Gradient Dissent: Conversations on AI

120 Avsnitt

1. Polly Fordyce — Microfluidic Platforms and Machine Learning

   Publicerades: 2021-04-29
2. Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

   Publicerades: 2021-04-22
3. Nimrod Shabtay — Deployment and Monitoring at Nanit

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

   Publicerades: 2021-04-08
5. Vladlen Koltun — The Power of Simulation and Abstraction

   Publicerades: 2021-04-01
6. Dominik Moritz — Building Intuitive Data Visualization Tools

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

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

   Publicerades: 2021-03-11
9. Tim & Heinrich — Democraticizing Reinforcement Learning Research

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

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

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

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

    Publicerades: 2021-01-28
14. Peter Wang — Anaconda, Python, and Scientific Computing

    Publicerades: 2021-01-22
15. Chris Anderson — Robocars, Drones, and WIRED Magazine

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

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

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

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

    Publicerades: 2020-10-29
20. Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

    Publicerades: 2020-10-16