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Amazon SageMaker Data Wrangler helps you understand, aggregate, transform, and prepare data for machine learning (ML) from a single visual interface. It contains over 300 built-in data transformations so you can quickly normalize, transform, and combine features without having to write any code. Data science practitioners generate, observe, and process data to solve business problems …

Read more “Refit trained parameters on large datasets using Amazon SageMaker Data Wrangler”

Today, we are launching Amazon SageMaker inference on AWS Graviton to enable you to take advantage of the price, performance, and efficiency benefits that come from Graviton chips. Graviton-based instances are available for model inference in SageMaker. This post helps you migrate and deploy a machine learning (ML) inference workload from x86 to Graviton-based instances …

Read more “Run machine learning inference workloads on AWS Graviton-based instances with Amazon SageMaker”

Today, manufacturers are advancing on their factory digitalization journey, betting on innovative technologies to strengthen competitiveness, deliver sustainable growth, and offer new services. Macroeconomic factors – such as high energy costs, increasing labor, and raw material shortages – drive the need for urgent operational optimizations and automation.  Cloud capabilities have matured at an accelerated pace, …

Read more “Using AI to increase asset utilization and production uptime for manufacturers”

A finalist for the Gordon Bell special prize for high performance computing-based COVID-19 research has taught large language models (LLMs) a new lingo — gene sequences — that can unlock insights in genomics, epidemiology and protein engineering. Published in October, the groundbreaking work is a collaboration by more than two dozen academic and commercial researchers …

Read more “Speaking the Language of the Genome: Gordon Bell Finalist Applies Large Language Models to Predict New COVID Variants”