Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...

Abstract: Optimization problems in real-world applications often involve dynamic environmental changes, requiring algorithms to adapt quickly, track optimal solutions, and maintain efficiency.

Humanoid robot “Flash” of Qitiandasheng Team in the autonomous category runs during the Beijing E-Town half-marathon and ...

Amazon can steer market-wide prices without ever colluding—exposing a gap in antitrust law that the FTC is now fighting to ...

As demand volatility continues to reshape the hospitality sector, hotels are increasingly adopting algorithmic pricing models ...

Maryland is showcasing its commitment to consumers by becoming the first state in the nation to enact legislation that ...

Google replaces Dynamic Search Ads with AI Max. Learn what’s changing, when migrations begin, and what advertisers should do ...

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...

Against the backdrop of growing demand for global ubiquitous connectivity in the 6G era, low-Earth-orbit (LEO) satellite mega-constellations have ...

AI data centers feature extremely high power densities, with loads that can ramp up or down within seconds, creating significant challenges for power system stability. Power quality issues such as ...

An intelligent monitoring pipe combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement, which could help provide early warnings of risks from soil ...

Nvidia technically launched DLSS 4.5 back at CES 2026, improving the already-great DLSS 4 algorithm with an updated transformer model for upscaling. But its headline feature, Dynamic Multi-Frame ...