Machine Learning Street Talk (MLST)
Episodes 271 total
#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]
Special discount link for Zak's GNN course - https://bit.ly/3uqmYVq Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB YT version: htt…
#70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]
Today we are having a discussion with Letitia Parcalabescu from the AI Coffee Break youtube channel! We discuss linguistics, symbolic AI and our respective Yout…
#69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data
Today we are speaking with Dr. Thomas Lux, a research scientist at Meta in Silicon Valley. In some sense, all of supervised machine learning can be framed…
#68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]
Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/HNnAwSduud YT version: https://youtu.be/pMtk-iUaEuQ Dr. Walid Saba is an old-school polymath…
#67 Prof. KARL FRISTON 2.0
We engage in a bit of epistemic foraging with Prof. Karl Friston! In this show; we discuss the free energy principle in detail, also emergence, cognition, consc…
#66 ALEXANDER MATTICK - [Unplugged / Community Edition]
We have a chat with Alexander Mattick aka ZickZack from Yannic's Discord community. Alex is one of the leading voices in that community and has an impressive te…
#65 Prof. PEDRO DOMINGOS [Unplugged]
Note: there are no politics discussed in this show and please do not interpret this show as any kind of a political statement from us. We have decided not…
#64 Prof. Gary Marcus 3.0
Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/HNnAwSduud YT: https://www.youtube.com/watch?v=ZDY2nhkPZxw We have a chat with Prof. Gary Marc…
#063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality
We are now sponsored by Weights and Biases! Please visit our sponsor link: http://wandb.me/MLST Patreon: https://www.patreon.com/mlst For Yoshua Bengio, GFlowNe…
#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics
Dr. Guy Emerson is a computational linguist and obtained his Ph.D from Cambridge university where he is now a research fellow and lecturer. On panel we also hav…
061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
We are now sponsored by Weights and Biases! Please visit our sponsor link: http://wandb.me/MLST Patreon: https://www.patreon.com/mlst Yann LeCun thinks that it'…
#60 Geometric Deep Learning Blueprint (Special Edition)
Patreon: https://www.patreon.com/mlst The last decade has witnessed an experimental revolution in data science and machine learning, epitomised by deep learning…
#59 - Jeff Hawkins (Thousand Brains Theory)
Patreon: https://www.patreon.com/mlst The ultimate goal of neuroscience is to learn how the human brain gives rise to human intelligence and what it means to be…
#58 Dr. Ben Goertzel - Artificial General Intelligence
The field of Artificial Intelligence was founded in the mid 1950s with the aim of constructing “thinking machines” - that is to say, computer systems with human…
#57 - Prof. Melanie Mitchell - Why AI is harder than we think
Since its beginning in the 1950s, the field of artificial intelligence has vacillated between periods of optimistic predictions and massive investment and perio…
#56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)
It has been over three decades since the statistical revolution overtook AI by a storm and over two decades since deep learning (DL) helped usher the late…
#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).
Dr. Ishan Misra is a Research Scientist at Facebook AI Research where he works on Computer Vision and Machine Learning. His main research interest is reducing t…
#54 Gary Marcus and Luis Lamb - Neurosymbolic models
Professor Gary Marcus is a scientist, best-selling author, and entrepreneur. He is Founder and CEO of Robust.AI, and was Founder and CEO of Geometric Intel…
#53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)
Bob Coercke is a celebrated physicist, he's been a Physics and Quantum professor at Oxford University for the last 20 years. He is particularly interested in St…
#52 - Unadversarial Examples (Hadi Salman, MIT)
Performing reliably on unseen or shifting data distributions is a difficult challenge for modern vision systems, even slight corruptions or transformations of i…