An end-to-end vision-transformer semantic communication system is implemented in real time on FPGA and outperforms 256-QAM at low SNR on CIFAR-10.
Reinforcement learning-powered semantic communication via semantic similarity
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An intention-aware semantic agent system for AI glasses reduces bandwidth by over 50% in simulations while preserving task performance through adaptive preprocessing guided by inferred user intentions.
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Demo: Real-Time Semantic Communications with a Vision Transformer
An end-to-end vision-transformer semantic communication system is implemented in real time on FPGA and outperforms 256-QAM at low SNR on CIFAR-10.
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Intention-Aware Semantic Agent Communications for AI Glasses
An intention-aware semantic agent system for AI glasses reduces bandwidth by over 50% in simulations while preserving task performance through adaptive preprocessing guided by inferred user intentions.