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GPUs are ubiquitous throughout data science, but why have they not yet been integrated into radio frequency and wireless technology?

28 September 2021  The Deepwave Digital team is happy to announce the release of AirStack 0.5. This is a major release that includes significant performance enhancements, upgrades to critical APIs, and the incorporation of a firmware recovery image to streamline updates.. New Features Continuously Variable (CV) Sample Rates – We have upgraded the AIR-T firmware […]

AIR-T Edge Series – The Only Rugged Software Defined Radio with a GPU   Artificial intelligence (AI) technology has significantly enhanced capability within computer vision, speech recognition, cybersecurity, and robotics. In parallel, demands on performance in radio frequency (RF) systems have become increasingly more complex while simultaneously requiring higher data rates. The next generation of […]

How to Deploy a MATLAB Deep Learning Model on the AIR-T Deepwave Digital has included support for MATLAB and the Deep Learning Toolbox using the Open Neural Network Exchange (ONNX) to our artificial intelligence (AI) training-to-deployment workflow toolbox for the AIR-T. MATLAB is the tool of choice for high-productivity research, development, and analysis across many […]

AirStack 0.4.2 31 March 2021  The Deepwave Digital team is happy to announce the release of AirStack 0.4.2, a minor release that resolves a few bugs. This upgrade may be performed in minutes without re-imaging the AIR-T system. Bug Fixes Remove extraneous kernel log messages that would be generated during normal operation of the XDMA […]

AirStack 0.4.1   23 October 2020   The Deepwave Digital team is announcing AirStack 0.4.1, a minor release that resolves a few bugs and improves performance. This upgrade may be performed in minutes without re-imaging the AIR-T system. New Features Transceiver Temperature Sensor – The temperature sensor found on the AD9371 can now be accessed […]

Deepwave has added support for PyTorch and Open Neural Network Exchange (ONNX) to our artificial intelligence (AI) training-to-deployment workflow toolbox for the AIR-T. PyTorch is the fastest growning training framework in AI and deep neural networks (DNN). ONNX is the industry open standard for saving, distributing, and deploying AI and DNN solutions in an interoperatable […]

Firmware Development Kit for the AIR-T AirStack Sandbox is the new FPGA development kit for customers to deploy their own intellectual property (IP) on the AIR-T’s FPGA. The Deepwave team has worked tirelessly to abstract away all of the complications of writing custom firmware and has now enabled our customers to interact with the FPGA […]

AirStack 0.4.0 27 August 2020  The Deepwave Digital team is proud to announce that AirStack Version 0.4.0 is now available for download to AIR-T customers. Revision 0.4.0 of AirStack saw a number of changes and additional features designed to better support the underlying hardware and to make upgrades easier in the future. We have the […]

  Deepwave Digital has just released a comprehensive workflow toolbox for creating, training, optimizing, and deploying a neural network on the AIR-T. This new deployment toolbox works natively on the AIR-T and AirStack without the need to install any new packages or applications. This means that the workflow for an AI enabled radio frequency (RF) […]