(www.nag.com; www.nag.co.uk; www.nag-gc.com; www.nag-j.co.jp) Worldwide electronic engineers seeking the most appropriate way to solve difficult optimization problems can get easy to follow ...

Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More It’s widely known that quantum computers are well suited for solving ...

Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is optimization.

We investigate risk-averse stochastic optimization problems with a risk-shaping constraint in the form of a stochastic-order relation. Both univariate and multivariate orders are considered. We extend ...

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

Annealing processors are more energy efficient and quicker at solving mathematical optimization problems than PCs. Researchers at Tokyo University of Science have now developed a new approach to ...

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.

There’s an old saying: When the only tool you have is a hammer, every problem looks like a nail. Sometimes referred to as “the law of the instrument,” that hammer-and-nail idea is a common pitfall in ...

By deploying "digital teammates" like The Ottawa Hospital's Sophie, AI can handle routine tasks, freeing clinicians to focus ...