Engineers at Toshiba and MIRISE report embedding a quantum-inspired optimization system directly onto a mobile robot, ...

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

Two Japanese firms embed quantum-inspired tech in a robot, enabling faster real-time tracking and smarter movement.

As generative AI pushes power grids to their limits, the industry largely favours incremental measures that fail to address underlying issues. The path towards sustainable AI lies in combining quantum ...

VectorCertain’s 55-patent ecosystem is organized in a three-layer hub-and-spoke architecture where authority flows from governance hubs down through application spokes. This structure ensures that no ...

Adaptive Large Neighborhood Search (ALNS) remains a dominant metaheuristic for vehicle routing, yet the design of its destroy and repair operators relies heavily on manual engineering. Although Neural ...

This repository contains code relating to the paper "A Combinatorial Branch-and-Bound Algorithm for the Capacitated Facility Location Problem under Strict Customer Preferences" by Christina Büsing, ...

Abstract: Knowledge transfer-based evolutionary optimization has garnered significant attention, such as in multitask evolutionary optimization (MTEO), which aims to solve complex problems by ...

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.

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 ...