A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

In this graduate-level course, we will be covering advanced topics in combinatorial optimization. We will start with matchings and cover many results, extending the fundamental results of matchings, ...

Toshiba Corporation and MIRISE Technologies have demonstrated the first deployment of a quantum‑inspired optimization ...

Combinatorial optimisation is a fundamental field in applied mathematics and computer science that focuses on finding an optimal object from a finite set of objects. In this context, problems are ...

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

Combinatorial optimisation is a central field in applied mathematics and computer science that focuses on selecting the best solution from a finite, yet often extremely large, set of alternatives.

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by researchers at Microsoft Research, Barclays and University of Cambridge.

Dielectric materials be categorized into four types depending on the hysteresis loops they exhibit: paraelectric (PE), ferroelectric (FE), relaxor ferroelectric (RFE), and antiferroelectric (AFE).

Japanese firms Toshiba and MIRISE Technologies have demonstrated a breakthrough in autonomous mobility. The ...