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From the very first use of deep neural networks onboard a satellite with TensorFlow Lite to some pretty awesome onboard software defined radio signal processing with GNU Radio and TensorFlow object detection, read all about how OPS-SAT-1 has leveraged open source software in space operations:

Labrèche, G., & Mladenov, T. (2023). Open-Source Software in Space Operations. Space Education & Strategic Applications, 4(1). https://doi.org/10.18278/sesa.4.1.2.

There’s loads to be excited about with the power of open source when it is unleashed on space-bound edge computers. As always, a huge thank you to the OPS-SAT Mission Control Team at the European Space Agency for the boundless opportunities to innovate in space!

Digital publications are nice and accessible but it's always neat to get a hold of a print.

Shout-out to my co-author, co-researcher, and friend Tom Mladenov for defying the laws of spacetime by making the time in his crazy schedule to publish something with me.

A version of this post was first published on LinkedIn.