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

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

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

Abstract: The widespread use of the internet has led to frequent cryptographic attack event incidents, which pose various risks, including the leakage of personal information, privacy data, identity ...

Overview AI wearables in India are rapidly evolving from basic fitness trackers to intelligent personal assistants for health ...

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

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

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 ...

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

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...