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Identifying things in wireless spectrum with AI

Let’s build intelligent radios together.

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The Radio Intelligence Apps project exists to help accelerate the development of intelligent radio technology. The RIA project contains utlilities for synthesizing, curating, and inspecting datasets of radio signals, example workflows for training high performance machine learning models, and tools for testing them. The RIA Project is coming soon.

  • Supports signal generation in python, GNU Radio and MATLAB
  • Curate from SigMF collections and save to h5
  • Train models with popular off-the-shelf deep learning algorithms.
  • Open-source and free
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Ria Hub

RIA is an end-to-end development suite for creating and deploying intelligent radio applications to realworld software-defined radio enabled systems. RIA is built on top of the open source RIA project.

  • Experiment, training, and deployment automation features.
  • Interoperable with a selection of DSP and deep learning technologies.
  • Enables deployment with leading SDR hardware solutions.
  • Includes a library of functions, pre-trained models, model implementations, workflows, and datasets to accelerate prototyping.
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Intelligent Radio Research

Qoherent partners on the research of better radio signal processing solutions with machine learning and quantum computing. Qoherent partners with government labs, corporate researchers, and universities to:

  • Build environment emulators and testbeds.
  • Design and experiment on algoritmic solutions for classifying radio signals.
  • Systems integration with software-defined radios.

Ecosystem, Support, and Partners: