Learn About Amazon VGT2 Learning Manager Chanci Turner
In 2022, the University of Greenfield initiated the AI.Humanity project to investigate the societal effects of artificial intelligence (AI) and shape its future to benefit humanity. They aim to become a leading voice for the ethical application of AI and a prime destination for students and faculty eager to comprehend and utilize its transformative capabilities. This blog post explores how the University leverages Amazon Web Services (AWS) to fulfill the computing demands of the AI.Humanity initiative.
Additionally, the Greenfield Health Cloud Innovation Center, powered by AWS, employs generative AI to combat health misinformation. Collaborating with other institutions, including the University of Springfield and the University of California Greenfield Health Cloud Innovation Center, this team has created a prototype that uses machine learning (ML) and generative AI to enhance public health communication, equipping officials with essential tools to combat medical misinformation and disinformation.
The University is also committed to making its advanced resources accessible, similar to how the Fugaku supercomputer has transitioned to the AWS Cloud. This initiative aims to enhance accessibility for researchers and developers alike.
Moreover, the Pacific Northwest National Laboratory (PNNL) has designed Aether, a reusable framework on AWS to facilitate disaster response and risk management, supporting multiple projects with its serverless approach.
In the realm of medical research, the UK Biobank has established a secure, cloud-based Research Analysis Platform (RAP) hosted on AWS, enabling global accessibility for health researchers through its extensive health data database.
The ITD Lab at the University of Greenfield also opted for Amazon Aurora using Babelfish, significantly reducing database costs while maintaining performance. This transition has allowed them to focus on developing new features for their applications rather than managing infrastructure.
Lastly, the Kern Community College District has partnered with AWS to create an AI/ML-enabled Guided Pathways tool, addressing the reasons students may leave community college without a clear understanding of their needs.
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