The Gradient: Perspectives on AI

147 Episodo

1. Soumith Chintala: PyTorch

   Publicado: 30/3/2023
2. Sewon Min: The Science of Natural Language

   Publicado: 23/3/2023
3. Richard Socher: Re-Imagining Search

   Publicado: 16/3/2023
4. Joe Edelman: Meaning-Aligned AI

   Publicado: 9/3/2023
5. Ed Grefenstette: Language, Semantics, Cohere

   Publicado: 2/3/2023
6. Ken Liu: What Science Fiction Can Teach Us

   Publicado: 23/2/2023
7. Hattie Zhou: Lottery Tickets and Algorithmic Reasoning in LLMs

   Publicado: 16/2/2023
8. Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science

   Publicado: 9/2/2023
9. Steve Miller: Will AI Take Your Job? It's Not So Simple.

   Publicado: 2/2/2023
10. Blair Attard-Frost: Canada’s AI strategy and the ethics of AI business practices

    Publicado: 26/1/2023
11. Linus Lee: At the Boundary of Machine and Mind

    Publicado: 19/1/2023
12. Suresh Venkatasubramanian: An AI Bill of Rights

    Publicado: 12/1/2023
13. Pete Florence: Dense Visual Representations, NeRFs, and LLMs for Robotics

    Publicado: 5/1/2023
14. Melanie Mitchell: Abstraction and Analogy in AI

    Publicado: 15/12/2022
15. Marc Bellemare: Distributional Reinforcement Learning

    Publicado: 8/12/2022
16. François Chollet: Keras and Measures of Intelligence

    Publicado: 1/12/2022
17. Yoshua Bengio: The Past, Present, and Future of Deep Learning

    Publicado: 21/11/2022
18. Kanjun Qiu and Josh Albrecht: Generally Intelligent

    Publicado: 17/11/2022
19. Nathan Benaich: The State of AI Report

    Publicado: 10/11/2022
20. Matt Sheehan: China's AI Strategy and Governance

    Publicado: 3/11/2022