NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...

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Abstract: Generative diffusion models, famous for their performance in image generation, are useful in various cross-domain applications. However, their use in the communication community has been ...

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.

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

There are tough problems that every business faces, and they can slow things down, make budgets stretch, or put off decisions. It takes time to deal with these problems, and most businesses don’t have ...

Have you ever found yourself staring at an Excel spreadsheet, frustrated by a formula error you can’t untangle or a formatting glitch that refuses to cooperate? You ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...