US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

When you buy through links on our articles, Future and its syndication partners may earn a commission. Although neuromorphic computing was first proposed by scientist Carver Mead in the late 1980s, it ...

Efforts to build brain-inspired computer hardware have been underway for decades, but the field has yet to have its breakout moment. Now, leading researchers say the time is ripe to start building the ...

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 ...

QUT Centre for Robotics researchers have developed a new robot navigation system. Locational Encoding with Neuromorphic Systems (LENS) is set to transform how autonomous robots operate. At its core, ...

Joseph Friedman, associate professor of electrical and computer engineering at the University of Texas at Dallas, uses a probe station to test small neuromorphic devices. Friedman has developed a ...

A December 10–12 working group met to bring together researchers from two fields — neuromorphic computing and stochastic ...

It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and cognitive. That ...

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 ...