If African governments rely primarily on foreign AI-native exploration firms, the informational premium the refined ...

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 ...

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated. MIT Technology Review Explains: Let our writers untangle the complex, messy ...

The Dolphins' recent resurgence has helped them lose that pesky "less than" symbol next to the "1%" in the table above, but their road remains fraught, with trips to Pittsburgh and New England on the ...

Graph database provider Neo4j Inc. today announced that it will invest $100 million to accelerate its role as what it calls the “default knowledge layer” for agentic systems and generative artificial ...

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2024. Many real-world networks change dynamically but can be notoriously ...

Ever Googled yourself and wished for that polished informational box to pop up on the results page? That’s a Google Knowledge Panel. More than just a helpful box on the search engine results page ...

Sparse early-stage data limits accurate geological risk assessment, increasing the chance of undetected hazards ahead of the TBM. By integrating borehole-derived information through an observation ...

1 Management and Decision Engineering Laboratory (MDE-Lab), Department of Financial and Management Engineering, School of Engineering, University of the Aegean, Chios, Greece 2 School of Economic ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...