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 ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to ...

The world’s first neuromorphic supercomputer is moving closer to reality after researchers at Sandia National Laboratories ...

Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many ...

The University of Wisconsin Department of Mathematics and UW-iSchool partnered with the University Lectures Committee to host mathematician Cathy O’Neil Tuesday evening at the Fluno Center. O’Neil is ...

Recent advances in data mining and mathematical modelling have increasingly influenced the development of sophisticated algorithms across diverse application domains. By extracting hidden structures ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...