Category: Amazon Simple Storage Service (S3)

In this post, you can learn what distinguishes this reanalyzed dataset from prior 1000 Genomes Project call sets, how to access the data, and how to explore it using both bioinformatics tools and a natural-language query interface built on Amazon Bedrock.

This post introduces the Geospatial Power Pack, a Kiro power package that turns Kiro into a unified, AI-assisted geospatial workspace. Kiro is an agentic development environment created by Amazon Web Services (AWS). It helps developers and teams turn prompts into executable specs, validate code correctness to find bugs that unit tests miss, and build across large codebases with parallel agents that learn from every session.

This post is a follow-up to our March 2025 blog post, UTHealth Houston’s iDFax transforms medical fax management with Amazon Bedrock, which introduced the iDFax pilot and its early results.

The Adolescent Brain Cognitive Development (ABCD) and HEALthy Brain and Child Development (HBCD) studies, the largest longitudinal brain development studies in U.S. history, are producing transformative insights, but the data driving those discoveries require greater security and have grown so large that many research teams struggle to access and analyze them.

Every major agent framework has a security model for this. Amazon Web Services (AWS), Microsoft, and Google each ship agent solutions with authentication and credential management built in. Amazon Bedrock Agents, for example, enforces AWS Identity and Access Management (IAM)-based authorization on which AWS Lambda functions, Amazon Simple Storage Service (Amazon S3) buckets, and Amazon Bedrock Knowledge Bases an agent might invoke.

Credit unions exist to serve members, not to run data centers. Every hour our team spends on infrastructure is an hour not spent on the question a member actually cares about: “Is my money safe, is my experience easy, and is my credit union on my side?” Moving to a serverless, managed-service foundation on Amazon Web Services (AWS) means our engineers spend their time on membership modeling, fraud analytics, and AI augmentation instead of capacity planning.

Learn how Amazon Web Services (AWS) offers a fundamentally different approach. By deploying agentic AI—specialized AI agents that work collaboratively to analyze, validate, and route documentation—federal agencies can dramatically accelerate conformity processing while maintaining or improving quality and compliance standards.

The Translational AI Center (TrAC) at Iowa State University is a pre-competitive research hub that bridges the gap between academic AI breakthroughs and real-world deployment. With over 70 affiliated faculty spanning seven ISU colleges, TrAC breaks down disciplinary silos and organizes research across thematic areas, including food and energy systems, healthcare, autonomy, materials design, and AI ethics.

In this post, we discuss how AWS and Wiz support security and resilience for AMCs to help keep the focus more on patient care while maintaining a robust, secure operating environment.

As organisations modernise to meet the evolving expectations of the Australian Government, delivering secure, cloud-based services has become a commercial and operational necessity. This transformation brings a critical challenge: maintaining a hardened security posture while aligning to the Information Security Registered Assessors Program (IRAP) assessment requirements and priorities.