Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...

This video explores how neural networks evolved from early ideas about the brain into the foundation of modern deep learning. From Rosenblatt’s perceptron to GPUs and backpropagation, it traces the ...

Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its ...

A new machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, providing insights into ...

Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.

Researchers report building photonic computing chips that use light pulses to train spiking neural networks on robotic-control-style benchmark tasks, aiming to shift more of the learning workload from ...

Artificial intelligence can speed up and simplify time-consuming tasks through its ability to quickly spot patterns in data. By adding rule-based reasoning to the mix, neurosymbolic AI ups the ...

Increasingly, AI models are able make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does ...

People with post-traumatic stress disorder (PTSD) experience traumatic memories differently than other types of negative memories. A recent Nature Neuroscience study investigates the neural patterns ...