DeepSig will once again be speaking at NVIDIA’s flagship conference, GTC Silicon Valley, between March 17th and 21st of 2019. The DeepSig team was previously invited to speak at GTC Silicon Valley 2018 and then at GTC DC 2018, and we are excited to once again be contributing to the conference program.
DeepSig gave the first public demonstration of a channel autoencoder running over-the-air at IEEE DySPAN 2018 in Seoul, South Korea. Co-founder & CTO Tim O’Shea presented DeepSig’s OmniPHY commercial software product for learned physical layers, showing it running live between two software-defined radios. This uses the same software product that’s being tested over NASA’s satellite system, TDRSS.
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.
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 26th - March 29th.
Yesterday, the Virginia Research Investment Committee and Virginia Governor Terry McAuliffe approved and announced a grant for $1.18M to Virginia Tech and DeepSig Inc, in conjunction with $2.36M in matched investment from private funding and Virginia Tech.
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