Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest ...

Last week, Nikkei Asia reported that researchers at Sony Group were working on technology to identify copyrighted music ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Enterprise adoption of cognitive intelligence platforms has accelerated, yet executive confidence has not kept pace. Many deployments promise ...

Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images. Because these lipid-rich ...

After a heavy week of attending physical and online debates on the use of Artificial Intelligence for teaching and learning ...