Tag: Deep Learning

Amazon Rekognition, a code-free automated machine learning (AutoML) service from Amazon Web Services (AWS), showed impeccable diagnostic performance in categorizing various retinal diseases using optical coherence tomography (OCT) scans. This blog post details the steps to use Amazon Rekognition Custom Labels to train a model that categorizes retinal diseases and the process of training and fine-tuning convolutional neural networks (CNNs), the standard deep learning methodology.

Citizens want to report issues to their local governments in a fast and simple manner and not have to worry about identifying the right government agency or phone number—for instance, if a fire hydrant is broken, or a road sign has fallen over. In this blog post, learn how to set up a solution with AWS deep learning services that creates a fluid experience for reporting and addressing these issues.

Nara Space Technology is a South Korea-based startup that builds nano satellite constellations and provides satellite data services to let customers quickly identify and address issues like changing climate conditions and disaster recovery to improve life on Earth. Nara Space provides solutions for nano satellite and small spacecraft system design, integration, development, and testing; enables satellite data analytics based on deep learning; and improves the visual quality of standard satellite imagery with its Super Resolution core technology. To do this, Nara Space uses AWS for secure, flexible, scalable, and cost-efficient cloud solutions.

Data is at the heart of healthcare, but our wellbeing is complex. It is a challenge to find the right approach when analyzing or visualizing data. Technology like text-to-speech, augmented reality (AR), and deep learning can help us better understand and explain health data. By designing solutions in the cloud, we can leverage AWS to launch and scale helpful tools as needed, paying for only what we use while keeping data secure.

The cloud can help researchers process complex workloads, store and analyze enormous amounts of data, collaborate globally, and accelerate research and innovation. For research IT, Amazon Web Services (AWS) can help build scalable, cost-effective, and flexible environments while still maintaining the governance and guardrails for security and compliance. Following best practices, AWS allows for centralized management of resources, improved security and compliance of research workloads, and can save costs and accelerate innovation. What are some common questions from research IT customers?

The COVID-19 pandemic is driving a parallel “infodemic”: the rapid spread of competing and often harmful narratives about the virus. Social media plays a central role in this infodemic, serving as a forum for the spread and evolution of theories and beliefs with origins in broadcast, print, online news, blogs, and other digital arenas. As the COVID-19 infodemic grew, Novetta used AWS to create Rapid Narrative Analysis (RNA), a solution that achieves accuracy by using human expertise at critical stages of analysis while using machine learning (ML) models to rapidly diagnose the severity of the spread of key narratives at a speed needed to take effective action.

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.

The AWS Deep Learning AMIs (Amazon machine images) are now available in AWS GovCloud (US), Amazon’s isolated cloud region built for sensitive data and regulated workloads.