The ancient Greek philosopher and polymath Aristotle once concluded that the human heart is tri-chambered and that it was the ...

Why do our mental images stay sharp even when we are moving fast? A team of neuroscientists led by Professor Maximilian Jösch ...

According to Jean-Rémi King, leader of Meta’s “Brain & AI” research team, the system is able to determine what letter a ...

Princeton's John Hopfield, the 2024 Nobel Laureate in Physics, and alumnus Fei-Fei Li of the Class of 1999 were two of seven ...

Advancements could enhance perceptual capabilities in robotics. Artificially engineered biological processes, such as ...

The Chinese firm has pulled back the curtain to expose how the top labs may be building their next-generation models. Now ...

This repository demonstrates MNIST digit classification using deep learning. It includes a neural network model built with frameworks like TensorFlow to classify handwritten digits (0-9) from the ...

A cornerstone of neural network computation is the concept of weights, which represent the “strength” or “importance” of each neuron’s connection in the network. NPUs integrate these weights directly ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

These hairs convert vibrations from sound waves into neural signals that your auditory nerve carries to your brain. Exposure to sounds louder than 85 decibels can damage these hairs. Eighty-five ...