AI is searching particle colliders for the unexpected ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

Understanding plant root systems is vital to improving crop productivity and climate adaptation, yet their complex underground structures remain difficult to characterize. Conventional imaging methods ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Network methods and molecular dynamics (MD) simulations have become essential tools ...

Background: Sepsis remains a major cause of mortality and morbidity worldwide. Recent studies suggest that gut microbiota-derived metabolites, such as α-hydroxybutyrate (α-HB), may play a critical ...