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.

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 ...

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 ...

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 semiconductor industry is known for its complex production. Thousands of machines (tools) perform thousands of operations over a diverse range of products with re-entrant flows and shifting ...

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 ...

Background Tobacco use remains a global public health challenge, leading to over 8 million annual deaths and significant ...

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

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