120 Episoder

  1. Polly Fordyce — Microfluidic Platforms and Machine Learning

    Publisert: 29.4.2021
  2. Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

    Publisert: 22.4.2021
  3. Nimrod Shabtay — Deployment and Monitoring at Nanit

    Publisert: 15.4.2021
  4. Chris Mattmann — ML Applications on Earth, Mars, and Beyond

    Publisert: 8.4.2021
  5. Vladlen Koltun — The Power of Simulation and Abstraction

    Publisert: 1.4.2021
  6. Dominik Moritz — Building Intuitive Data Visualization Tools

    Publisert: 25.3.2021
  7. Cade Metz — The Stories Behind the Rise of AI

    Publisert: 18.3.2021
  8. Dave Selinger — AI and the Next Generation of Security Systems

    Publisert: 11.3.2021
  9. Tim & Heinrich — Democraticizing Reinforcement Learning Research

    Publisert: 4.3.2021
  10. Daphne Koller — Digital Biology and the Next Epoch of Science

    Publisert: 18.2.2021
  11. Piero Molino — The Secret Behind Building Successful Open Source Projects

    Publisert: 11.2.2021
  12. Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit

    Publisert: 5.2.2021
  13. Sean Gourley — NLP, National Defense, and Establishing Ground Truth

    Publisert: 28.1.2021
  14. Peter Wang — Anaconda, Python, and Scientific Computing

    Publisert: 22.1.2021
  15. Chris Anderson — Robocars, Drones, and WIRED Magazine

    Publisert: 14.1.2021
  16. Adrien Treuille — Building Blazingly Fast Tools That People Love

    Publisert: 4.12.2020
  17. Peter Norvig – Singularity Is in the Eye of the Beholder

    Publisert: 20.11.2020
  18. Robert Nishihara — The State of Distributed Computing in ML

    Publisert: 13.11.2020
  19. Ines & Sofie — Building Industrial-Strength NLP Pipelines

    Publisert: 29.10.2020
  20. Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

    Publisert: 16.10.2020

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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.

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