A deep learning model has identified an imaging biomarker of chronic stress, according to a study to be presented at the ...

The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...

The new framework sidesteps costly and risky real-world rollouts by generating synthetic training data, making powerful ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...

In times of heightened fear and daily knife attacks, the public are inevitably looking to alternatives to protect themselves. During the last few days, posts have been circulating online encouraging ...

Using a deep learning AI model, researchers identified the first-of-its-kind biomarker of chronic stress detectable through ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...

Andrew Williamson and Caleb Buxton, students at Oklahoma State University and chapter members of the school's YAF chapter, were repeatedly harassed by a peer who came back to their campus table to ...

The Trump Department of Homeland Security flipped the script on a liberal California media outlet that reported immigration agents "drove off" with a U.S. citizen detainee’s toddler in the backseat.

Semi-supervised learning merges supervised and unsupervised methods, enhancing data analysis. This approach uses less labeled data, making it cost-effective yet precise in pattern recognition.