Machine learning algorithms can predict which candidates are more likely to succeed in a given role by analyzing past hiring ...

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

Many researchers agree that there has been a step change in humanoid capability over the past five years, owing to cheaper ...

Most rural Nebraskans are aware of the use of algorithms in online media and have some concerns about their use, according to ...

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

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithmsRa’anana, Israel, Jan. 15, 2026 ...

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.

Abstract: Federated learning allows users to collaboratively train models, but studies have shown that local model parameters may leak users’ privacy. Furthermore, the global model in federated ...

Abstract: In this paper, the problem of emergency power supply for electric vehicles in road traffic networks after earthquake disasters is studied. In emergency response, it is important for evs to ...