As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
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.
Indian startup Sarvam AI has launched Sarvam Arya, a platform designed to manage and deploy complex AI agents in real-world production environments.
Asana’s new Claude integration embeds project management inside Anthropic’s AI chatbot, turning natural-language chats into ...
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 ...
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 ...
Eucalyptus trees, laden with flammable oils, could spread into Portugal's south-central region by 2060 if changing climate ...
Mastercard's Decision Intelligence Pro uses recurrent neural networks to analyze 160 billion yearly transactions in under 50 ...
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