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 ...

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

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

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

Many communication and graphics applications are computation-intensive, yet no one has paid much attention to optimizing the hardware that implements mathematical functions. Traditional implementation ...

There are, generally speaking, two types of people in the mathematical optimization software field: • Optimization solver developers: The technical experts who devise and implement the algorithms that ...