Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains to ...

Physicists are developing an innovative approach that will significantly improve the energy efficiency of computers. They take their inspiration from the human brain. (Nanowerk News) The rapid ...

The brain is a great source of inspiration for Alexander Ororbia, an assistant professor of computer science and cognitive science at RIT. By mimicking how neurons in the brain learn, Ororbia is ...

Humanoid robots are starting to gain something that once belonged firmly in the realm of science fiction: a sense of pain.

Balancing electronic and ionic charge carriers in polymer nanofilms significantly improves physical reservoir computing, a ...

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 ...

A team of researchers from Texas A&M University, Sandia National Lab - Livermore, and Stanford University are taking lessons from the brain to design materials for more efficient computing. The new ...

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 ...

China’s latest neuromorphic project has pushed a once speculative idea into the realm of claimed reality: a monkey’s brain activity, recreated inside a supercomputer. The country’s researchers say ...