Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

Scientists are investigating how certain chemical compounds could form a bridge between traditional electronics and brain ...

A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...

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

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 ...

Brain-like AI computers demonstrate strong math capabilities, reshaping hardware design with enhanced energy efficiency and ...

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 ...

Research into alternative computer architectures is getting a new boost thanks to work by Sandia National Laboratories.

Believe it or not, our brains are much better thinkers than our personal computers are. But scientists hope to change that by creating "neuromorphic computers" to emulate the efficiency of the human ...

A good January day to you! There was major chip news last week, most of it coming out of the big CES show in Las Vegas, along ...

New research from Sandia National Laboratories suggests that brain-inspired neuromorphic computers are just as adept at ...

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 ...