Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

CNW/ - Agentiiv – a pioneer in enterprise-grade, agentic AI systems in Canada – today announced a technology partnership with the Vector Institute. As ...

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) -- ...

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

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

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 ...

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) ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...

Abstract: To improve the accuracy of breast cancer diagnosis and reduce examination costs, a novel ensemble learning method called support vector dynamic learning neural network (SVDL) is proposed in ...