Extreme NEMS - Opportunities at the Limits of the Nanoscale MIT Professor Farnaz Nirouri pushed the limits of miniaturizing MEMS with her work on nano-scale electromechanical systems (NEMS) devices
WOCC 2020 Keynote K3: Massachusetts Institute of Technology, “Using Deep Neural Networks in Physical Layer Communication Problems” by Prof. Lizhong Zheng - MIT
ITU: Deep learning for physical layer wireless communication networks and sensing radio propagation channel characteristics and modeling approaches from below 6 GHz to the millimeter wave and THz spectrum bands, with a focus on AI/ML opportunities
Unlocking new capacity in 6G cellular systems via site-specific ML-aided design | ITU-JFET Jeffrey Andrews, The University of Texas at Austin, USA Moderators: Ian F. Akyildiz, Editor-in-Chief, ITU-JFET
Internet of Everything (IoE): From molecules to the universe | Ozgur B. Akan, University of Cambridge, UK Moderators: Ian F. Akyildiz, Editor-in-Chief, ITU(JFET) 2025
Bringing AI research to wireless communications and sensing Qualcomm AI Research presents an overview of state-of-the-art research at the intersection of the two fields and offers a glimpse into the future of the wireless industry
Extreme NEMS - Opportunities at the Limits of the Nanoscale MIT Professor Farnaz Nirouri pushed the limits of miniaturizing MEMS with her work on nano-scale electromechanical systems (NEMS) devices