The Gradient: Perspectives on AI

147 Episoade

1. Harvey Lederman: Propositional Attitudes and Reference in Language Models

   Publicat: 11.01.2024
2. Eric Jang: AI is Good For You

   Publicat: 04.01.2024
3. 2023 in AI, with Nathan Benaich

   Publicat: 28.12.2023
4. Kathleen Fisher: DARPA and AI for National Security

   Publicat: 21.12.2023
5. Peter Tse: The Neuroscience of Consciousness and Free Will

   Publicat: 14.12.2023
6. Vera Liao: AI Explainability and Transparency

   Publicat: 07.12.2023
7. Thomas Dietterich: From the Foundations

   Publicat: 30.11.2023
8. Martin Wattenberg: ML Visualization and Interpretability

   Publicat: 16.11.2023
9. Laurence Liew: AI Singapore

   Publicat: 09.11.2023
10. Michael Levin & Adam Goldstein: Intelligence and its Many Scales

    Publicat: 02.11.2023
11. Jonathan Frankle: From Lottery Tickets to LLMs

    Publicat: 26.10.2023
12. Nao Tokui: "Surfing" Musical Creativity with AI

    Publicat: 19.10.2023
13. Divyansh Kaushik: The Realities of AI Policy

    Publicat: 12.10.2023
14. Tal Linzen: Psycholinguistics and Language Modeling

    Publicat: 05.10.2023
15. Kevin K. Yang: Engineering Proteins with ML

    Publicat: 28.09.2023
16. Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve

    Publicat: 21.09.2023
17. Miles Grimshaw: Benchmark, LangChain, and Investing in AI

    Publicat: 14.09.2023
18. Shreya Shankar: Machine Learning in the Real World

    Publicat: 07.09.2023
19. Stevan Harnad: AI's Symbol Grounding Problem

    Publicat: 31.08.2023
20. Terry Winograd: AI, HCI, Language, and Cognition

    Publicat: 24.08.2023