Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...
The U.S.-Israel military campaign against Iran is functioning as the first large-scale proving ground for artificial intelligence in active combat operations, with AI systems shaping everything from ...
Researchers created an AI-driven liquid biopsy that scans patterns in fragments of DNA circulating in the blood. The system detected early liver fibrosis and cirrhosis—conditions that often go ...
A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...
Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...
Introduction The provision of optimal care for older adults with complex chronic conditions (CCCs) poses significant challenges due to the interplay of multiple medical, pharmacological, functional ...
The semiconductor industry is increasingly turning to artificial intelligence as the solution for increasing complexity in test analytics, hoping algorithms can tame the growing flood of production ...
1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...