Machine Learning Street Talk (MLST)

Podcast autorstwa Machine Learning Street Talk (MLST)

Kategorie:

Technologia

186 Odcinki

  1. ICLR 2020: Yoshua Bengio and the Nature of Consciousness

    Opublikowany: 22.05.2020

  2. ICLR 2020: Yann LeCun and Energy-Based Models

    Opublikowany: 19.05.2020

  3. The Lottery Ticket Hypothesis with Jonathan Frankle

    Opublikowany: 19.05.2020

  4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

    Opublikowany: 19.05.2020

  5. CURL: Contrastive Unsupervised Representations for Reinforcement Learning

    Opublikowany: 2.05.2020

  6. Exploring Open-Ended Algorithms: POET

    Opublikowany: 24.04.2020

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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/).

Visit the podcast's native language site