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Navigating Progress in AI and Neuroscience
MITCBMM
Feb 2, 2024
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The Assembly Hypothesis:Emergent Computation and Learning in a rigorous model of the Brain
Dense Associative Memory in Machine Learning
Parables on the Power of Planning in AI: From Poker to Diplomacy: Noam Brown (OpenAI)
The Most Important Algorithm in Machine Learning
An overview of Generative AI: music, video and image creation
What Is an AI Anyway? | Mustafa Suleyman | TED
Invariance and equivariance in brains and machines
MIT Introduction to Deep Learning | 6.S191
Meet the Mind: The Brain Behind Shor’s Algorithm
Generative AI in a Nutshell - how to survive and thrive in the age of AI
The Debate Over “Understanding” in AI’s Large Language Models
Prof. Geoffrey Hinton - "Will digital intelligence replace biological intelligence?" Romanes Lecture
Emergent Computation and Learning with Assemblies of Neurons
What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata
But what is a neural network? | Chapter 1, Deep learning
Language Models as World Models
#AIMI23 | Session 2: Generative AI in Health
Towards Understanding the Implicit Regularization Effect of SGD
Lecture 1: Data-Centric AI vs. Model-Centric AI
Jim Fan on Nvidia’s Embodied AI Lab and Jensen Huang’s Prediction that All Robots will be Autonomous