To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

NEW YORK, Oct. 15, 2025 /PRNewswire/ -- Graphwise, the leading Graph AI provider, today announced Graph AI Suite, a comprehensive, powerful, Graph AI platform that accelerates how businesses unlock ...

Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity.

I wasn't a big fan of Google's AI Overviews when they debuted atop Google Search. I still don't like the feature, even though it's more reliable than it was early on and, supposedly, quite popular ...

In the realm of Artificial Intelligence (AI), knowledge graphs stand as a crucial innovation, particularly influential in areas like machine learning and natural language processing (NLP). These ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More RelationalAI, a startup that applies artificial intelligence directly to ...

Strike Graph, the AI-native compliance management platform, today celebrates the growing adoption of Enterprise Workspaces, a new capability that enables organizations to govern compliance across ...

From compute and talent to energy and revenue, six charts show where the U.S. leads China in AI—and why that lead could prove fragile.

Graph databases have always been useful to help find connections across a vast data set, and it turns out that capability is quite handy in artificial intelligence and machine learning too. Today, ...