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Google Research, 2022 & beyond: Natural sciences

Posted by John Platt, Distinguished Scientist, Google Research (This is Part 7 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) It’s an incredibly exciting time to be a scientist. With the amazing advances in machine learning (ML) and quantum computing, we …

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MLOps deployment best practices for real-time inference model serving endpoints with Amazon SageMaker

After you build, train, and evaluate your machine learning (ML) model to ensure it’s solving the intended business problem proposed, you want to deploy that model to enable decision-making in business operations. Models that support business-critical functions are deployed to a production environment where a model release strategy is put in place. Given the nature …

Document AI Workbench is now Generally Available to train document extraction models for your production use cases

Each day, more documents are created and used across companies to make decisions. However, the value in these documents is primarily expressed as unstructured data, which makes the value difficult and manually intensive to extract and use for business processes.  As the number and variety of documents used by businesses proliferate, machine learning (ML) solutions …

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Fine-tune text-to-image Stable Diffusion models with Amazon SageMaker JumpStart

In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart. Stable Diffusion is a deep learning model that allows you to generate realistic, high-quality images and stunning art in just a few seconds. Although creating impressive images can find use in industries ranging from …