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.

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

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

A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...

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

As the demand for artificial intelligence continues to grow, the limitations of traditional von Neumann architecture in terms of energy efficiency and ...

The 10 trends are ranked by Juniper Research by the impact they are expected to make. The paper cites 2026 as an important ...

Caption Researchers Brad Theilman, center, and Felix Wang, behind, unpack a neuromorphic computing core at Sandia National Laboratories. While the hardware might look similar to a regular computer, ...

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 with other interesting developments, here’s a fast (11:10) run-down of ...