At its core, most AI systems today use neural networks. These networks are composed of nodes (akin to neurons) connected by ...

In the rapid development of cloud computing technology, resource management and optimization have become crucial aspects ...

With AI, “we are in the process not of re-creating human biology,” said Thomas Naselaris, a neuroscientist at the University ...

But there is growing evidence that different kinds of stimuli, including physical movement, can help us to refine how our ...

This has implications for the "winner-takes-all" principle of neuroscience – an idea applied in computational models of ...

Artificial intelligence (AI) is shaping the future of health care, offering new tools for earlier diagnosis of disease and more precise tracking of treatment outcomes. In a new Yale-led study, ...

A new study explores how brain networks differ between patients in early and chronic stages of psychosis, shedding light on symptom evolution.

Work on deep residual learning is most-cited since 2000 and may become the top of the all-time list within five years, Nature analysis finds The most-cited scientific paper of the 21st century was ...

Triggered Hardware Trojan Attack on Spiking Neural Networks” was published by researchers at Sorbonne Universite, CNRS and ...

Another research line that Rus is excited about to make robots smarter was inspired by the development of large language ...

Breakthrough light-powered chip speeds up AI training and reduces energy consumption. Engineers at Penn have developed the ...