We are excited to share that DeepSig has been invited to speak at NVIDIA’s GPU Technology Conference 2018! GTC is in San Jose, California, March 26-29, 2018.
DeepSig is presenting “Designing Wireless Systems with Deep Learning—An Autoencoder-Based Approach to PHY Layer Design” in the Telecommunications track of the conference on Wednesday the 28th at 4 PM. Our talk has the program ID “S8791” and will be co-presented by our CTO, Tim O’Shea, and our Director of Engineering, Ben Hilburn.
We will discuss how DeepSig is using machine learning to change the way core wireless infrastructure and capabilities are built.
The field of wireless engineering is on the cusp of a revolution driven by deep learning that will define the next paradigm in wireless system design. While wireless communications technology has advanced considerably since its invention in the 1890s, the fundamental design methodology has remained unchanged throughout its history – expert engineers hand-designing radio systems for specific applications. Deep learning enables a new, radically different approach, where systems are learned from wireless channel data. As the world becomes more connected and the Internet of Things becomes a reality, it is difficult to overstate the enormity of the impact to both commercial and military systems. This talk will provide a high-level overview of deep learning applied to wireless communications, discuss the current state of the technology and research, and present a vision for the future of wireless engineering.
If you are located in Silicon Valley or will be in the area for the conference and would like to meet up to chat, please let us know! You can reach us at info@deepsig.io.
