The Gradient: Perspectives on AI

146 Episodes

1. Sewon Min: The Science of Natural Language

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

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

   Published: 3/9/2023
4. Ed Grefenstette: Language, Semantics, Cohere

   Published: 3/2/2023
5. Ken Liu: What Science Fiction Can Teach Us

   Published: 2/23/2023
6. Hattie Zhou: Lottery Tickets and Algorithmic Reasoning in LLMs

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

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

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

   Published: 1/26/2023
10. Linus Lee: At the Boundary of Machine and Mind

    Published: 1/19/2023
11. Suresh Venkatasubramanian: An AI Bill of Rights

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

    Published: 1/5/2023
13. Melanie Mitchell: Abstraction and Analogy in AI

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

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

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

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

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

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

    Published: 11/3/2022
20. Luis Voloch: AI and Biology

    Published: 10/27/2022