Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

A Japanese research team has successfully reproduced the human neural circuit in vitro using multi-region miniature organs ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

When you try to solve a math problem in your head or remember the things on your grocery list, you’re engaging in a complex neural balancing act — a process that, according to a new study by Brown ...