The Gradient: Perspectives on AI

143 Episodes

1. Ed Grefenstette: Language, Semantics, Cohere

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 10/27/2022
18. Zachary Lipton: Where Machine Learning Falls Short

    Published: 10/13/2022
19. Stuart Russell: The Foundations of Artificial Intelligence

    Published: 10/6/2022
20. Varun Ganapathi: AKASA, AI and Healthcare

    Published: 9/29/2022