Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
Scientists tracked 14 elite endurance athletes for a year and found a metabolic ceiling: no one sustained more than 2.5× ...
Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...
Most organizations rely on traditional last-touch attribution, a simple model that assigns 100% credit to the last engagement ...
OpenAI and AMD have launched a multi-year, multi-generation partnership to deploy 6 GW of GPU compute, beginning with a 1 GW ...
Abstract: Objective: Graph-based methods using resting-state functional magnetic resonance imaging demonstrate strong capabilities in modeling brain networks. However, existing graph-based methods ...
Abstract: A vast amount of textual and structural information is required for knowledge graph construction and its downstream tasks. However, most of the current knowledge graphs are incomplete due to ...
Creator content has transformed from platform-specific posts to becoming the central engine powering marketing strategies ...
A new publication in the International Journal for Equity in Health spotlights interdisciplinary research led by University ...
KillChainGraph predicts attack sequences using machine learning. Rather than just flagging individual suspicious events, it ...
Negative interactions are impacting on conservation activities as they erode public support for endangered species, driving ...
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