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 ...

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 ...

In a world saturated with algorithmic trading tools and off-the-shelf AI hype, Sókn Engineering is charting a radically different approach. At the center of this shift is Lagertha, a proprietary, ...

The original version of this story appeared in Quanta Magazine. Algorithms have become ubiquitous. They optimize our commutes, process payments, and coordinate the flow of internet traffic. It seems ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...

Alan Richard Champneys is on the scientific board of the Smith Institute for Industrial Mathematics and Systems Engineering, receives funding from the UK Engineering and Physical Sciences Research ...

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