Category: Artificial Intelligence

For the second year, Scratch and the Amazon Web Services (AWS) Educate program built a new activity for Code.org’s Hour of Code, the annual global event to introduce students to computer science. Held annually during Computer Science Education Week on December 9-15, the Hour of Code is designed to demystify “code,” show that anybody can learn the basics, and broaden participation in the field of computer sciences.

Machine learning (ML) is one of the fastest growing areas in technology. AWS DeepRacer helps anyone get started with ML through autonomous driving. Tyler Technologies, an Amazon Web Services (AWS) Partner Network (APN) partner held a DeepRacer event at their annual internal conference, Tyler Mesh, in September in Indianapolis, Indiana, to help their organization learn about ML and ML on AWS.

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.

ServerCentral Turing Group (SCTG), an Amazon Web Services (AWS) Advanced Consulting Partner, recently held a self-driving car challenge open to all employees. After the 2018 acquisition of Turing Group by ServerCentral, the AWS Public Sector Partner aimed to use the competition to unite the two legacy companies, while also building expertise across AWS services. Over […]

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.