A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...

CoinDesk Research maps five crypto privacy approaches and examines which models hold up as AI improves. Full coverage of ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

AI database innovation at Oracle drives a redesigned data platform with vector search, AI agents, stronger privacy controls ...

Mistral releases Voxtral TTS model that’s fast, multilingual and small enough to be practical for voice agents.

Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...

How AI agents could reshape DeFi, raising questions around liability, identity, execution, and wallet security.