Artificial Intelligence
Author: Pierre de Malliard
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.
Move Amazon SageMaker Autopilot ML models from experimentation to production using Amazon SageMaker Pipelines
Amazon SageMaker Autopilot automatically builds, trains, and tunes the best custom machine learning (ML) models based on your data. It’s an automated machine learning (AutoML) solution that eliminates the heavy lifting of handwritten ML models that requires ML expertise. Data scientists need to only provide a tabular dataset and select the target column to predict, […]