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

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 ...

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Researchers at UCLA and UC Riverside have demonstrated a new approach that overcomes these hurdles to solve some of the most difficult optimization problems. The team designed a system that processes ...

Risk-taking, ambition and resilience are vital parts of becoming an entrepreneur or intrapreneur. However, in my experience, ...

As optimization progresses, MO-SHERPA identifies patterns in performance trends, surrogate model predictions, and the distribution of non-dominated solutions. Based on these insights, it adjusts its ...

Understand how digital twins and AI are reshaping manufacturing, providing virtual solutions for efficiency, cost savings, ...

Knowing when to end therapy is complex. Learn to navigate this crucial decision, avoid premature endings, and ensure your ...

If metrics become targets, it can negatively impact outcome. Lexi Coulter of Mediasmith explains why it pays to take a more ...