Category: Artificial Intelligence

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 Comprehend Medical is a natural language processing (NLP) service that simplifies the use of machine learning (ML) to extract relevant medical information from unstructured text often found in clinical charts or doctor’s notes. Since the service launched in the AWS Canada (Central) Region in June 2019, it opened up possibilities for Canadian healthcare organizations to better serve patients. Vancouver General Hospital (VGH) and University of British Columbia (UBC) researchers are among the organizations who leverage Amazon Comprehend Medical and Amazon SageMaker, to create their own machine learning models that can triage x-rays to provide a better healthcare experience.

Best Friends Animal Society, a leading national animal welfare organization dedicated to ending the killing of dogs and cats in America’s shelters, is going all-in on AWS as its standard for machine learning workloads.

How can organizations build and execute artificial intelligence strategies, addressing current and future mission needs? Tune in July 30th, to Government Matters’ webinar “Building Blocks of AI – Government Innovations” to hear how federal agencies are actively preparing data to take advantage of emerging technologies like artificial intelligence and machine learning. Sponsored by AWS, this hour-long, two-part webinar features technology decision-makers from federal civilian agencies and the U.S. Department of Defense discussing the mission-critical applications of artificial intelligence and machine learning.

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).

As a leading video and active learning platform company for higher education, the Echo360 team works every day to develop new and better ways to use technology to enhance learning and improve the student experience. For example, using the Echo360 platform’s analytics, instructors are able to tell when students are most engaged – allowing classes to be tailored to what students find most engaging and helpful.

AWS Educate is committed to providing students and educators with resources needed to accelerate cloud learning, which is why we have collaborated with Udacity – an online education provider for lifelong learners – to bring our members access to skills, knowledge, and practice for today’s machine learning technology. Beginning on May 18th, AWS Educate members will receive an exclusive benefit of $200 worth of free content on their Machine Learning Engineer Nanodegree Program. With Udacity, AWS Educate members can master valuable machine learning skills and use their AWS Promotional Credits to gain hands-on experience with cutting-edge AWS Machine Learning technologies like Amazon SageMaker.

Amazon Polly, a Text-to-Speech service, is now available in the AWS GovCloud (US) Region, Amazon’s isolated cloud region built for sensitive data and regulated workloads. Powered by advanced deep learning technologies, Amazon Polly is a service that turns text into lifelike speech. With dozens of natural sounding male and female voices across a wide variety […]