Explainable AI for Space-Based Signal Processing

UMNAI is applying our unique Neuro-Symbolic AI to the compression of in-orbit ‘de-noising’ signal processing algorithms to improve satellite communications network efficiency and performance.

UMNAI’s Neuro-Symbolic models are extremely compressible with minimal performance drop enabling deployment on remote, resource restricted ‘edge’ devices like nanosatellites. By deploying the main de-noising algorithms on the satellites, operators can dramatically reduce the usage of limited network downlink capacity.

This project will prove the efficacy of our algorithm compression techniques and demonstrate the improvements in safety, risk management and monitoring enabled by UMNAI’s technology.

The technology developed by UMNAI in this project is equally applicable to IoT, telecoms, remote maintenance, aerospace, drones, and autonomous vehicles.

Contact us if you have a similar application or if you’d like to learn more about how our Neuro-Symbolic AI can benefit your application.