The Gradient: Perspectives on AI

147 Folgen

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

   Vom: 11.1.2024
2. Eric Jang: AI is Good For You

   Vom: 4.1.2024
3. 2023 in AI, with Nathan Benaich

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

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

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

   Vom: 7.12.2023
7. Thomas Dietterich: From the Foundations

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

   Vom: 16.11.2023
9. Laurence Liew: AI Singapore

   Vom: 9.11.2023
10. Michael Levin & Adam Goldstein: Intelligence and its Many Scales

    Vom: 2.11.2023
11. Jonathan Frankle: From Lottery Tickets to LLMs

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

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

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

    Vom: 5.10.2023
15. Kevin K. Yang: Engineering Proteins with ML

    Vom: 28.9.2023
16. Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve

    Vom: 21.9.2023
17. Miles Grimshaw: Benchmark, LangChain, and Investing in AI

    Vom: 14.9.2023
18. Shreya Shankar: Machine Learning in the Real World

    Vom: 7.9.2023
19. Stevan Harnad: AI's Symbol Grounding Problem

    Vom: 31.8.2023
20. Terry Winograd: AI, HCI, Language, and Cognition

    Vom: 24.8.2023