MIT spinoff Liquid debuts non-transformer AI models and they’re already state-of-the-art
Mechanistic Interpretability Panel Discussion
Fully forward mode training for optical neural networks - Nature
Kalmogorov-Arnold Neural Networks Shake Up How AI Is Done
TTT models might be the next frontier in generative AI | TechCrunch
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Just How Flexible are Neural Networks in Practice?
Neural Networks Learn Statistics of Increasing Complexity
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Inside the Underground Site Where ‘Neural Networks’ Churn Out Fake IDs
The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence | Journal of Artificial Intelligence Research
‘Mind-blowing’ IBM chip speeds up AI
Quantum neural network cost function concentration dependency on the parametrization expressivity
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Neural networks: from the perceptron to deep nets
Evidence of a predictive coding hierarchy in the human brain listening to speech - Nature Human Behaviour
Quantum reservoir computing using arrays of Rydberg atoms
A.I. is here, and it's making movies. Is Hollywood ready?
Human Language Understanding & Reasoning
Breaking the scaling limits of analog computing
Artificial Neural Networks Learn Better When They Spend Time Not Learning at All - Neuroscience News
Multilevel Development of Cognitive Abilities in an Artificial Neural Network
Floppy or not: AI predicts properties of complex metamaterials
Neural Networks are Decision Trees (w/ Alexander Mattick)
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Self-Taught AI May Have a Lot in Common With the Human Brain
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Interpreting Neural Networks through the Polytope Lens - LessWrong
How to make your CPU as fast as a GPU - Advances in Sparsity w/ Nir Shavit
How AI Transformers Mimic Parts of the Brain | Quanta Magazine
Stanford Seminar - Computing with Physical Systems