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 ...

Responsible AI involves designing machine learning systems that are transparent, fair, and accountable. In the context of healthcare, responsible AI also includes protecting patient privacy, ensuring ...

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Sokol compares his algorithm to nearly 100 other ranking systems and says the LRMC is often among the top performers, with the higher-ranked teams (in the LRMC rankings) winning approximately 75% of ...

Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial.

The xG value for a specific chance is determined by comparing that shot to over 300,000 historical shots in Opta's database. If, historically, shots from a specific situation resulted in a goal 10% of ...