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

The man is enrolled in the BrainGate2 clinical trial at UC Davis Health. His ability to communicate through a computer has ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

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

Experts can identify and address artificial intelligence's weak points using a database tracking the technology’s harms.

AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...

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.

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

Sufi K Sulaiman Joins 1cPlatform as CTO, Taking the Helm to Shape the Company’s Next Era of Intelligent Automation and ...

XRP extended its weekly rally on Friday, November 28, climbing another 1.5% on the daily chart as a number of bullish developments renewed the momentum. Notably, the token pushed above its 20-day ...

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...