An XL-MIMO system with stacked intelligent metasurfaces realizes an over-the-air extreme learning machine for binary classification, matching digital model performance in the XL regime.
All-optical machine learning using diffractive deep neural networks
3 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
fields
eess.SP 3verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
XL-MIMO systems with analog combining perform OTA classification via ELM framework achieving over 90% accuracy with few ms latency under rich fading.
AI and terahertz networks form a mutual symbiosis where each addresses the limitations of the other across hardware, physical layer, protocols, and services.
citing papers explorer
-
Over-The-Air Extreme Learning Machines with XL Reception via Nonlinear Cascaded Metasurfaces
An XL-MIMO system with stacked intelligent metasurfaces realizes an over-the-air extreme learning machine for binary classification, matching digital model performance in the XL regime.
-
Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining
XL-MIMO systems with analog combining perform OTA classification via ELM framework achieving over 90% accuracy with few ms latency under rich fading.
-
When AI Meets Terahertz: A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks
AI and terahertz networks form a mutual symbiosis where each addresses the limitations of the other across hardware, physical layer, protocols, and services.