Tag: Artificial Intelligence

The University of Illinois Urbana-Champaign (UIUC) believes that technology is a powerful tool for driving results and innovation on campus. Their chief information officer, Mark Henderson, developed a task force—called the Data and Technology Innovation Lab—to identify department challenges and task individuals to build innovative solutions using technology. One area where UIUC identified an opportunity was sports analytics using machine learning (ML). Learn more about how UIUC was inspired by what they were seeing in professional sports, using data to shift their approach to coaching football.

Artificial intelligence (AI) solutions are helping solve some of the biggest short- and long-term challenges within the public sector. But how can you quickly identify new AI-powered opportunities and use cases to solve unique and specific challenges within your organization? AWS AI and ML Week, taking place from September 14-18, includes seven curated webinars from introductory to expert level. Whether you’re new to AI or an experienced machine learning developer, attend our webinars and dive into some of the most common AI use cases for the public sector from this year.

Ecree, an AWS EdStart Member, was founded by educators who believed the way we teach students to write is broken. The volume of work a teacher is being asked to do means students don’t always get the necessary attention and feedback required to develop their writing skills. Ecree’s founding team set out to support teachers and students by creating the world’s first rules-based tool that assesses student writing in the same way a highly trained professor does, on-demand. The solution uses cloud technologies including machine learning (ML), artificial intelligence (AI), and voice technology to help improve student writing.

Artificial intelligence (AI) and related technologies including machine learning (ML) and deep learning (DL) can transform the way government agencies operate and enable them to provide improved citizen services. AWS Partner Network Partners have been working with AWS to accelerate solutions development using AI and related technologies for our public sector customers. To further assist partners in the acceleration of AI and ML, AWS is launching a new partner initiative: the AI and ML Rapid Adoption Assistance Initiative.

Research computing has come a long way from the mainframes of the 1960s. At the recent Practice and Experience in Advanced Research Computing (PEARC) conference, I noted four emerging themes that underscore how the field continues to evolve.

AWS is committed to helping our customers address the challenges brought about by COVID-19. In the months since the pandemic started, we have helped governments and organizations around the world accelerate efforts to track the virus, understand its outbreak, and better contain its spread. These are principles that have been reinforced by the World Health Organization (WHO). With the number of worldwide cases continuing to rise at an alarming rate, there is a global imperative to discover, test, and isolate patients in order to slow the viral spread, save lives, and fully reopen economies. To meet this public health imperative, governments are expanding their use of a well-established technique called ‘contact tracing’.

In June, Australian startup and AWS EdStart Member Dystech, launched the world’s first screening app for dyslexia and motor dysgraphia. Dyslexia and dysgraphia impact between 10-20 percent of individuals worldwide. With this release, Dystech has the opportunity to change lives and accelerate testing for millions of individuals around globe. Dystech uses artificial intelligence (AI) and machine learning (ML) to create an app that transforms how education and healthcare organizations screen for this disorder.

Chesterfield County Public Schools (CCPS) in Virginia uses machine learning on Amazon Web Services (AWS) to predict the county’s rate of chronic absenteeism in high schools. CCPS includes 64 schools and over 63,000 students. They started with a high-impact project that would use data the school system was already capturing about its students. to tackle predicting chronic absenteeism.

State governments are currently experiencing a spike in the number of applications for social benefit programs. These programs serve millions of people every year to support healthcare and to help keep them out of poverty. To address the surge, agencies are looking at cloud-based services including artificial intelligence (AI), conversational bots, and call centers to improve the customer experience as well as workforce productivity, provide more visibility for agency leadership into program performance, and help reduce fraud, waste, and abuse.

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.