The Gradient: Perspectives on AI

147 Avsnitt

1. Max Braun: Teaching Robots to Help People in their Everyday Lives

   Publicerades: 2022-05-26
2. Yejin Choi: Teaching Machines Common Sense and Morality

   Publicerades: 2022-05-19
3. David Chalmers on AI and Consciousness

   Publicerades: 2022-05-12
4. Greg Yang on Communicating Research, Tensor Programs, and µTransfer

   Publicerades: 2022-04-28
5. Nick Walton on AI Dungeon and the Future of AI in Games

   Publicerades: 2022-03-24
6. Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment

   Publicerades: 2022-02-03
7. Percy Liang on Machine Learning Robustness, Foundation Models, and Reproducibility

   Publicerades: 2022-01-27
8. Eric Jang on Robots Learning at Google and Generalization via Language

   Publicerades: 2022-01-08
9. Rishi Bommasani on Foundation Models

   Publicerades: 2021-12-09
10. Upol Ehsan on Human-Centered Explainable AI and Social Transparency

    Publicerades: 2021-12-03
11. Miles Brundage on AI Misuse and Trustworthy AI

    Publicerades: 2021-11-23
12. Jeffrey Ding on China's AI Dream, the AI 'Arms Race', and AI as a General Purpose Technology

    Publicerades: 2021-11-18
13. Alex Tamkin on Self-Supervised Learning and Large Language Models

    Publicerades: 2021-11-11
14. Peter Henderson on RL Benchmarking, Climate Impacts of AI, and AI for Law

    Publicerades: 2021-10-28
15. Chelsea Finn on Meta Learning & Model Based Reinforcement Learning

    Publicerades: 2021-10-14
16. Devi Parikh on Generative Art & AI for Creativity

    Publicerades: 2021-10-01
17. Sergey Levine on Robot Learning & Offline RL

    Publicerades: 2021-09-16
18. Jeremy Howard on Kaggle, Enlitic, and fast.ai

    Publicerades: 2021-09-09
19. Evan Hubinger on Effective Altruism and AI Safety

    Publicerades: 2021-09-03
20. Yannic Kilcher on Being an AI Researcher and Educator

    Publicerades: 2021-08-27