As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.
Eliminates spreadsheet chaos and fragmented GRC tools through centralized governance of compliance controls—enabling organizations to publish controls, enforce standards, and validate evidence across ...
Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...
Marketing professionals question whether "Generative Engine Optimization" accurately describes work focused on shaping ...
Spire.AI Foundry delivers domain-aware knowledge graph based context intelligence that translates fragmented enterprise ...
Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...
Shang Ma (University of Notre Dame), Chaoran Chen (University of Notre Dame), Shao Yang (Case Western Reserve University), Shifu Hou (University of Notre Dame), Toby Jia-Jun Li (University of Notre ...
Eucalyptus trees, laden with flammable oils, could spread into Portugal's south-central region by 2060 if changing climate ...
Whitney tries to keep Tender afloat after SternTao finally makes its findings public, and Eric deals with a crisis.
India faces a significant shift in careers due to AI. The nation is focusing on 'Skill Graph India' to prepare its youth for future job demands. This initiative maps talent to emerging roles, ...
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