Update README.md

Author: robmarkcole

README.md

@@ -244,4 +244,6 @@ Processing on board a satellite allows less data to be downlinked. e.g. super-re
 * [Spiral Blue](https://spiralblue.space/) -> startup building edge computers to run AI analytics on-board satellites
 * [RaVAEn](https://github.com/spaceml-org/RaVAEn) -> a lightweight, unsupervised approach for change detection in satellite data based on Variational Auto-Encoders (VAEs) with the specific purpose of on-board deployment. It flags changed areas to prioritise for downlink, shortening the response time
 * [AWS successfully runs AWS compute and machine learning services on an orbiting satellite in a first-of-its kind space experiment](https://aws.amazon.com/blogs/publicsector/aws-successfully-runs-aws-compute-machine-learning-services-orbiting-satellite-first-space-experiment/)
-* [An Overview of Model Compression Techniques for Deep Learning in Space](https://medium.com/gsi-technology/an-overview-of-model-compression-techniques-for-deep-learning-in-space-3fd8d4ce84e5)
+* [An Overview of Model Compression Techniques for Deep Learning in Space](https://medium.com/gsi-technology/an-overview-of-model-compression-techniques-for-deep-learning-in-space-3fd8d4ce84e5)
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