In the fast-evolving fields of artificial intelligence, operations research, and computational intelligence, metaheuristics ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

The Best Way Forward? When classical and quantum algorithms compete, they often do so on the battlefield of optimization, a field focused on finding the best options for solving a thorny problem.

A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.