In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...

In this study, we focus on investigating a nonsmooth convex optimization problem involving the l 1-norm under a non-negative constraint, with the goal of developing an inverse-problem solver for image ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

Scanning electron microscopy (SEM) images are already a common staple of battery research. Now, they can be paired with a simple algorithm to enable better prediction of lithium metal battery ...

ABSTRACT: Recent advancements in generative AI and large language models (LLMs) have sparked new opportunities in surgical innovation. We present our prototype AI Surgical Assistant Prototype System, ...

The project aims to provide a faithful and efficient realization of their sweep-line based approach for triangulating simple polygons, including advanced optimizations and applications. This ...