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

📰 AWS Machine Learning

Build a solar flare detection system using SageMaker AI and ESA STIX data

intermediate Published 30 Mar 2026
Action Steps
  1. Collect and preprocess data from the European Space Agency's STIX instrument
  2. Build and train an LSTM network using Amazon SageMaker AI
  3. Deploy the model on SageMaker for real-time solar flare detection
  4. Evaluate and fine-tune the model for improved accuracy
Who Needs to Know This

Data scientists and machine learning engineers on a team can benefit from this tutorial to develop a deep learning model for solar flare detection, while devops engineers can learn about deploying the model on SageMaker

Key Insight

💡 LSTM networks can be used for time series forecasting and anomaly detection in solar flare data

Share This
🌞 Detect solar flares with SageMaker AI & ESA STIX data
Read full article → ← Back to Reads