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) […]
Deepwave Digital is happy to announce that a new model for the AIR-T Embedded Series is now available on our website. The AIR7201 has 4x more FPGA resources allowing for the deployment of more complex signal processing and deep learning applications on the AIR-T. This increased compute power may be leveraged for pre-processing of […]
We are excited to announce that AirStack Version 0.3.0 is now available for download in the Developer Portal for the AIR-T. The Deepwave team has been working very hard to bring this update to the community and believe that these new features will allow customers to create new and exciting applications for deep learning […]
Deepwave Digital is excited to announce that we have expanded our distributors to include Arrow Electronics. Arrow is fully stocked and selling the Artificial Intelligence Radio Tranceiver. The following models are available for sale at Arrow’s website: Artifical Intelligence Radio Tranceiver (AIR-T) AIR7101-A | – Artifical Intelligence Radio Tranceiver (AIR-T) The AIR7101-A is a high-performance […]
Webinar: Detecting and Labeling Training Data for Signal Classification Update The video stream, slides, and source code are now available to the general public. Slides You may download the slides here. Video Stream Source Code Available in the webinar section of our GitHub here. Original Post Deep Learning Series Part 1 of […]
