The Gradient: Perspectives on AI

147 Episodes

1. Soumith Chintala: PyTorch

   Published: 30/03/2023
2. Sewon Min: The Science of Natural Language

   Published: 23/03/2023
3. Richard Socher: Re-Imagining Search

   Published: 16/03/2023
4. Joe Edelman: Meaning-Aligned AI

   Published: 9/03/2023
5. Ed Grefenstette: Language, Semantics, Cohere

   Published: 2/03/2023
6. Ken Liu: What Science Fiction Can Teach Us

   Published: 23/02/2023
7. Hattie Zhou: Lottery Tickets and Algorithmic Reasoning in LLMs

   Published: 16/02/2023
8. Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science

   Published: 9/02/2023
9. Steve Miller: Will AI Take Your Job? It's Not So Simple.

   Published: 2/02/2023
10. Blair Attard-Frost: Canada’s AI strategy and the ethics of AI business practices

    Published: 26/01/2023
11. Linus Lee: At the Boundary of Machine and Mind

    Published: 19/01/2023
12. Suresh Venkatasubramanian: An AI Bill of Rights

    Published: 12/01/2023
13. Pete Florence: Dense Visual Representations, NeRFs, and LLMs for Robotics

    Published: 5/01/2023
14. Melanie Mitchell: Abstraction and Analogy in AI

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

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

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

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

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

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

    Published: 3/11/2022