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

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

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.

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 ...

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

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 ...

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 ...

Multiomics analysis sheds new light on the role of NETs in alcohol-induced epilepsy Epilepsy is a highly prevalent chronic ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

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

As glaciers in Kashmir retreat rapidly, AI is transforming glacier science in one of the world’s most remote and ...

In the Himalayas of Indian-administered Kashmir, researchers are turning to AI to track accelerating glacier retreat and ...