Cory Merkel, assistant professor of computer engineering at Rochester Institute of Technology, will represent the university as one of five collegiate partners in the new Center of Neuromorphic ...

As artificial intelligence platforms like OpenAI's ChatGPT and Microsoft's Copilot go mainstream, power bills from their usage are exploding. In response, researchers are racing to build hardware that ...

A new study details soft neuromorphic electronics that conform to human tissue for ultra-low voltage health monitoring.

Apr. 29—Computer development has taken a wide path away from the silicon-based hardware we've grown accustomed to. Research has been conducted into various other ways of building even more efficient ...

Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...

Neuromorphic computing -- a field that applies principles of neuroscience to computing systems to mimic the brain's function and structure -- needs to scale up if it is to effectively compete with ...

The standard computer hardware we’ve relied on for decades is running into a wall. As AI models grow massively larger, ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a photonic spiking neural system. By enabling fast learning and decision making ...

Researchers at the University of Chicago have developed a stretchable computing patch that can ...

Scientists have taken a major step toward mimicking nature’s tiniest gateways by creating ultra-small pores that rival the dimensions of biological ion channels—just a few atoms wide. The breakthrough ...