Gradient Dissent: Conversations on AI

En podcast af Lukas Biewald - Torsdage

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114 Episoder

  1. Emily M. Bender — Language Models and Linguistics

    Udgivet: 9.9.2021
  2. Jeff Hammerbacher — From data science to biomedicine

    Udgivet: 26.8.2021
  3. Josh Bloom — The Link Between Astronomy and ML

    Udgivet: 20.8.2021
  4. Xavier Amatriain — Building AI-powered Primary Care

    Udgivet: 30.7.2021
  5. Spence Green — Enterprise-scale Machine Translation

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

    Udgivet: 8.7.2021
  7. Amelia & Filip — How Pandora Deploys ML Models into Production

    Udgivet: 1.7.2021
  8. Luis Ceze — Accelerating Machine Learning Systems

    Udgivet: 24.6.2021
  9. Matthew Davis — Bringing Genetic Insights to Everyone

    Udgivet: 17.6.2021
  10. Clément Delangue — The Power of the Open Source Community

    Udgivet: 10.6.2021
  11. Wojciech Zaremba — What Could Make AI Conscious?

    Udgivet: 3.6.2021
  12. Phil Brown — How IPUs are Advancing Machine Intelligence

    Udgivet: 27.5.2021
  13. Alyssa Simpson Rochwerger — Responsible ML in the Real World

    Udgivet: 20.5.2021
  14. Sean Taylor — Business Decision Problems

    Udgivet: 13.5.2021
  15. Polly Fordyce — Microfluidic Platforms and Machine Learning

    Udgivet: 29.4.2021
  16. Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

    Udgivet: 22.4.2021
  17. Nimrod Shabtay — Deployment and Monitoring at Nanit

    Udgivet: 15.4.2021
  18. Chris Mattmann — ML Applications on Earth, Mars, and Beyond

    Udgivet: 8.4.2021
  19. Vladlen Koltun — The Power of Simulation and Abstraction

    Udgivet: 1.4.2021
  20. Dominik Moritz — Building Intuitive Data Visualization Tools

    Udgivet: 25.3.2021

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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