The human brain, with its remarkable general intelligence and exceptional efficiency in power consumption, serves as a constant inspiration and aspiration for the field of artificial intelligence.

A team led by engineers at the University of California San Diego has developed a new brain-inspired hardware platform that could help computer hardware keep pace with the explosive growth of ...

Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one ...

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 ...

Researchers developing next-generation computer systems at Rochester Institute of Technology are designing brain-inspired computer architectures using memristors that will have increased processing ...

Alfredo has a PhD in Astrophysics and a Master's in Quantum Fields and Fundamental Forces from Imperial College London. Alfredo has a PhD in Astrophysics and a Master's in Quantum Fields and ...

Intel has created the world’s largest neuromorphic computer, a device intended to mimic the operation of the human brain. The firm hopes that it will be able to run more sophisticated AI models than ...

When we learn a new skill, the brain has to decide—cell by cell—what to change. New research from MIT suggests it can do that ...

One major issue facing artificial intelligence is the interaction between a computer's memory and its processing capabilities. When an algorithm is in operation, data flows rapidly between these two ...

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 ...