Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...