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.

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

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

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

A December 10–12 working group met to bring together researchers from two fields — neuromorphic computing and stochastic thermodynamics — to think about ways our built computers might replicate the ...

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 ...

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

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

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, ...