The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...

In a world still dominated by advertising, algorithms, and endless acquisition, the idea of owning less appears almost ...

Modern Formula 1 is defined as much by invisible air as by roaring engines. Over half a century, teams have turned ...

Open radio access network (RAN) technology remains a work in process due to complexity and integration challenges, but an increasing number of operators and vendors are getting behind AI as a way to ...

Online Set Cover and Load Balancing are central problems in online optimization, and there is a long line of work on developing algorithms for these problems with convex objectives. Although we know ...

China has turned a science fiction trope into industrial policy, opening a dedicated “robot school” where humanoid machines ...

ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...

Hurriedly integrating AI into industrial systems isn't the wisest idea, the U.S. Cybersecurity and Infrastructure Security ...

Microgrids are increasingly vital as power demand outpaces utility infrastructure, requiring advanced control and forecasting capabilities. Integration of renewables, batteries, and emerging ...

Chemical process plants must be vigilant when it comes to preventing accidents that have the potential to harm people, assets and the environment. While safety instrumented systems (SIS) reduce risks, ...

School of Computer Science, Rocket Force University of Engineering, Xi'an, Shaanxi, China Load imbalance is a major performance bottleneck in training mixture-of-experts (MoE) models, as unbalanced ...