversations on AI

120 Episodo

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 13/5/2021