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

Abstract: Randomized algorithms are crucial subroutines in quantum computing, but the requirement to execute many types of circuits on a real quantum device has been challenging to their extensive ...

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 ...

In the event of an upstream grid fault, the Active Distribution Network (ADN) can switch to autonomous operation, coordinating controllable Distributed Generators (DGs) and Energy Storage Systems (ESS ...