Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

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.

German scientists are building a brain-like neuromorphic computer that replaces traditional transistors with microscopic LEDs, in order to significantly reduce the power required to run AI systems.

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 ...

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 ...

An interdisciplinary team of researchers are working on a radically new kind of computer called a neuromorphic computer, inspired by the human brain. Mock-up of a quantum photonic device, which could ...

One such effort is underway at the University of Texas at Dallas. Working with Texas Instruments and Arizona-based Everspin Technologies, scientists there have built a small neuromorphic computer ...

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 ...

BUFFALO, N.Y. — 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 ...