AWS Public Sector Blog
Tag: Machine Learning
Enhancing K12 learning through robotics: AWS EdStart Hot Startups
Robotics and machine learning (ML) aren’t just for the technology industry. Robotics are being used in education to advance student learning through one-to-one support, adaptive learning algorithms, and immediate feedback mechanisms within K12 schools. Robots can use ML algorithms to adapt to student learning styles, teaching children to code through interactive, fun games and supporting core curriculum in classrooms with high student to teacher ratios. These four Amazon Web Services (AWS) EdStart Members are using robotics to revolutionize K12 education.
Five ways to use AWS for research (starting right now)
If you are a scientific researcher, you are likely more interested in getting your research done than in the computational resources that you use to do it. You may think about ways to continue your research remotely with the rise in remote work. Did you know the cloud and Amazon Web Services (AWS) can accelerate your research and time to science? Here are five ways.
Using artificial intelligence and machine learning to advance medical research
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.
Mission: Exploring Earth to space
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.
Lower AWS expenses with Amazon CodeGuru runtime optimizations
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.
AWS launches machine learning enabled search capabilities for COVID-19 dataset
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.
Resources for researchers and institutions to work remotely
The rapidly changing and dynamic global health situation has impacted the lives of many people including researchers at universities and institutions worldwide. Many academic institutions are migrating to remote operations. Researchers are processing data, collaborating online, and trying to maintain labs remotely. Amazon and AWS are responding to these events in support of our communities and deploying resources and technology to enable remote learning and home working.
Exploring the future of AI and ML in the public sector
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.
Using the AWS Cloud to restore ecosystems around the world
The world’s forests have decreased by nearly half since the onset of human civilization. Deforestation is continuing at a high rate due to agricultural pressure, poor land management, and climate change, which increases drought, disease, and invasive species. But a new generation of technologies is transforming our ability to manage and grow forests. The unprecedented level of data enables ecology-trained artificial intelligence (AI) to inventory the ecosystem and identify problems like plant condition stress, invasive weeds, species decline, and erosion. Learn how Dendra Systems is using the cloud to restore ecosystems around the world.
Mission: Technology-enabled, sustainable agriculture
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.