Tag: research

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.

Open data is reshaping how we understand and respond to global challenges. From climate change to disaster recovery, the ability to access and analyze large-scale geospatial datasets is critical for scientific research, policy-making, and real-world applications. Leading the charge are several open data initiatives designed to lower access barriers and accelerate innovation: Open Data on AWS, the Amazon Sustainability Data Initiative (ASDI), and the Maxar Open Data Program on AWS. Together, these programs demonstrate the power of cloud-enabled open data to democratize access to geospatial information, promote global collaboration, and drive real-world impact. In this post, we demonstrate how to explore and visualize these datasets using interactive web applications and Jupyter notebooks.

In this post, we discuss how to use datasets in the Registry of Open Data on AWS with Amazon Bedrock Knowledge Bases. With Amazon Bedrock Knowledge Bases, you can give foundation models (FMs) and agents contextual information from private and public data sources to deliver more relevant, accurate, and customized responses.

In an era where scientific discovery transcends borders, cloud computing is helping advance how researchers collaborate and innovate across the globe. Now available for download, The Value of Utilizing Cloud Service Providers for Open Science Research report—produced by Hyperion Research and sponsored by AWS— explores how and why researchers use cloud to accelerate open science research. Read this post to learn more.

AWS has leveraged the expertise of Pariveda Solutions, an AWS Premier Consulting Partner, to develop a flexible high performance computing (HPC) bursting solution that dynamically extends your on-premises infrastructure into the cloud. This approach provides stable core HPC infrastructure with the flexibility to handle peak demand without massive capital investments.

Many government agencies, like the National Oceanic and Atmospheric Administration (NOAA), participate in the AWS Open Data Sponsorship Program. In this post, we discuss how to use NOAA datasets in the Registry of Open Data on AWS using Amazon Bedrock Knowledge Bases.

Dr. Gao Wang’s innovative research at Columbia University, powered by AWS cloud computing, represents a cutting-edge approach to understanding Alzheimer’s disease through functional genetics. Read this post to learn more.

Personalized therapy for diseases such as cancer utilizes an individual’s unique genomic profile to guide treatment decisions. However, the effect and clinical significance of most genetic variants are uncertain. Accurate classification of the clinical significance of novel genetic variants requires extensive curation of peer-reviewed biomedical literature. In recent years, generative AI has demonstrated promising results in information extraction and text summarization. In this post, we explore how various AWS-native solutions can be used to create a secure, retrieval-augmented, and cost-effective biomedical chatbot designed to facilitate biocuration.