Latest AI News and Developments

A curated selection of the most significant AI news and developments from trusted sources. Each article is directly linked to its original publication for full context and details.

How Google is driving a new era of American innovation in Iowa.

Published by Google AI Blog on May 30, 2025

Google is investing an additional $7 billion in Iowa within the next two years in cloud and AI infrastructure, as well as in expanded workforce development programs, mea…

Deploy Amazon SageMaker Projects with Terraform Cloud

Published by AWS Machine Learning on May 30, 2025

In this post you define, deploy, and provision a SageMaker Project custom template purely in Terraform. With no dependencies on other IaC tools, you can now enable SageMaker Projects strictly within your Terraform Enterprise infrastructure.

How ZURU improved the accuracy of floor plan generation by 109% using Amazon Bedrock and Amazon SageMaker

Published by AWS Machine Learning on May 30, 2025

ZURU collaborated with AWS Generative AI Innovation Center and AWS Professional Services to implement a more accurate text-to-floor plan generator using generative AI. In this post, we show you why a solution using a large language model (LLM) was chosen. We explore how model selection, prompt engineering, and fine-tuning can be used to improve results.

Going beyond AI assistants: Examples from Amazon.com reinventing industries with generative AI

Published by AWS Machine Learning on May 30, 2025

Non-conversational applications offer unique advantages such as higher latency tolerance, batch processing, and caching, but their autonomous nature requires stronger guardrails and exhaustive quality assurance compared to conversational applications, which benefit from real-time user feedback and supervision. This post examines four diverse Amazon.com examples of such generative AI applications.

Architect a mature generative AI foundation on AWS

Published by AWS Machine Learning on May 30, 2025

In this post, we give an overview of a well-established generative AI foundation, dive into its components, and present an end-to-end perspective. We look at different operating models and explore how such a foundation can operate within those boundaries. Lastly, we present a maturity model that helps enterprises assess their evolution path.

Sources

This curated overview brings together articles from the following trusted sources:

• Google AI Blog
• AWS Machine Learning

Note: All content is directly sourced from the original publications. Each article is properly cited with links to the original sources. For the most up-to-date information, please visit the original articles through the provided links.