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

The consultation paper proposes strict oversight of algorithmic trading to curb volatility, manipulation, and system risks. The key takeaway is enhanced accountability and transparency without ...

A few months ago, I awoke to find a streak spanning the length of my kitchen wall that looked like it had been drawn there ...

With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...

Elon Musk isn't a fan of X's algorithm, so he's documenting the company's efforts to improve the tech that decides what you ...

Know how this new standard connects AI to data context, reducing hallucinations and enabling smarter decision-making.

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Laboratories turned to a smart workaround when COVID‑19 testing kits became scarce in 2020. They mixed samples from several ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...

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

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.