We will be presenting at NVIDIA’s GPU Technology Conference (GTC) DC 2018, which is taking place October 22nd – 24th in Washington D.C. Building on the work presented in our GTC Silicon Valley 2018 Talk, and expanded upon in an article featured by NVIDIA, we will be presenting “Deep Learning for RF Sensing and Communications”. Information about the talk can be found on the NVIDIA GTC DC website.
The abstract for the talk is below:
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.
If you’ll be at GTC DC and are interested in chatting, please send us a note at info@deepsig.io! We would love to meet up at the conference or host you in our offices just outside of D.C. while you’re in town.
