Gradient Dissent: Conversations on AI

120 Folgen

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

   Vom: 16.12.2021
2. Sean & Greg — Biology and ML for Drug Discovery

   Vom: 2.12.2021
3. Chris, Shawn, and Lukas — The Weights & Biases Journey

   Vom: 5.11.2021
4. Pete Warden — Practical Applications of TinyML

   Vom: 21.10.2021
5. Pieter Abbeel — Robotics, Startups, and Robotics Startups

   Vom: 7.10.2021
6. Chris Albon — ML Models and Infrastructure at Wikimedia

   Vom: 23.9.2021
7. Emily M. Bender — Language Models and Linguistics

   Vom: 9.9.2021
8. Jeff Hammerbacher — From data science to biomedicine

   Vom: 26.8.2021
9. Josh Bloom — The Link Between Astronomy and ML

   Vom: 20.8.2021
10. Xavier Amatriain — Building AI-powered Primary Care

    Vom: 30.7.2021
11. Spence Green — Enterprise-scale Machine Translation

    Vom: 16.7.2021
12. Roger & DJ — The Rise of Big Data and CA's COVID-19 Response

    Vom: 8.7.2021
13. Amelia & Filip — How Pandora Deploys ML Models into Production

    Vom: 1.7.2021
14. Luis Ceze — Accelerating Machine Learning Systems

    Vom: 24.6.2021
15. Matthew Davis — Bringing Genetic Insights to Everyone

    Vom: 17.6.2021
16. Clément Delangue — The Power of the Open Source Community

    Vom: 10.6.2021
17. Wojciech Zaremba — What Could Make AI Conscious?

    Vom: 3.6.2021
18. Phil Brown — How IPUs are Advancing Machine Intelligence

    Vom: 27.5.2021
19. Alyssa Simpson Rochwerger — Responsible ML in the Real World

    Vom: 20.5.2021
20. Sean Taylor — Business Decision Problems

    Vom: 13.5.2021