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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
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Invariance and equivariance in brains and machines
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An overview of Generative AI: music, video and image creation
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Max Tegmark | On superhuman AI, future architectures, and the meaning of human existence
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How flies see motion: from the Reichardt detector to neural circuits
Dense Associative Memory in Machine Learning
Dense Associative Memory in Machine Learning
The moment we stopped understanding AI [AlexNet]
The moment we stopped understanding AI [AlexNet]
Beyond the Hype: A Realistic Look at Large Language Models • Jodie Burchell • GOTO 2024
Beyond the Hype: A Realistic Look at Large Language Models • Jodie Burchell • GOTO 2024
MIT Introduction to Deep Learning | 6.S191
MIT Introduction to Deep Learning | 6.S191
The Story of Shor's Algorithm, Straight From the Source | Peter Shor
The Story of Shor's Algorithm, Straight From the Source | Peter Shor
How fly neurons compute the direction of visual motion
How fly neurons compute the direction of visual motion
AI Pioneer Shows The Power of AI AGENTS 'The Future Is Agentic'
AI Pioneer Shows The Power of AI AGENTS 'The Future Is Agentic'
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The Debate Over “Understanding” in AI’s Large Language Models
Interview about AI Dr Alan D. Thompson on AI, Brain Machine Interfaces, + Intelligence (Aug/2024)
Interview about AI Dr Alan D. Thompson on AI, Brain Machine Interfaces, + Intelligence (Aug/2024)
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Deep Learning Bootcamp: Kaiming He
Jeff Dean (Google): Exciting Trends in Machine Learning
Jeff Dean (Google): Exciting Trends in Machine Learning
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CBMM10 Panel: Research on Intelligence in the Age of AI
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Statistical learning in human sensorimotor control
Has Generative AI Already Peaked? Computerphile
Has Generative AI Already Peaked? Computerphile
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The Simplest Neural Model and a Hypothesis for Language
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