The Gradient: Perspectives on AI

147 Episodo

1. Gil Strang: Linear Algebra and Deep Learning

   Publicado: 17/8/2023
2. Anant Agarwal: AI for Education

   Publicado: 10/8/2023
3. Raphaël Millière: The Vector Grounding Problem and Self-Consciousness

   Publicado: 4/8/2023
4. Peli Grietzer: A Mathematized Philosophy of Literature

   Publicado: 27/7/2023
5. Ryan Drapeau: Battling Fraud with ML at Stripe

   Publicado: 20/7/2023
6. Shiv Rao: Enabling Better Patient Care with AI

   Publicado: 13/7/2023
7. Hugo Larochelle: Deep Learning as Science

   Publicado: 6/7/2023
8. Jeremie Harris: Realistic Alignment and AI Policy

   Publicado: 29/6/2023
9. Antoine Blondeau: Alpha Intelligence Capital and Investing in AI

   Publicado: 22/6/2023
10. Joon Park: Generative Agents and Human-Computer Interaction

    Publicado: 15/6/2023
11. Christoffer Holmgård: AI for Video Games

    Publicado: 8/6/2023
12. Riley Goodside: The Art and Craft of Prompt Engineering

    Publicado: 1/6/2023
13. Talia Ringer: Formal Verification and Deep Learning

    Publicado: 25/5/2023
14. Brigham Hyde: AI for Clinical Decision-Making

    Publicado: 18/5/2023
15. Scott Aaronson: Against AI Doomerism

    Publicado: 11/5/2023
16. Ted Underwood: Machine Learning and the Literary Imagination

    Publicado: 4/5/2023
17. Irene Solaiman: AI Policy and Social Impact

    Publicado: 27/4/2023
18. Drago Anguelov: Waymo and Autonomous Vehicles

    Publicado: 20/4/2023
19. Joanna Bryson: The Problems of Cognition

    Publicado: 13/4/2023
20. Daniel Situnayake: AI on the Edge

    Publicado: 6/4/2023