The rapid ascent of large-scale artificial intelligence has provided neuroscience with a new set of powerful tools for modeling complex cognitive functions.

Researchers use molecular barcoding to discover that Alston’s singing mice evolved complex vocalizations through targeted tripling of neural projections.

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

A new paper examines the possible effects of two properties of receiver playing fields documented in studies of animal psychology -- habituation and neural adaptation -- on the efficacy of mate choice ...

Researchers discover decision-making signals in the brain's early sensory regions, suggesting bidirectional feedback loops ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Two breakthroughs emerge: Princeton's 3D-MIND integrates electronics into living brain cells, while Sabi's beanie claims to read thoughts non-invasively. Wearable vs. lab tech: Sabi targets consumers ...

ChatGPT has triggered an onslaught of artificial intelligence hype. The arrival of OpenAI’s large-language-model-powered (LLM-powered) chatbot forced leading tech companies to follow suit with similar ...

Your grade school teacher probably didn’t show you how to add 20-digit numbers. But if you know how to add smaller numbers, all you need is paper and pencil and a bit of patience. Start with the ones ...