The current CRM scene keeps advancing at a rapid pace, with innovative companies now leaning toward options combining ...

Abstract: Broad learning system (BLS) is an effective neural network requiring no deep architecture, however it is somehow fragile to noisy data. The previous robust broad models directly map features ...

Abstract: Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-dimensional ...

The acquisition provides Cyderes with a unified, identity-aware foundation that will strengthen its existing solutions while ...

Chandler, Arizona – December 15, 2025 – PRESSADVANTAGE – Rainman Consulting LLC, a digital marketing firm based in the ...

Tangible data visualizations are physical objects that represent data. Think of a sculpture made from LEGOs showing how busy a project is, or a knitted pattern representing work hours. You can touch ...

"Thank you so much for this!" Meteorologist debunks misleading claims about major trend: 'They're still talking about it' ...

The team proposed propose a novel entity-type-enriched cascaded neural network (E 2 CNN) that considers the overlap triple problem and entity-type information to construct a Chinese financial ...

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...

A TechRadar article noted that nearly 90% of enterprise information (documents, emails, videos) lies dormant in unstructured systems. This "dark data" isn't just neglected; it's a liability. GenAI ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...