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.
We are pleased to announce that DeepSig has been awarded a contract to apply our machine learning-based radio technology to NASA's space-to-space and space-to-ground communications links.
At the Seventh Annual GNU Radio Conference (GRCon17), for which DeepSig was a sponsor, DARPA MTO Program Manager Paul Tilghman ran a workshop about RF Datasets where he called for the creation of an open & publicly available dataset of RF recordings to enable open data science, acknowledging the impact that DeepSig's previously published datasets have had in this field. Before the workshop concluded, Paul formed a working group of industry experts to lead the creation of just such a dataset with the goal of having it ready by GRCon18.
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