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 ...

Even very slight environmental noise, such as microscopic vibrations or magnetic field fluctuations a hundred times smaller ...

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

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

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Vitalik Buterin argues Ethereum should remain secure and functional even if core developers “walk away.” Here’s what the ...

Discovery has become increasingly complex and costly. What once involved a few servers and email archives has become a vast ...

“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 ...

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

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

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