Artificial Intelligence

Category: Aerospace & Satellite

Manufacturing intelligence with Amazon Nova Multimodal Embeddings

In this post, we build a multimodal retrieval system for aerospace manufacturing documents using Amazon Nova Multimodal Embeddings on Amazon Bedrock and Amazon S3 Vectors. We evaluate the system on 26 manufacturing queries and compare generation quality between a text-only pipeline and the multimodal pipeline.

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

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.

Time series plot of spacecraft velocity data in ECEF coordinates, showing three velocity components in blue, green, and yellow. Red markers indicate detected anomalies, with a purple dashed line representing the anomaly score throughout the time series.

Using Amazon SageMaker AI Random Cut Forest for NASA’s Blue Origin spacecraft sensor data

In this post, we demonstrate how to use SageMaker AI to apply the Random Cut Forest (RCF) algorithm to detect anomalies in spacecraft position, velocity, and quaternion orientation data from NASA and Blue Origin’s demonstration of lunar Deorbit, Descent, and Landing Sensors (BODDL-TP).

GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock

GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock

In this post we show how you can quickly launch generative AI-enabled expert chatbots, trained on your proprietary document sets, to empower your workforce across specific aerospace roles with Amazon Q and Amazon Bedrock.