The Gradient: Perspectives on AI
En podkast av The Gradient - Torsdager
Kategorier:
143 Episoder
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Joel Lehman: Open-Endedness and Evolution through Large Models
Publisert: 22.9.2022 -
Andrew Feldman: Cerebras and AI Hardware
Publisert: 15.9.2022 -
Christopher Manning: Linguistics and the Development of NLP
Publisert: 8.9.2022 -
Jeff Clune: Genetic Algorithms, Quality-Diversity, Curiosity
Publisert: 1.9.2022 -
Catherine Olsson and Nelson Elhage: Anthropic, Understanding Transformers
Publisert: 26.8.2022 -
Been Kim: Interpretable Machine Learning
Publisert: 18.8.2022 -
Laura Weidinger: Ethical Risks, Harms, and Alignment of Large Language Models
Publisert: 5.8.2022 -
Sebastian Raschka: AI Education and Research
Publisert: 29.7.2022 -
Lt. General Jack Shanahan: AI in the DoD, Project Maven, and Bridging the Tech-DoD Gap
Publisert: 22.7.2022 -
Sara Hooker: Cohere For AI, the Hardware Lottery, and DL Tradeoffs
Publisert: 14.7.2022 -
Lukas Biewald: Crowdsourcing at CrowdFlower and ML Tooling at Weights & Biases
Publisert: 7.7.2022 -
Chip Huyen: Machine Learning Tools and Systems
Publisert: 30.6.2022 -
Preetum Nakkiran: An Empirical Theory of Deep Learning
Publisert: 24.6.2022 -
Max Woolf: Data Science at BuzzFeed and AI Content Generation
Publisert: 16.6.2022 -
Rosanne Liu: Paths in AI Research and ML Collective
Publisert: 10.6.2022 -
Ben Green: "Tech for Social Good" Needs to Do More
Publisert: 2.6.2022 -
Max Braun: Teaching Robots to Help People in their Everyday Lives
Publisert: 26.5.2022 -
Yejin Choi: Teaching Machines Common Sense and Morality
Publisert: 19.5.2022 -
David Chalmers on AI and Consciousness
Publisert: 12.5.2022 -
Greg Yang on Communicating Research, Tensor Programs, and µTransfer
Publisert: 28.4.2022
Deeply researched, technical interviews with experts thinking about AI and technology. Hosted, recorded, researched, and produced by Daniel Bashir. thegradientpub.substack.com