Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

A breakthrough study reveals carbyne's unique vibrational states within carbon nanotubes, enhancing its potential for ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Machine-learning algorithms can now estimate the "brain age" of infants with unprecedented precision by analyzing electrical ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry.

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...