Category: Amazon Machine Learning

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.

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.

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.

Our cities are becoming smarter and faster every day, and as the modern city evolves so does its transportation offerings. By migrating transportation services to the cloud, cities can evolve to meet constituents’ transportation needs. To meet a modern-day travelers’ expectations, the cloud drives innovation by providing real-time analytics and predictive modeling that can make transportation easier and faster.

United Arab Emirates-based global EdTech Alef Education is on a mission to digitally transform the education sector to support its most valuable resource: teachers. The United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics estimates that the world needs almost 69 million new teachers by 2030 to meet the deadline of the United Nations Sustainable Development Goal for quality education. But according to latest projections, the world will fail its education commitments without addressing the teacher shortage.

At the Amazon Web Services (AWS) Public Sector Summit in Washington, DC, AWS employees shared and demonstrated our newest homegrown AWS innovations in the AWS Builders Fair. These demos featured real-world use cases for government, education, and nonprofits. Using artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), natural language processing, and robotics, the demos show how technology can help address issues from recycling to translation to safe transportation. Check out the top six Builders Fair demos, now on our YouTube channel.

Amazon Web Services (AWS) and the Disruptive Innovators Network (DIN) hosted the first competitive social housing hackathon this past May in London. Four UK housing associations – including Great Places, Places for People and Metropolitan Thames Valley – were teamed with members of the AWS Partner Network (APN), and had 36 hours to analyse one of four housing problems and hack a solution.

Amazon announced the 11 focus areas of the 2019 Amazon Research Awards, a program that provides up to $80,000 in funding and up to $20,000 in Amazon Web Services (AWS) Promotional Credits to academic researchers investigating topics related to machine learning (ML).