Machine Learning Street Talk (MLST)
A podcast by Machine Learning Street Talk (MLST)
240 Episodio
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MLST #78 - Prof. NOAM CHOMSKY (Special Edition)
Pubblicato: 08/07/2022 -
#77 - Vitaliy Chiley (Cerebras)
Pubblicato: 16/06/2022 -
#76 - LUKAS BIEWALD (Weights and Biases CEO)
Pubblicato: 09/06/2022 -
#75 - Emergence [Special Edition] with Dr. DANIELE GRATTAROLA
Pubblicato: 29/04/2022 -
#74 Dr. ANDREW LAMPINEN - Symbolic behaviour in AI [UNPLUGGED]
Pubblicato: 14/04/2022 -
#73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks
Pubblicato: 07/04/2022 -
#72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity [UNPLUGGED]
Pubblicato: 29/03/2022 -
#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]
Pubblicato: 25/03/2022 -
#70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]
Pubblicato: 19/03/2022 -
#69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data
Pubblicato: 12/03/2022 -
#68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]
Pubblicato: 07/03/2022 -
#67 Prof. KARL FRISTON 2.0
Pubblicato: 02/03/2022 -
#66 ALEXANDER MATTICK - [Unplugged / Community Edition]
Pubblicato: 28/02/2022 -
#65 Prof. PEDRO DOMINGOS [Unplugged]
Pubblicato: 26/02/2022 -
#64 Prof. Gary Marcus 3.0
Pubblicato: 24/02/2022 -
#063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality
Pubblicato: 22/02/2022 -
#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics
Pubblicato: 03/02/2022 -
061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
Pubblicato: 04/01/2022 -
Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)
Pubblicato: 31/10/2021 -
#60 Geometric Deep Learning Blueprint (Special Edition)
Pubblicato: 19/09/2021
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/).
