Tag: research

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.

In this blog, learn how NASA’s Earth Science Data and Information System (ESDIS) is migrating over 170 petabytes of Earth science data to AWS to provide equitable access to researchers worldwide, eliminating the “data fortress” problem while achieving significant cost efficiencies through intelligent tiering, serverless architecture, and economies of scale. The post also details how NASA made over 6,000 Earth Science collections visible in the Registry of Open Data on AWS, enabling seamless discovery and analysis for the broader AWS user community.

Old Dominion University (ODU), in collaboration with Iowa State University, the longtime home of GAMESS development, and with support from Amazon Web Services (AWS), built CPU- and GPU-optimized GAMESS containers and began deploying them on AWS High-Performance Computing (HPC) services. Their work offers a practical roadmap for other institutions looking to bring legacy HPC applications into a modern, cloud-native environment.

Coursera and AWS surveyed more than 750 technology executives across six countries to understand how organizations are balancing automation, human expertise, and infrastructure modernization as they prepare for an AI-driven future. The survey reveals a clear insight: As organizations move toward AI-driven operations, success begins with the cloud.

Knowledge graphs (KGs) and large language models (LLMs) are transforming biomedical research, but ensuring artificial intelligence (AI) outputs are trustworthy and evidence-based remains challenging. At the recent AWS and NVIDIA Open Data knowledge graph hackathon, teams of researchers tackled this challenge by developing innovative solutions that combine knowledge graphs with graph-based retrieval-augmented generation (GraphRAG). Read this post to learn more.

When a University of Arizona associate professor needed to build a cross-disciplinary research team of women researchers for a new initiative, identifying the right experts seemed daunting. With thousands of faculty members spread across hundreds of departments, what would have traditionally required weeks of searching outdated websites and disconnected databases was completed in minutes through Knowledge Map (KMap), an AI-powered research platform developed by the University of Arizona and built on AWS.

Trusted Research Environments (TREs) provide secure access to sensitive data, enabling research while controlling data movement to meet governance requirements. In this post, we review core TRE concepts, examine TRE history and related initiatives, and explore key considerations for successfully deploying a TRE on AWS.

Libraries are a treasure trove of knowledge, but finding what you need—especially in vast digital collections like the ones housed at Northwestern University Libraries (NUL)—isn’t always straightforward. That’s why the university chose AWS to help them build a new, multilingual, generative artificial intelligence (AI) powered search tool—one that makes its expansive collections more accessible, intuitive, and inclusive for all.

Today, we are excited to announce the release of E11 Bio’s brain tissue dataset on AWS as part of the Registry of Open Data on AWS (E11bio PRISM). Read this post to learn more.

This blog explores how the University of Sheffield uses AWS Partner RONIN Core and RONIN Isolate solutions to deliver a Trusted Research Environment (TRE) built on AWS infrastructure, enabling secure research and collaboration with sensitive data through the university’s Data Connect service. Secure and compliant infrastructure is essential for sensitive research. Many research institutions use a research Landing Zone to build Secure Research Environments (SRE) that provide the foundational compliance infrastructure—meeting standards like the National Institutes of Health (NIH) NIST 800-171, ISO 27001, HIPAA, and CMMC—upon which TREs like RONIN can build secure research workflows.