Nature

A multi-information fusion anomaly detection model based on convolutional neural networks and AutoEncoder

Network traffic anomaly detection, as an effective analysis method for network security, can identify differentiated traffic information and provide secure operation in complex and changing network ...
Tom's Hardware on MSN

Amazon unveils 'Resilient Network Graphs' data center network that cuts hardware by 69%

AWS has revealed RNG, a new random-graph-based data center network that delivers 33% higher throughput, cuts network power ...
Nature

Data-driven dynamic modeling for inverter-based resources using neural networks

Dynamic models are a cornerstone of power system stability and control. The growing penetration of inverter-based resources, driven by global decarbonization, significantly complicates power system ...