Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...

Machine learning models could help clinicians estimate individualized risk for major complications among women undergoing ...

The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

A Zambian graduate student in the United States is developing a machine learning system designed to help African farmers ...

A machine learning model uses cloud type and cloud cover to predict rapid changes in surface solar irradiance, including short-term “ramp” events that affect grid stability. When tested across 15 ...

Proton exchange membrane fuel cells (PEMFCs) are promising for zero-emission vehicles, but their sub-zero start-up capability remains a major hurdle. Freezing of product water inside the membrane ...

To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...

AI meets isotope science: Machine learning is enhancing isotope analysis techniques, improving efficiency, accuracy, and insights into geochemical processes. Key hurdles remain: Data scarcity, limited ...

Research reveals a predictive model for early mobility limitations, emphasizing the impact of the Mediterranean diet and ...

A new AI tool detects pancreatic cancer up to three years early on routine CT scans, outperforming expert radiologists.

The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.