ToolsThe story, in brief

Build a solar flare detection system on SageMaker AI LSTM networks and ESA STIX data

AWS SageMaker just became your space weather ops center. Here's how to detect solar flares before they hit Earth.

Paper-cut illustration of a coral software window opening into a three-dimensional drafting space.
New tools for building and creating with AI.AI illustration by KeyNews
The KeyNews take

Why it matters

AWS is expanding SageMaker's use cases beyond enterprise AI into scientific infrastructure, demonstrating how ML platforms can tackle domain-specific problems (solar prediction) with real business implications for satellite operators and power grids.

The key facts

7 to know
  1. Amazon SageMaker AI used for deep learning model deployment

  2. LSTM networks for time-series solar flare detection

  3. Integration with European Space Agency STIX instrument data

  4. Published Mar 30 2026 on AWS ML blog

  5. Demonstrates SageMaker ML Ops capabilities in production scientific computing

  6. European Space Agency STIX instrument data integration

  7. Published March 30, 2026 on AWS ML blog

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: In this post, we show you how to use Amazon SageMaker AI to build and deploy a deep learning model for detecting solar flares using data from the European Space Agency's STIX instrument.
Read original report
Back to today's editionMore tools news

Keep reading

Related stories

More from Tools