The Gradient: Perspectives on AI
A podcast by The Gradient - Thursdays
Categories:
143 Episodes
-
Ed Grefenstette: Language, Semantics, Cohere
Published: 3/2/2023 -
Ken Liu: What Science Fiction Can Teach Us
Published: 2/23/2023 -
Hattie Zhou: Lottery Tickets and Algorithmic Reasoning in LLMs
Published: 2/16/2023 -
Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science
Published: 2/9/2023 -
Steve Miller: Will AI Take Your Job? It's Not So Simple.
Published: 2/2/2023 -
Blair Attard-Frost: Canada’s AI strategy and the ethics of AI business practices
Published: 1/26/2023 -
Linus Lee: At the Boundary of Machine and Mind
Published: 1/19/2023 -
Suresh Venkatasubramanian: An AI Bill of Rights
Published: 1/12/2023 -
Pete Florence: Dense Visual Representations, NeRFs, and LLMs for Robotics
Published: 1/5/2023 -
Melanie Mitchell: Abstraction and Analogy in AI
Published: 12/15/2022 -
Marc Bellemare: Distributional Reinforcement Learning
Published: 12/8/2022 -
François Chollet: Keras and Measures of Intelligence
Published: 12/1/2022 -
Yoshua Bengio: The Past, Present, and Future of Deep Learning
Published: 11/21/2022 -
Kanjun Qiu and Josh Albrecht: Generally Intelligent
Published: 11/17/2022 -
Nathan Benaich: The State of AI Report
Published: 11/10/2022 -
Matt Sheehan: China's AI Strategy and Governance
Published: 11/3/2022 -
Luis Voloch: AI and Biology
Published: 10/27/2022 -
Zachary Lipton: Where Machine Learning Falls Short
Published: 10/13/2022 -
Stuart Russell: The Foundations of Artificial Intelligence
Published: 10/6/2022 -
Varun Ganapathi: AKASA, AI and Healthcare
Published: 9/29/2022
Deeply researched, technical interviews with experts thinking about AI and technology. Hosted, recorded, researched, and produced by Daniel Bashir. thegradientpub.substack.com