Neuromorphic engineering is a cutting-edge field that focuses on developing computer hardware and software systems inspired by the structure, function, and behavior of the human brain. The ultimate ...

Perovskites, named after a mineral discovered in the Urals in the 19th century, are compounds with the chemical formula ABX 3, where A and B are positively charged metal ions and X is a negatively ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

An international team comprised of 23 researchers has published a review article on the future of neuromorphic computing that examines the state of neuromorphic technology and presents a strategy for ...

In July, a group of artificial intelligence researchers showcased a self-driving bicycle that could navigate around obstacles, follow a person, and respond to voice commands. While the self-driving ...

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 ...

Computer scientists often assume that the brain works by approximations, and therefore that computing hardware inspired by the brain won’t be as good at complex math as traditional hardware.

Dr. Joseph S. Friedman and his colleagues at The University of Texas at Dallas created a computer prototype that learns patterns and makes predictions using fewer training computations than ...

Neural networks are some of the most important tools in AI. So far, they run on traditional processors in the form of adaptive software, but experts are working on an alternative concept, the ...