A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
A deep learning model has identified an imaging biomarker of chronic stress, according to a study to be presented at the ...
The new framework sidesteps costly and risky real-world rollouts by generating synthetic training data, making powerful ...
The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...
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 ...
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.