À propos de ce podcast
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…
270 épisodes · Technologie
Machine Learning Street Talk (MLST)
À propos de ce podcast
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…
Épisodes récents
- How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen1 oct. · 1 h 10 min
- Who Checks a Proof No Human Can Read? — Leo de Moura30 sept. · 1 h 14 min
- When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang26 sept. · 44 min
- How Deep Learning Finally Cracked Messy Tables - Frank Hutter23 sept. · 1 h 53 min
- Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick21 sept. · 2 h 14 min
- How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu15 sept. · 26 min
- Speech Recognition Is Not a Solved Problem — Pavan Kumar Reddy14 sept. · 1 h 42 min
- How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes11 sept. · 2 h 02 min
- AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen8 sept. · 1 h 30 min
- Designing How AI Grows — Tom McGrath2 sept. · 1 h 40 min
podlinkr.com/fr/machine-learning-street-talk-mlst
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