Machine Learning Street Talk (MLST)
En podkast av Machine Learning Street Talk (MLST)
Kategorier:
209 Episoder
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Tau Language: The Software Synthesis Future (sponsored)
Publisert: 12.3.2025 -
John Palazza - Vice President of Global Sales @ CentML ( sponsored)
Publisert: 10.3.2025 -
Transformers Need Glasses! - Federico Barbero
Publisert: 8.3.2025 -
Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu
Publisert: 1.3.2025 -
Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?
Publisert: 19.2.2025 -
Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?
Publisert: 18.2.2025 -
Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
Publisert: 12.2.2025 -
Sepp Hochreiter - LSTM: The Comeback Story?
Publisert: 12.2.2025 -
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero
Publisert: 8.2.2025 -
Nicholas Carlini (Google DeepMind)
Publisert: 25.1.2025 -
Subbarao Kambhampati - Do o1 models search?
Publisert: 23.1.2025 -
How Do AI Models Actually Think? - Laura Ruis
Publisert: 20.1.2025 -
Jurgen Schmidhuber on Humans co-existing with AIs
Publisert: 16.1.2025 -
Yoshua Bengio - Designing out Agency for Safe AI
Publisert: 15.1.2025 -
Francois Chollet - ARC reflections - NeurIPS 2024
Publisert: 9.1.2025 -
Jeff Clune - Agent AI Needs Darwin
Publisert: 4.1.2025 -
Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)
Publisert: 7.12.2024 -
Jonas Hübotter (ETH) - Test Time Inference
Publisert: 1.12.2024 -
How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)
Publisert: 25.11.2024 -
Nora Belrose - AI Development, Safety, and Meaning
Publisert: 17.11.2024
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
