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

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

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 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 ...

AI dependence among university students is driven less by routine use and more by the reasons students turn to the technology ...

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 ...

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.

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

A study published in Engineering has demonstrated that the N-glycome of serum-derived extracellular vesicles (EVs) can serve ...

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 ...