The Gradient: Perspectives on AI

147 Odcinki

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

   Opublikowany: 26.05.2022
2. Yejin Choi: Teaching Machines Common Sense and Morality

   Opublikowany: 19.05.2022
3. David Chalmers on AI and Consciousness

   Opublikowany: 12.05.2022
4. Greg Yang on Communicating Research, Tensor Programs, and µTransfer

   Opublikowany: 28.04.2022
5. Nick Walton on AI Dungeon and the Future of AI in Games

   Opublikowany: 24.03.2022
6. Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment

   Opublikowany: 3.02.2022
7. Percy Liang on Machine Learning Robustness, Foundation Models, and Reproducibility

   Opublikowany: 27.01.2022
8. Eric Jang on Robots Learning at Google and Generalization via Language

   Opublikowany: 8.01.2022
9. Rishi Bommasani on Foundation Models

   Opublikowany: 9.12.2021
10. Upol Ehsan on Human-Centered Explainable AI and Social Transparency

    Opublikowany: 3.12.2021
11. Miles Brundage on AI Misuse and Trustworthy AI

    Opublikowany: 23.11.2021
12. Jeffrey Ding on China's AI Dream, the AI 'Arms Race', and AI as a General Purpose Technology

    Opublikowany: 18.11.2021
13. Alex Tamkin on Self-Supervised Learning and Large Language Models

    Opublikowany: 11.11.2021
14. Peter Henderson on RL Benchmarking, Climate Impacts of AI, and AI for Law

    Opublikowany: 28.10.2021
15. Chelsea Finn on Meta Learning & Model Based Reinforcement Learning

    Opublikowany: 14.10.2021
16. Devi Parikh on Generative Art & AI for Creativity

    Opublikowany: 1.10.2021
17. Sergey Levine on Robot Learning & Offline RL

    Opublikowany: 16.09.2021
18. Jeremy Howard on Kaggle, Enlitic, and fast.ai

    Opublikowany: 9.09.2021
19. Evan Hubinger on Effective Altruism and AI Safety

    Opublikowany: 3.09.2021
20. Yannic Kilcher on Being an AI Researcher and Educator

    Opublikowany: 27.08.2021