Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Artificial intelligence has moved from checking homework to attacking problems that professional mathematicians once treated ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Explore zero-one integer programming, a key method in logical problem-solving, using binary choices for optimal decisions in finance, production, and more.

It’s so new, it’s generally deemed pre-commercial. Revenues are above zero, but barley so. And rather than being normal sales ...

It remains an open question when a commercial quantum computer will emerge that can outperform classical (non-quantum) ...

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...

Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...

If you want to accentuate the importance of a problem, it seems sensible to explain how prevalent it is. Lots of people are at risk of Alzheimer’s disease. Lots of women carry a gene that makes them ...

In my consulting practice, innovation challenges that dogged teams having very good and experienced engineers for months or even years were resolved in a matter of days or hours. It was not magic; we ...