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 ...

AI in life sciences presents key opportunities in drug discovery, personalized medicine, and diagnostics by leveraging vast ...

Accurate assessment of soil salinity is critical for sustainable agriculture and food security, yet remains technically challenging at fine spatial scales.

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, enabling researchers to process large volumes of environmental data and satellite ...

A genome-wide AI model prioritizes three genetic variants linked to postoperative sepsis and outlines how preoperative ...

Dr Ranjith Gopalan explains how intelligent data validation ensures trust in enterprise systems by automating anomaly ...

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

Strong predictive signals don't automatically translate into investable strategies, especially at institutional scale.

This research initiative highlights practical AI and business analytics for decision support across infrastructure, ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Engineers at the University of Pennsylvania have developed LIBRIS, an automated microfluidic platform that dramatically ...