Gradient Dissent: Conversations on AI

120 Épisodes

1. Polly Fordyce — Microfluidic Platforms and Machine Learning

   Publié: 29/04/2021
2. Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

   Publié: 22/04/2021
3. Nimrod Shabtay — Deployment and Monitoring at Nanit

   Publié: 15/04/2021
4. Chris Mattmann — ML Applications on Earth, Mars, and Beyond

   Publié: 08/04/2021
5. Vladlen Koltun — The Power of Simulation and Abstraction

   Publié: 01/04/2021
6. Dominik Moritz — Building Intuitive Data Visualization Tools

   Publié: 25/03/2021
7. Cade Metz — The Stories Behind the Rise of AI

   Publié: 18/03/2021
8. Dave Selinger — AI and the Next Generation of Security Systems

   Publié: 11/03/2021
9. Tim & Heinrich — Democraticizing Reinforcement Learning Research

   Publié: 04/03/2021
10. Daphne Koller — Digital Biology and the Next Epoch of Science

    Publié: 18/02/2021
11. Piero Molino — The Secret Behind Building Successful Open Source Projects

    Publié: 11/02/2021
12. Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit

    Publié: 05/02/2021
13. Sean Gourley — NLP, National Defense, and Establishing Ground Truth

    Publié: 28/01/2021
14. Peter Wang — Anaconda, Python, and Scientific Computing

    Publié: 22/01/2021
15. Chris Anderson — Robocars, Drones, and WIRED Magazine

    Publié: 14/01/2021
16. Adrien Treuille — Building Blazingly Fast Tools That People Love

    Publié: 04/12/2020
17. Peter Norvig – Singularity Is in the Eye of the Beholder

    Publié: 20/11/2020
18. Robert Nishihara — The State of Distributed Computing in ML

    Publié: 13/11/2020
19. Ines & Sofie — Building Industrial-Strength NLP Pipelines

    Publié: 29/10/2020
20. Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

    Publié: 16/10/2020