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 ...

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

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

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

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) -- ...

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) ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

MongoDB has cemented its status as a global leader in the database market, evolving well beyond its roots as a popular NoSQL platform. Its adaptability and forward-thinking strategy continue to ...

The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...

The Vector Institute and Intellectual Property Ontario (IPON) have signed a memorandum of understanding (MOU) to enhance intellectual property (IP) support for small and medium-sized enterprises (SMEs ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...