A team led by engineers at the University of California San Diego has developed a new brain-inspired hardware platform that could help computer hardware keep pace with the explosive growth of ...

For how powerful today’s “smart” devices are, they’re not that good at working smarter rather than working harder. With AI constantly connected to the cloud and the chip constantly processing tasks ...

A team of engineers at The University of Texas at Dallas has developed a small-scale computer prototype that learns more like the human brain. The brain-inspired hardware can recognize patterns and ...

In an advancement for efficient and secure AI, researchers at the Technical University of Munich (TUM) have unveiled the AI Pro chip, a neuromorphic processor that functions independently of cloud ...

Researchers achieved wafer-scale, 95% yield memristor circuits, unlocking new potential for dense, efficient AI chips modeled on the human brain. The figure shows how researchers built and tested a ...

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired by the architecture of the human brain, are surprisingly adept at solving ...

AI hardware needs to become more brain-like to meet the growing energy demands of real-world applications, according to researchers. In a study published in Frontiers in Science, scientists from ...

One major issue facing artificial intelligence is the interaction between a computer's memory and its processing capabilities. When an algorithm is in operation, data flows rapidly between these two ...

Right now, AI is quickly transforming everything from content creation and cybersecurity to drug discovery and supply chains. But beneath all the buzz around ChatGPT, autonomous agents, and ...