AMD's MEXT acquisition is an efficiency upgrade for data centers, not a disruption to the AI memory market.

Scalable addressing of high-dimensional constrained combinatorial optimization problems is a challenge that arises in several science and engineering disciplines. Recent work introduced novel ...

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

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 ...

NP-hardness results indicate that finding exact optima and even sufficiently good approximate optima for worst-case instances of many optimization problems is probably out of reach for polynomial-time ...

You make decisions every day. Some are big, and some are small. But even the small decisions involve a great deal of complexity. Let me show you what I mean. Take something you probably do regularly: ...

Over the course of my 25-year career in the mathematical optimization software industry, I’ve lost count of how many times I’ve been asked this question: “Can you tell me what mathematical ...

Overview Quantum systems evaluate countless supply chain variables simultaneously, helping organizations solve complex ...