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

Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Reds can tag video frame-by-frame with AI-based ML-as-a-service to get rapid search and “hyper-personalisation” of footage for fan engagement and partner content.

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

AI research labs are becoming the primary source for new foundational models and infrastructure optimisation innovations.

Abstract: Ontologies are widely used for representing domain knowledge and meta data, playing an increasingly important role in Information Systems, the Semantic Web, Bioinformatics and many other ...

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

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

It sounds trivial, almost too silly to be a line item on a CFO’s dashboard. But in a usage-metered world, sloppy typing is a ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

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

Vercel has open-sourced bash-tool that provides a Bash execution engine for AI agents, enabling them to run filesystem-based ...