Category: Artificial Intelligence
Students from two secondary schools on opposite sides of the world used AWS DeepRacer to learn about machine learning (ML). Using AWS DeepRacer, students from a school in Vancouver, Canada and Instanbul, Turkey learned how to design, train, and deploy a model car using ML. These students competed on virtual racetracks against each other—all within the AWS Management Console.
Streetlives, a nonprofit organization based in New York City, uses technology to host a community-built web app for people who are homeless, communities considered vulnerable, and social service providers in New York City (NYC). Streetlives is a community-built mobile website that enables people who are homeless or in poverty to easily find, rate, and recommend social services across New York City. Adam Bard, Founder of Streetlives, explains how AWS Promotional Credits helps the organization deliver up-to-date, validated social service information to the communities of New York City.
Academic medical centers (AMCs) are under pressure to reduce costs, innovate at scale, and improve operational performance. To do this, they’re turning to the cloud. Two AWS Partner Network (APN) Public Sector Partners used the cloud to create solutions for AMCs that use large datasets to help advance medical research and analyze genomic data. Learn how these two partners are building solutions in the cloud to help AMCs further their mission.
Far above the clouds, one of the fastest growing missions for the public sector is taking place. Technological advances and open data initiatives provide new paths to explore space, impacting our lives here on Earth. From satellites to rovers, cloud computing and cloud-enabled technologies help us find answers to our biggest questions.
Amazon Web Services (AWS) launched Amazon CodeGuru (Preview), a machine learning service for automated code reviews and application performance recommendations, at AWS re:Invent 2019. The new service helps development teams find code defects or performance issues and gives recommendations to improve code quality, saving time and expense.
As the world grapples with COVID-19, researchers and scientists are united in an effort to understand the disease and find ways to detect and treat infections as quickly as possible. Today, Amazon Web Services (AWS) launched CORD-19 Search, a new search website powered by machine learning that can help researchers quickly and easily search tens of thousands of research papers and documents using natural language questions.
From accelerating genomics research to addressing the teacher shortage to improving commutes, artificial intelligence (AI) and machine learning (ML) are fueling digital transformation in the government, education, nonprofit, and healthcare sectors. Austin Tanney, head of AI at Kainos, shared his ML learnings and where he sees the technology going.
AWS EdStart Members are on a mission to bridge the personalized learning gap between students and educational institutions through artificial intelligence (AI)-powered platforms built on Amazon Web Services (AWS). These organizations are enabling students to follow their own learning pathways across writing, math, and reading, at their own pace, anytime, and anywhere. Learn about these three AWS EdStart Members and how they adapt to student learning and virtually assist self-study.
I grew up in a farming community in Kentucky, and understand how critical agriculture is to the development of a thriving and robust economy. So what can technology do to make farming and agriculture more sustainable and climate-resilient? How can we make sure crops are high quality and high yield? How do we make sure that we get them to market when they are fresh? How can we improve the way farmers interact with each other? Our customers are helping to answer these questions.
University Hospitals of North Midlands Trust’s Breast Care Unit approached Redmoor Health to discuss innovative ways to improve patient engagement. Turning to social media, the Health Innovation Campus at Lancaster University, Redmoor Health, and the National Health Service (NHS), began using Facebook to reach the at-risk demographic (women 49+ years old). Through this collaboration, they saw the number of patients attending vital breast screening appointments increase by 13% – among the best in the country.