DeepSig Blog

Please bear with us, as we highlight a wireless sensing solution which leverages components from two separate companies with very similar names. Ourselves, DeepSig and a valued partner, DeepWave.  

DeepSig’s ML software products are designed for agility and ease of integration and operation on a variety of radio platforms. Today we highlight the OmniSIG software operating on DeepWave's Artificial Intelligence Radio Transceiver (AIR-T) software defined radio (SDR) platform. (https://deepwavedigital.com/hardware-products/sdr/).  

DeepSig’s CTO Dr. Tim O’Shea will be presenting during two sessions focused on wireless AI/ML at NVIDIA’s GTC 21 conference taking place online April 12-16, 2021. NVIDIA's GTC conference brings together a range of AI innovators, technologists, and creatives looking to ignite ideas and forge new connections to take on our biggest challenges.  We're excited to share a range of key updates on how we are using AI/ML at the edge to accelerate wireless sensing, 5G vRAN, and drive the future of communication systems!

DeepSig’s new 5G Wireless AI Lab has officially opened. The lab includes an end-to-end 5G network using state-of-art, commercial grade, multi-vendor products and tools. The 5G Wireless AI Lab focuses on measuring and validating machine learning software on over-the-air calls and data using 5G Open virtual radio access network (vRAN) and signal classification for dynamic spectrum allocation and interference mitigation.

Tune in for the International Telecommunications Union (ITU) webinar on November 27, 2020 to see DeepSig CTO, Tim O'Shea speak to how artificial intelligence and machine learning are optimizing the 5G Radio Access Network (RAN), and how they are building the foundations of the 6G data-driven RAN.  Learn more about this event on ITU's site here.

Wireless signals transmit data through the electromagnetic spectrum which is divided into frequencies for different uses by international regulations (e.g., the ITU) and each country’s spectrum regulator (such as the FFC/NTIA, Ofcom, MIC). The portion of the electromagnetic spectrum typically used for wireless communications is known as the radio frequency (RF) spectrum.