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 ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...
Progress will come from systems that can combine language understanding with explicit spatial and structural reasoning.
The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Explore how intelligent document processing transforms dark, unstructured data into actionable intelligence—enabling faster ...
Ambarella is poised to benefit from edge AI demand as CV7 SoC and DevZone boost stickiness. Read why AMBA stock is a Strong ...
Morning Overview on MSN
Ex-Tesla AI chief says Claude Code triggered a phase shift as his skills atrophy
Andrej Karpathy helped define the modern era of applied AI at Tesla AI, but he now says a new generation of coding tools has left him feeling unusually obsolete. After experimenting deeply with Claude ...
O. Rose Broderick reports on the health policies and technologies that govern people with disabilities’ lives. Before coming to STAT, she worked at WNYC’s Radiolab and Scientific American, and her ...
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