This summer, Cordillera will become the second community in the nation to install a new European wildfire technology designed ...
CTI-REALM is Microsoft’s open-source benchmark that evaluates AI agents on real-world detection engineering. It measures ...
By welcoming AI-driven vendor platforms into their banks, small and midsize institutions are introducing risks that are ...
Memorandum of Understanding (MOU) establishing a strategic alliance with Farrington Capital Group (FCG) and Near Infrared Imaging, Inc., (NII) to accelerate the development and global ...
Introduction People identified as higher risk by a machine learning algorithm (Future Innovations in Novel Detection of Atrial Fibrillation [FIND-AF]) are at increased risk of ...
Abstract: Community detection in social networks is a fundamental challenge in network science driven by the increasing complexity of online platforms. In a given network, a community is a group of ...
Background: Wearable devices can capture 1-lead ECGs but are primarily used for detecting rhythm disorders. AI deployed on these ECGs could enable scalable detection of structural heart diseases (SHDs ...
We are a group of students working on graph algorithms, and we would like to contribute by implementing the Louvain community detection algorithm in JGraphT for detecting communities in large networks ...
According to a new study, the use of an artificial intelligence-based "You Only Look Once (YOLO)" algorithm showed high precision in detecting B lines on lung ultrasound (LUS) images, with substantial ...
Abstract: Multilayer networks, as an important branch of network science, have become a powerful tool for revealing and analyzing the internal structures of complex systems. Within these networks, ...
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