Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Agentiiv - a pioneer in enterprise-grade, agentic AI systems in Canada - today announced a technology partnership with the ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

ScyllaDB’s integrated Vector Search can handle datasets of 1 billion vectors with P99 latency as low as 1.7 ms and throughput up to 252,000 QPSSUNNYVALE, Calif., Jan. 20, 2026 (GLOBE NEWSWIRE) -- ...

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...

Örebro researchers Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a table. Instead of chemical elements, the new chart arranges learning ...