Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2

By Admin 02/04/2024

AWS Machine Learning Blog Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering the end-to-end ML workflow: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, or the ability to configure foundation models for […]Continue reading

AI generates high-quality images 30 times faster in a single step

By Admin 21/03/2024

MIT News – Artificial intelligence In our current age of artificial intelligence, computers can generate their own “art” by way of diffusion models, iteratively adding structure to a noisy initial state until a clear image or video emerges. Diffusion models have suddenly grabbed a seat at everyone’s table: Enter a few words and experience instantaneous, […]Continue reading

Bring your own ML model into Amazon SageMaker Canvas and generate accurate predictions

By Admin 02/05/2023

AWS Machine Learning Blog Machine learning (ML) helps organizations generate revenue, reduce costs, mitigate risk, drive efficiencies, and improve quality by optimizing core business functions across multiple business units such as marketing, manufacturing, operations, sales, finance, and customer service. With AWS ML, organizations can accelerate the value creation from months to days. Amazon SageMaker Canvas […]Continue reading

Inpaint images with Stable Diffusion using Amazon SageMaker JumpStart

By Admin 10/04/2023

AWS Machine Learning Blog In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models using Amazon SageMaker JumpStart. Today, we are excited to introduce a new feature that enables users to inpaint images with Stable Diffusion models. Inpainting refers to the process of replacing a portion of an […]Continue reading