Machine Learning Street Talk (MLST)
En podcast af Machine Learning Street Talk (MLST)
Kategorier:
186 Episoder
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#84 LAURA RUIS - Large language models are not zero-shot communicators [NEURIPS UNPLUGGED]
Udgivet: 6.12.2022 -
#83 Dr. ANDREW LAMPINEN (Deepmind) - Natural Language, Symbols and Grounding [NEURIPS2022 UNPLUGGED]
Udgivet: 4.12.2022 -
#82 - Dr. JOSCHA BACH - Digital Physics, DL and Consciousness [UNPLUGGED]
Udgivet: 27.11.2022 -
#81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED]
Udgivet: 20.11.2022 -
#80 AIDAN GOMEZ [CEO Cohere] - Language as Software
Udgivet: 15.11.2022 -
#79 Consciousness and the Chinese Room [Special Edition] (CHOLLET, BISHOP, CHALMERS, BACH)
Udgivet: 8.11.2022 -
MLST #78 - Prof. NOAM CHOMSKY (Special Edition)
Udgivet: 8.7.2022 -
#77 - Vitaliy Chiley (Cerebras)
Udgivet: 16.6.2022 -
#76 - LUKAS BIEWALD (Weights and Biases CEO)
Udgivet: 9.6.2022 -
#75 - Emergence [Special Edition] with Dr. DANIELE GRATTAROLA
Udgivet: 29.4.2022 -
#74 Dr. ANDREW LAMPINEN - Symbolic behaviour in AI [UNPLUGGED]
Udgivet: 14.4.2022 -
#73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks
Udgivet: 7.4.2022 -
#72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity [UNPLUGGED]
Udgivet: 29.3.2022 -
#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]
Udgivet: 25.3.2022 -
#70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]
Udgivet: 19.3.2022 -
#69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data
Udgivet: 12.3.2022 -
#68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]
Udgivet: 7.3.2022 -
#67 Prof. KARL FRISTON 2.0
Udgivet: 2.3.2022 -
#66 ALEXANDER MATTICK - [Unplugged / Community Edition]
Udgivet: 28.2.2022 -
#65 Prof. PEDRO DOMINGOS [Unplugged]
Udgivet: 26.2.2022
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/).