The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...

Abstract: Accurate vehicle position information is crucial for a wide range of the Internet of Vehicles (IoV) applications. Conventional single-vehicle trackers cannot consistently deliver the ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...

Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

Understand the replacement chain method, a crucial capital budgeting tool for comparing projects with different life spans. Explore how it works, its requirements, and alternatives.

The theory that gravitons lose energy thru gravitational redshift while traveling against the force of a gravitational field ...

Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...

This repository provides the official implementation of QSVD, a method for efficient low-rank approximation that unifies Query-Key-Value (QKV) weight compression in low-precision Vision-Language ...