The Gradient: Perspectives on AI

147 Episoade

1. Soumith Chintala: PyTorch

   Publicat: 30.03.2023
2. Sewon Min: The Science of Natural Language

   Publicat: 23.03.2023
3. Richard Socher: Re-Imagining Search

   Publicat: 16.03.2023
4. Joe Edelman: Meaning-Aligned AI

   Publicat: 09.03.2023
5. Ed Grefenstette: Language, Semantics, Cohere

   Publicat: 02.03.2023
6. Ken Liu: What Science Fiction Can Teach Us

   Publicat: 23.02.2023
7. Hattie Zhou: Lottery Tickets and Algorithmic Reasoning in LLMs

   Publicat: 16.02.2023
8. Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science

   Publicat: 09.02.2023
9. Steve Miller: Will AI Take Your Job? It's Not So Simple.

   Publicat: 02.02.2023
10. Blair Attard-Frost: Canada’s AI strategy and the ethics of AI business practices

    Publicat: 26.01.2023
11. Linus Lee: At the Boundary of Machine and Mind

    Publicat: 19.01.2023
12. Suresh Venkatasubramanian: An AI Bill of Rights

    Publicat: 12.01.2023
13. Pete Florence: Dense Visual Representations, NeRFs, and LLMs for Robotics

    Publicat: 05.01.2023
14. Melanie Mitchell: Abstraction and Analogy in AI

    Publicat: 15.12.2022
15. Marc Bellemare: Distributional Reinforcement Learning

    Publicat: 08.12.2022
16. François Chollet: Keras and Measures of Intelligence

    Publicat: 01.12.2022
17. Yoshua Bengio: The Past, Present, and Future of Deep Learning

    Publicat: 21.11.2022
18. Kanjun Qiu and Josh Albrecht: Generally Intelligent

    Publicat: 17.11.2022
19. Nathan Benaich: The State of AI Report

    Publicat: 10.11.2022
20. Matt Sheehan: China's AI Strategy and Governance

    Publicat: 03.11.2022