Gradient Dissent: Conversations on AI

Un pódcast de Lukas Biewald

Categorías:

115 Episodo

  1. Chris Albon — ML Models and Infrastructure at Wikimedia

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 13/5/2021
  16. Polly Fordyce — Microfluidic Platforms and Machine Learning

    Publicado: 29/4/2021
  17. Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

    Publicado: 22/4/2021
  18. Nimrod Shabtay — Deployment and Monitoring at Nanit

    Publicado: 15/4/2021
  19. Chris Mattmann — ML Applications on Earth, Mars, and Beyond

    Publicado: 8/4/2021
  20. Vladlen Koltun — The Power of Simulation and Abstraction

    Publicado: 1/4/2021

4 / 6

Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.

Visit the podcast's native language site