Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...
New studies support the idea that the brain uses a process similar to a machine-learning approach known as 'self-supervised learning.' This type of machine learning allows computational models to ...
The new model developed by Flatiron Institute researchers proposes that biological neurons have more control over their surroundings than previously thought, something that could be replicated in the ...
How the brain loses consciousness under general anesthesia has long been a puzzle in neuroscience. Three of the most commonly used drugs—propofol, ketamine, and dexmedetomidine—act on entirely ...
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
Two University of Montana researchers are using advanced neural networks along with other things to improve climate models to help predict threats to coastal ar ...
This emerging category, often described as wetware computing, treats biology as an active component of digital architectures ...
Imagine a horse stumbling on a rock. It regains momentum, then hits bumpier terrain and slows to a walk. Back on steady ...
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