AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work represents the first quantum-assisted approach to simultaneously tackle memory inefficiencies in both the training and inference stages of HAR systems, and achieves a 90% to 95% reduction in trainable parameters compared with conventional backpropagation-based DL training.
Ensuring reliable and low-latency vehicle-to-everything (V2X) communications in high-speed transport settings remains a significant challenge due to severe path loss brought about by non-line-of-sight (NLoS) and coverage gaps in conventional cellular infrastructure. While dielectric waveguide-based pinching antenna (PA...
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