A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

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

Abstract: Existing machine learning-based methods for series arc fault (SAF) identification still suffer from slow training speed when dealing with large-scale SAF datasets. For this reason, we ...

Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, ...

According to MarketsandMarkets™, the Smart Learning Market is projected to grow from USD 80.69 billion in 2025 and to reach ...

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 ...

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...

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

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 ...