Time feels like the most basic feature of reality. Seconds tick, days pass and everything from planetary motion to human memory seems to unfold along a single, irreversible direction. We are born and ...

Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.

How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...

Researchers documented the activity of neurons that shape directional navigation as bats explored a remote island off the ...

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

While it's true that many Canadians would benefit from more exercise and from improving the quality of their diet, research ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...

Deep learning has added a new dimension to engineering applications, from 5G signal processing to predictive maintenance in power grids. It automatically detects equipment failures and optimizes ...

Introduction: In the field of brain-computer interfaces (BCI), motor imagery (MI) classification is a critically important task, with the primary objective of decoding an individual's MI intentions ...