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2018 GTC Washington DC

DC8154 - Deep Learning for RF Sensing and Learned Communications

Session Speakers
Session Description

Machine learning is rapidly advancing the state-of-the-art in algorithm performance for wireless telecommunications systems. Building on our work presented at GTC Silicon Valley, recasting fundamental wireless signal processing problems as data-centric deep learning problems, we present further evidence that learned signal processing algorithms can empower the next generation of wireless systems with significant reductions in power consumption and improvements in density, throughput, and accuracy when compared to the brittle and manually designed systems of today. This talk will introduce the core enabling technologies and fundamental approaches, share our latest work and results in deep learning-based sensing and learned communications, and discuss applications such as 5G and IoT, commercial cyber-threat sensing, and defense RF sensing to illustrate the wide range of fields these technologies will impact over the next several years.


Additional Information
Deep Learning and AI
Deep Learning and AI, Cyber Security
Defense, Internet / Telecommunications
Advanced technical
Talk
50 minutes
Session Schedule