Distributed algorithms for graph problems represent a vibrant area of study that addresses the challenges of decentralised computation across interconnected networks. By partitioning complex graph ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...
An innovative algorithm for detecting collisions of high-speed particles within nuclear fusion reactors has been developed, inspired by technologies used to determine whether bullets hit targets in ...
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...
According to Ampere’s Consumer data, more viewers than ever now trust the personalised suggestions offered by streaming platforms rather than the traditional favourite – recommendations from friends ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results