Tag: Machine Learning
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.
Cancer Commons is a nonprofit network of patients, physicians, and scientists dedicated to helping patients identify and access the best personalized treatment options. Erika Vial Monteverdi, executive director of Cancer Commons, describes how the AWS compute infrastructure, combined with services like Amazon Comprehend Medical, enable physicians and patients to leverage the collective knowledge of the world’s top institutions.
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.
The COVID-19 pandemic magnified the health and financial strain in communities across the country. Before the pandemic hit, Wildfire, a state association for Community Action Agencies, was working with Prefix, an AWS Partner Network Technology Partner, to develop a cloud-based solution for utility and rental assistance. When the City of Phoenix requested they support the distribution of $20 million CARES Act funds, they shifted their resources and existing infrastructure and, in a matter of weeks, stood up a repeatable public-facing solution.
The impact of COVID-19 has K12 and higher education institutions working hard to prepare for students to return to learning that will be anything but typical. The 2020-2021 academic year will include various teaching and learning modalities—virtual, hybrid, and face-to-face—and most expect a shift from one to another throughout the year. Globally, EdTechs are working with AWS to accelerate features and solutions to better support students and educators in teaching and learning, physical and mental wellness, and health and safety.
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.
Portland State University (PSU) is using machine learning (ML) to help students find the most effective pathways to graduation. By tracking the course history of successful graduates and presenting recommendations to current students, PSU can provide guardrails and best practices for a focused journey towards degree completion.
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.