AWS Public Sector Blog

Category: HAQM EC2

NYU Langone Center increases MRI accessibility through cooperative data sharing and research

About 40 million MRI scans are performed in the United States every year. MRIs are a valuable part of diagnostic plans, but as they exist today, they may not always be a part of a patient’s care plan. A research team at the New York University (NYU) Langone Center set out to make MRIs more accessible for more patients by using artificial intelligence (AI), machine learning (ML), and the power of cooperative open data sharing.

Open data on AWS supports sustainable agricultural practices and crop optimization

With a rapidly growing population, the world is increasingly dependent on the ability to develop and maintain sustainable agriculture and healthy environments. Learn how BASF Digital Farming is leveraging both National Oceanic and Atmospheric Administration (NOAA) weather data hosted on AWS, and commercial weather data, to develop digital solutions to help farmers effectively monitor and manage their fields, and help drive farm sustainability.

Encryption in transit for public sector

Encryption-in-transit for public sector workloads with AWS Nitro Enclaves and AWS Certificate Manager

Government, education, nonprofit, healthcare, and other public sector organizations process and store sensitive data including health records, tax data, PII, student data, criminal justice information, and financial data. These workloads carry stringent security and compliance requirements to protect the confidentiality, integrity, and availability of this data both in transit and at rest. Best practices for protection of data in transit include enforcing appropriately defined encryption requirements, authenticating network communications, and implementing secure key and certificate management systems. In this post, I demonstrate a solution for deploying a highly available and fault tolerant web service with managed certificates and TLS termination performed on customer-managed EC2 Nitro instances using ACM for Nitro Enclaves.

two women working on laptop

People’s Association in Singapore improves upskilling experiences for communities

People around the world rely on continuing education and upskilling courses to build on their existing knowledge and learn new, industry-specific skills sets. In Singapore, Community Centres (CCs) and Resident Committees (RCs) offer a variety of upskilling courses for residents. CCs and RCs are part of the network of the People’s Association (PA), a Singaporean statutory board with a mission to build and bridge communities. To improve CCs’ and RCs’ time-intensive, manual process of course administration, PA and HAQM Web Services (AWS) Partner, Tata Consultancy Services (TCS), launched a cloud-based web portal in November 2019.

A "cryptic pocket" inside the main protease, identified during Folding@home simulations.

Crowdsourcing a cure for COVID-19: How the cloud and Folding@home are accelerating research and drug discovery

Today more than 200,000 volunteers around the world are helping accelerate research toward COVID-19 therapies—by walking away from their computers. That’s because of a concept called distributed computing, which allows anyone with a home computer, laptop, or virtual machine to contribute computing power to a common cause. This month, nonprofit Folding@home has started sharing one of the world’s largest public protein simulation databases as an AWS Open Data Set so that researchers around the world can easily access this data to speed up the search for therapies for COVID-19.

The Water Institute of the Gulf runs compute-heavy storm surge and wave simulations on AWS

The Water Institute of the Gulf runs its storm surge and wave analysis models on HAQM Web Services (AWS)—a task that sometimes requires large bursts of compute power. These models are critical in forecasting hurricane storm surge event (like Hurricane Laura in August 2020), evaluating flood risk for the Louisiana and other coastal states, helping governments prepare for future conditions, and managing the coast proactively.

pFaces targets heterogenous hardware configurations (HWCs) combining compute nodes (CNs) of CPUs, GPUs and hardware accelerators (HWAs). A web-based interface helps developers design parallel algorithms and run them on targeted HWCs.

TUM researcher finds new approach to safety-critical systems using parallelized algorithms on AWS

Mahmoud Khaled, a PhD student at TUM and a research assistant at LMU, researches how to improve safety-critical systems that require large amounts of compute power. Using AWS, Khaled’s research project, pFaces, accelerates parallelized algorithms and controls computational complexity to speed the time to science. His project findings introduce a new way to design and deploy verified control software for safety-critical systems, such as autonomous vehicles.

Dr. Nicholas Chilton and his research group at The University of Manchester’s Department of Chemistry in the School of Natural Sciences.

How researchers at The University of Manchester explore magnetic properties of molecules with the AWS Cloud

Dr. Nicholas Chilton and his research group at The University of Manchester’s Department of Chemistry in the School of Natural Sciences investigate the magnetic properties of molecules for high-density storage, quantum computing, and applications like MRI contrast agents. He turned to the cloud when the university’s onsite HPC cluster couldn’t provide the high-throughput compute power needed to answer his research questions.

To democratise educational access and experience for millions of students worldwide, CDSM depends on the cloud

CDSM Interactive Solutions Ltd (CDSM), founded in 1998, is a multi-faceted EdTech company that provides bespoke e-learning services and Thinqi, a next generation learning management system (LMS), to the state education sector. We spent some time with two of CDSM’s more senior colleagues, Steve Finch, Head of Marketing, and Darren Wallace, Chief Technical Officer, both of whom have been with CDSM since the early 2000s.