Category: Higher education

This week, Amazon Web Services (AWS) announced two new AWS Cloud Innovation Centers (CICs) in Bahrain at the University of Bahrain (UoB) and at Bahrain Polytechnic (BP). Teresa Carlson, vice president of worldwide public sector at AWS, made the announcement at the annual re:Invent conference in Las Vegas. Both CICs will be supported by Tamkeen, a public authority in Bahrain focused on workforce development.

Royal Melbourne Institute of Technology (RMIT) University in Australia announced the launch of its Cyber Ready Cloud Innovation Centre (CIC). The CIC will focus on cloud-based cyber security solutions, enabling students to tackle cyber issues in the real world through innovative cloud computing approaches and emerging technology.

Oklahoma State University in Oklahoma City (OSU-OKC), a two-year, technical-focused college, has historically faced challenges with consistent reporting, database management, and analytics. Technology generalists hired to do these tasks required extensive training to successfully extract data from traditional student information systems, manipulate data for state and federal compliance reporting, and generate limited campus reporting for operational or academic program review and analysis.

Virginia Tech wanted to build a modern data warehouse to complete new requests and quickly answer difficult questions in order to make more informed decisions. To do this, we turned to AWS. We were looking for a way to build forecasting models faster so we could quickly react to changing conditions.

In collaboration with Amazon Web Services (AWS) and NVIDIA, Arizona State University (ASU) hosted its first-ever robotics hackathon. At the Arizona Robo Hackathon, 64 undergraduate and graduate students across seven institutions came together to compete in an Arizona statewide competition hosted on AWS. By the end of the hackathon, students successfully applied their knowledge of computer science, engineering, and programming skills in robotics and artificial intelligence (AI) application development.

Ellucian announced the launch of a new initiative in collaboration with Amazon Web Services (AWS) designed to both streamline and accelerate digital transformation and cloud adoption for higher education. The initiative – the Cloud Acceleration program – is available for a limited time to all Ellucian Banner and Ellucian Colleague on-premises customers considering moving to the cloud during 2020.

This month, Amazon Web Services (AWS) and California IT in Education (CITE, formerly CETPA) announced the new California AB 1584 Compliance Addendum, a contract addendum available to AWS customers in California that are required to affirm compliance with California Assembly Bill 1584 (AB 1584) in California Education Code Section 49073.1.

Machine learning (ML) isn’t just for the technology industry. Today, machine learning influences research and consumer products and is leading to breakthroughs across industries like healthcare, manufacturing, finance, and retail. In the field of reinforcement learning, machine learning meets the real world when applied to robotics. Knowing this, how can we ensure students are skilled and prepared to leverage the power of this technology?

During Homecoming 2019, the California State University, Fresno (Fresno State) Hub of Digital Transformation showcased the Bulldog Bot – a robotic take on the school mascot – built with Amazon Web Services (AWS) RoboMaker and AWS artificial intelligence (AI) services. The interactive Bulldog Bot engaged fans across campus by telling jokes, playing karaoke, and answering Fresno State homecoming trivia questions.

Cryo-electron microscopy (cryo-EM) — the technology that won the 2017 Nobel Prize in Chemistry — lets scientists peer into the molecular “machines” at work in our cells in ways that were previously impossible. Using advanced microscopes, cryo-EM captures images of proteins flash-frozen in vitreous ice, revealing their 3D structure in near-native states. Even as access to this technology improves, many researchers are still limited by computing bottlenecks. The cryo-EM field needs to provide more hands-on training in how to process such large datasets. Amazon Web Services (AWS) allows us to provide training, broadening the impact of this important structural biology technology.