Tag: Machine Learning

The NYUMets team, led by Dr. Eric Oermann at NYU Langone Medical Center, is collaborating with AWS Open Data, NVIDIA, and Medical Open Network for Artificial Intelligence (MONAI), to develop an open science approach to support researchers to help as many patients with metastatic cancer as possible. With support from the AWS Open Data Sponsorship Program, the NYUMets: Brain dataset is now openly available at no cost to researchers around the world.

Nonprofit organizations focus on a specific mission to impact their members, communities, and the world. In the nonprofit space, where resources are limited, it’s important to optimize the impact of your efforts. Learn how you can apply machine learning with Amazon Redshift ML on public datasets to support data-driven decisions optimizing your impact. This walkthrough focuses on the use case for how to use open data to support food security programming, but this solution can be applied to many other initiatives in the nonprofit space.

Ground-based, extremely large telescopes (ELTs), such as the Giant Magellan Telescope (GMT), will play a crucial role in modern astronomy by providing observations of the universe with remarkable clarity and detail. However, managing the vast amount of data generated by these instruments and supporting optimal performance can be a challenging task. AWS provides a suite of cloud-based solutions that can help address these challenges and streamline ELT operations. Learn how various AWS services can be used to optimize data storage, management, and processing, as well as advanced monitoring and remote continuity techniques, leading to improved overall performance and efficiency for ELTs.

Geospatial data, including many climate and weather datasets, are often released by government and nonprofit organizations in compressed file formats such as the Network Common Data Form (NetCDF) or GRIdded Binary (GRIB). As the complexity and size of geospatial datasets continue to grow, it is more time- and cost-efficient to leave the files in one place, virtually query the data, and download only the subset that is needed locally. Unlike legacy file formats, the cloud-native Zarr format is designed for virtual and efficient access to compressed chunks of data saved in a central location such as Amazon S3. In this walkthrough, learn how to convert NetCDF datasets to Zarr using an Amazon SageMaker notebook and an AWS Fargate cluster and query the resulting Zarr store, reducing the time required for time series queries from minutes to seconds.

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. Through this program, customers are making over 100PB of high-value, cloud-optimized data available for public use. As April 22 is Earth Day, the AWS Open Data team wanted to highlight some new datasets from our geospatial and environmental communities of practice, as well as the other new or updated datasets available now on the Registry of Open Data on AWS and also discoverable on AWS Data Exchange.

Nonprofit organizations are increasingly using videos to fundraise, raise awareness, and attract new members or donors. But storing large quantities of video has traditionally meant purchasing and maintaining expensive hardware, while cataloging large video collections can be a time-consuming task. The Media2Cloud on AWS solution in the AWS Solutions Library can help nonprofit organizations store, catalog, and search their video libraries in a way that is cost-effective, and that scales to meet any need. In this blog post, learn how Media2Cloud works and how your organization can use it to support your video program.

Each year, US federal, state, and local government agencies spend a significant part of their budgets on various social and safety net programs. Tens of millions of residents apply for these benefits every year. In these applications, documents—in various sources, formats, and layouts—are the primary tools for application assessment. Artificial intelligence (AI) technology can accelerate and simplify the application review process, improving both the case worker and applicant experience. Learn how public sector agencies can leverage AI offerings from AWS, like Amazon Textract and Amazon Comprehend, to process multiple documents in benefit application use cases in an intelligent document processing (IDP) workflow.

As investments and adoption of artificial intelligence (AI) and machine learning (ML) continue to rise, there is tremendous potential for improved citizen experiences in the public sector. As government, education, and nonprofit organizations seek solutions for their challenges, AWS Partners are at the forefront of helping to solve those problems using AI and ML. Discover four AWS Partners using AI/ML to better society and improve lives.

Local public health departments must notify public health agencies, like state health departments or the Centers for Disease Control and Prevention (CDC), of reportable conditions. These departments receive various types of reports of healthcare conditions through email, in addition to more traditional methods such as mail, fax, or phone calls. Local health departments can dramatically reduce the time and costs associated with manually processing email attachments and improve processing efficiency using automation. In this blog post, learn how to create an automated email attachment ingestion, storage, and processing solution powered by artificial intelligence (AI) and machine learning (ML) services from AWS.

Pathology is currently undergoing a transformation. While microscopes still dominate many workflows, digital pathology combined with artificial intelligence (AI) is disrupting the space. AI tools can complement expert assessment with quantitative measurements to enable data-driven medicine. Ultivue is a healthcare technology (HealthTech) company that provides high-quality multiplex immunofluorescence assays and large-scale, AI-based computational pathology—built on AWS.