Quantum-Inspired Scheduler Cuts Cloud Task Times by Up to 25 Percent
Researchers have unveiled a quantum-inspired, fault-tolerant scheduling framework that cuts task completion times by up to 25 percent in large-scale ...
Researchers have unveiled a quantum-inspired, fault-tolerant scheduling framework that cuts task completion times by up to 25 percent in large-scale ...
Researchers have developed an encrypted skyline query scheme that lets patients search medical databases with their own criteria while keeping ...
A newly published edited volume from Bentham Books examines how artificial intelligence, blockchain, cloud computing, the Internet of Things and ...
Researchers have unveiled a matrix-blinding framework that lets resource-constrained clients outsource heavy hyper-spectral image analysis to untrusted cloud servers while ...
Researchers in India have enhanced a serverless computing simulator with a realistic virtual machine layer and a multi-agent reinforcement learning ...
A new Bentham Books reference volume examines how high-performance computing, artificial intelligence, cloud technologies and cybersecurity can converge to build ...
A new cloud-native machine-learning framework called SIAVASH emulates global flood-hazard data to map design-event flood depth and screen infrastructure weak ...
A new closed-loop reinforcement learning framework called A3SM detects, localizes, and mitigates gray failures in cloud clusters, cutting recovery times ...
A new satellite-based modeling study shows that widespread soil and water conservation could nearly halve severe soil loss in Ethiopia's ...
A new deep reinforcement learning framework published in Cluster Computing enables cloud networks to dynamically recompose their services in real ...
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© 2025 Scienmag - Science Magazine