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Navigating Progress in AI and Neuroscience

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Brian Cheung, MIT

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The Assembly Hypothesis:Emergent Computation and Learning in a rigorous model of the Brain
The Assembly Hypothesis:Emergent Computation and Learning in a rigorous model of the Brain
Dense Associative Memory in Machine Learning
Dense Associative Memory in Machine Learning
Jeff Dean (Google): Exciting Trends in Machine Learning
Jeff Dean (Google): Exciting Trends in Machine Learning
#AIMI23 | Session 2: Generative AI in Health
#AIMI23 | Session 2: Generative AI in Health
CBMM10 Panel: Research on Intelligence in the Age of AI
CBMM10 Panel: Research on Intelligence in the Age of AI
Elon Musk's Bionic Eyes Are Here.
Elon Musk's Bionic Eyes Are Here.
Necessity of complex numbers
Necessity of complex numbers
Neuroscience+AI can unlock hidden visual interface for the emotional brain | James DiCarlo | TEDxMIT
Neuroscience+AI can unlock hidden visual interface for the emotional brain | James DiCarlo | TEDxMIT
Lecture 2: Airplane Aerodynamics
Lecture 2: Airplane Aerodynamics
MIT Introduction to Deep Learning | 6.S191
MIT Introduction to Deep Learning | 6.S191
The Simplest Neural Model and a Hypothesis for Language
The Simplest Neural Model and a Hypothesis for Language
The World at MIT: Moungi Bawendi
The World at MIT: Moungi Bawendi
Statistical learning in human sensorimotor control
Statistical learning in human sensorimotor control
What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata
What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata
Photons and the loss of determinism
Photons and the loss of determinism
Here is how Transformers ended the tradition of Inductive Bias in Neural Nets
Here is how Transformers ended the tradition of Inductive Bias in Neural Nets
MIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention
MIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention
16. Learning: Support Vector Machines
16. Learning: Support Vector Machines
Building and Training Deep Learning Models in PyTorch
Building and Training Deep Learning Models in PyTorch
Bayes in the age of intelligent machines
Bayes in the age of intelligent machines
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