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

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...

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

Researchers at Goethe University and Philipps University Marburg, in collaboration with the Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, have developed a new artificial ...