A recent report redefines climate risk, highlighting real-time tipping points and the critical need for governance to address ...
In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...
Research from the Open Networking Foundation/Aether Project and partners has revealed insights that could shape future energy ...
Artificial intelligence (AI) and machine learning (ML) are now embedded in the core of banking — powering decisions in credit, fraud, ...
Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer ...
At the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), held in Hangzhou, China, ...
This study presents a fundamental discovery of how cerebellar climbing fibers modulate plastic changes in the somatosensory cortex by identifying both the responsible cortical circuit and the ...
BHP, operator of the world's largest copper mine, sees a bright future for AI improving the industry — but cautions that it's ...
Faculty of Applied Sciences, Macao Polytechnic University, Macao, Macao SAR, China Background: Against intensifying global aging, digital technologies are pivotal in supporting older adults’ health ...
Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...
Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
Abstract: Graph Convolutional Networks (GCNs) demonstrate significant potential in recommendation systems but face difficulties with the cold-start problem, especially in integrating new nodes during ...
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