Machine Learning Street Talk (MLST)
Podcast tekijän mukaan Machine Learning Street Talk (MLST)
Kategoriat:
216 Jaksot
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How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)
Julkaistiin: 8.4.2025 -
Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
Julkaistiin: 2.4.2025 -
The Compendium - Connor Leahy and Gabriel Alfour
Julkaistiin: 30.3.2025 -
ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
Julkaistiin: 24.3.2025 -
Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)
Julkaistiin: 22.3.2025 -
GSMSymbolic paper - Iman Mirzadeh (Apple)
Julkaistiin: 19.3.2025 -
Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)
Julkaistiin: 18.3.2025 -
Tau Language: The Software Synthesis Future (sponsored)
Julkaistiin: 12.3.2025 -
John Palazza - Vice President of Global Sales @ CentML ( sponsored)
Julkaistiin: 10.3.2025 -
Transformers Need Glasses! - Federico Barbero
Julkaistiin: 8.3.2025 -
Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu
Julkaistiin: 1.3.2025 -
Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?
Julkaistiin: 19.2.2025 -
Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?
Julkaistiin: 18.2.2025 -
Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
Julkaistiin: 12.2.2025 -
Sepp Hochreiter - LSTM: The Comeback Story?
Julkaistiin: 12.2.2025 -
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero
Julkaistiin: 8.2.2025 -
Nicholas Carlini (Google DeepMind)
Julkaistiin: 25.1.2025 -
Subbarao Kambhampati - Do o1 models search?
Julkaistiin: 23.1.2025 -
How Do AI Models Actually Think? - Laura Ruis
Julkaistiin: 20.1.2025 -
Jurgen Schmidhuber on Humans co-existing with AIs
Julkaistiin: 16.1.2025
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/).
