AWS Public Sector Blog

Federated learning for biobank data at the CMU-NVIDIA Hackathon

Federated learning for biobank data at the CMU-NVIDIA Hackathon

by Ben Busby, Beryl Rabindran, Cristian Chicas, Holger Roth, Maria Fassinger, and Melanie Gainey on in Public Sector Permalink Share

In this blog post, we will share how at the January 2026 Carnegie Mellon University (CMU)–NVIDIA Federated Learning Hackathon for Biomedical Applications, ten teams built end‑to‑end prototypes on NVIDIA FLARE (NVIDIA Federated Learning Application Runtime Environment), with data prepared for modeling on Amazon Web Services (AWS), to test how FL could support real‑world biobank collaboration at scale.

AI and cloud innovation create the airports of the future

In this blog post, learn more about the AI Adoption Alliance is a collaborative initiative designed to accelerate responsible AI deployment. The alliance, between Amazon Web Services (AWS), the Cities Today Institute, Zensors AI, and NVIDIA, helps airport operators navigate data governance, legacy integration, and use case evaluation to support AI adoption.

Supporting GSA CUI protection requirements with AWS

Supporting GSA CUI protection requirements with AWS

In this blog, we will discuss how federal contractors handling Controlled Unclassified Information (CUI) for the General Services Administration (GSA) face a critical reality when the updated security requirements are required to maintain your contracts. The stakes extend beyond business; inadequate CUI protection compromises sensitive government operations and US national interests. The recently updated GSA IT Security Procedural Guide CIO-IT Security-21-112 Revision 1 (January 2026) aligns with NIST SP 800-171 Revision 3 and sets the bar for protecting CUI in nonfederal systems. Learn how Amazon Web Services (AWS) provides security services specifically designed to help you address these requirements efficiently.

Advancing the defense system lifecycle with digital engineering on AWS

Advancing the defense system lifecycle with digital engineering on AWS

AWS provides infrastructure that enables mission and program teams to build and manage their own digital engineering environments with secure, scalable computing resources and tools. This resource supplier relationship delivers value through cost efficiency, simplified management, reliable failover, and streamlined infrastructure operations. In this post, we provide a detailed walkthrough for building a secure and scalable digital engineering environment on AWS.

Building an identity-verified remote assessment platform on AWS

Building an identity-verified remote assessment platform on AWS

Universities across the UK conduct tens of thousands of online interviews and exams each year. During a single admissions intake, over 20,000 video interviews were recorded for international applicants, with 1.3% of sessions showing confirmed fraud, including 0.15% involving deepfakes. A survey by the International Center for Academic Integrity (ICAI) found that 2% of students […]

Building self-recovering systems against technology and business risk with Amazon Bedrock production resilience

Your generative AI production workloads can route around failures automatically. As foundation models (FMs) converge in quality, Amazon Bedrock gives you access to multiple leading models through a single API, so you can build systems that recover from throttling and capacity limits without human intervention. They’re self-healing by design. The reliability patterns behind this are […]