A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

DarioHealth Corp. (NASDAQ: DRIO) (the "Company", "DarioHealth" or "Dario"), a leader in global digital health, today ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

To mark International Women’s Day (8 March), we spoke to Meghan Plumridge, User Support Specialist for Machine Learning. When Meghan joined ECMWF ten years ago, she wasn’t a computer scientist. She ...

At GDC 2026, Microsoft announced updates to Windows 11 designed to help PC game developers create, optimize, and deliver faster, smoother, and more responsive experiences. The company highlighted ...

Researchers at Fondazione Policlinico Universitario Agostino Gemelli IRCCS have developed a promising machine learning algorithm capable of predicting survival and cause of death for patients with ...

Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldstein & Fox PLLC discuss challenges in meeting patent law's disclosure requirements for inventions involving artificial intelligence, ...

The promise of artificial intelligence in credit scoring is undeniable. By analyzing vast, non-traditional datasets from ...

Statsmodels helps analyze data using Python, especially for statistics, regression, and forecasting.The best Statsmodels courses in 2026 fo ...

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...