Artificial Intelligence

Category: Amazon VPC

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).

The following diagram illustrates the workflow of patch-level prediction tasks on a WSI

Accelerate digital pathology slide annotation workflows on AWS using H-optimus-0

In this post, we demonstrate how to use H-optimus-0 for two common digital pathology tasks: patch-level analysis for detailed tissue examination, and slide-level analysis for broader diagnostic assessment. Through practical examples, we show you how to adapt this FM to these specific use cases while optimizing computational resources.