In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

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

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

A deep learning algorithm called FaceAge could allow clinicians to improve their qualitative assessments, and possibly catch ...

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...

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

This new marketplace emerged, in part, because the tools to reshape it became cheaper, faster, and ubiquitous. For firms, ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Psychologist Michele Leno, writing for Psychology Today, wrote that “fandoms exemplify the life-altering potential of shared ...

Climate change and AI are often positioned at odds to one another, but a broader and more nuanced conversation can help us ...