Category: Research

Amazon Web Services (AWS) is proud to announce the 2024 cohort of AWS Champions, and the expansion of the program to AWS education and government technology (EdTech, GovTech) partners. The AWS Champions program recognizes individuals and organizations pioneering meaningful, cloud-powered change to improve outcomes, build resilience, and accelerate progress in service of their respective missions, constituents, and communities.

Leaders in education and state and local government know that technology is changing at a rapid pace. Generative artificial intelligence (AI) and other advanced technologies present more opportunities for institutions and agencies to make data-driven decisions, accelerate research, create personalized and convenient student and citizen services, automate processes, and more. But how can you turn these opportunities into reality? That’s the central theme of this year’s AWS IMAGINE conference for education, state, and local leaders presented by Amazon Web Services (AWS).

About 4.5 million electroencephalogram (EEG) tests are performed in the US each year. That’s more than if every person in Oregon, Connecticut, or Iowa got an EEG. Because they provide insights into brain activity and not just structure, EEGs are one of the most common tests ordered by doctors to help make a diagnosis for people with brain problems. The Brain Data Science Platform (BDSP), hosted on Amazon Web Services (AWS), is increasing EEG accessibility through cooperative data sharing and research enabled by the cloud. Read this post to learn more.

The Natural History Museum in London is a world-class visitor attraction and a leading science research center. NHM and Amazon Web Services (AWS) have worked together to transform and accelerate scientific research by bringing together a broad range of UK biodiversity and environmental data types in one place for the first time. In this post, the first in a two-part series, we provide an overview of the NHM-AWS project and the potential research benefits.

Amazon Web Services (AWS) works with higher education institutions, research labs, and researchers around the world to offer cost-effective, scalable, and secure compute, storage, and database capabilities to accelerate time to science. In our work with research leaders and stakeholders, users often ask us about best practices for leveraging cloud for research. In this post, we dive into five common questions we field from research leaders as they build the academic research innovation centers of the future.

In 2022, Emory launched the AI.Humanity initiative to explore the societal impacts of artificial intelligence (AI) and influence its future development to serve humanity. Emory aims to be a leading advocate for ethical use of AI and a top destination for students and faculty seeking to understand and apply its transformative technologies. Read this blog post to learn how Emory uses Amazon Web Services (AWS) to support the computing needs of AI.Humanity.

Applications and user experiences are poised to be reinvented with generative artificial intelligence (AI), and the public sector is no exception. Governments, education institutions, nonprofits, and health systems must constantly adapt and innovate to meet the changing needs of their constituents, students, beneficiaries, and patients. If used responsibly, this powerful technology can open doors to endless possibilities to increase creativity, productivity, and progress.

The University of Pittsburgh, the University of Illinois Urbana-Champaign (UIUC), the University of California Davis Health Cloud Innovation Center (UCDH CIC)—powered by Amazon Web Services (AWS)—and the AWS Digital Innovation (DI) team have built a prototype that uses machine learning (ML) and generative artificial intelligence (AI) to transform the public health communications landscape by giving officials the tools they need to fight medical misinformation, disinformation, and malinformation.

Japan’s Mount Fuji is famous for its height and width but it’s also reachable by novice hikers without lots of time on their hands due to the nation’s efforts to make it accessible. Now, the researchers behind one of the world’s fastest supercomputers, Fugaku, which is another name for Mt. Fuji, are trying to make the supercomputer just as accessible on the Amazon Web Services (AWS) Cloud. Read this post to learn more.

The Pacific Northwest National Laboratory (PNNL) developed Aether as a reusable framework for sharing data and analytics with sponsors and stakeholders. Aether is a mature cloud-centered framework designed using Amazon Web Services (AWS) serverless services to provide a cost-effective and reliable environment for a dozen projects currently deployed with the framework. Read this post to learn more about how Aether’s serverless-first approach is enabling disaster response and risk management.