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

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 ...

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

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 ...

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

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 ...

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.

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 ...

In his office at Michigan State University, forestry professor David Carter shows off an image of a virtual forest on his laptop. It's not just any forest. It's a computerized replica, or "digital ...

Florida’s Indian River Lagoon has been an ecosystem in decline going back to 2011, when harmful algal blooms led to a severe decline in seagrass, the foundational component of shallow coastal ...