Memristor-based chips could solve demanding optimization problems far faster and with less energy by replacing dense ...

This type of problem – known as a combinatorial optimization problem – lies at the heart of many challenges in science, technology, and business. A new German-Taiwanese research project involving TU ...

AI is likely to accelerate quantum computing well before quantum accelerates AI, making today's AI infrastructure providers a ...

Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

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, ...

In the combinatorial semi-bandit (CSB) problem, a player selects an action from a combinatorial action set and observes feedback from the base arms included in the action. While CSB is widely ...

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 ...