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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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, ...

The black-box era of AI development is over. Deep learning had a great run in the decade from 2010 to 2020. End-to-end deep learning networks, the technology that catapulted image classification and ...

Graph AI closed a $3 million Seed round led by Bessemer to scale Graph Safety — an AI-native platform that automates adverse event processing, signal detection and regulatory reporting in the $8B ...