This spring we launched a new series of Google Cloud AI & Research Days at Google’s regional US offices. Each event is designed to help local researchers and industry experts innovate, network and learn from each other in person, with presentations from thought leaders, demonstrations of Google solutions, and open-ended time for chatting and networking. By providing an opportunity to share problems and explore solutions, Google Cloud aims to facilitate collaboration and jumpstart new breakthroughs. In March the inaugural session in San Diego focused on biomedical research; the next three in Austin in April, Atlanta in May, and New York City in June all focused on AI innovation. At each AI & Research Day, scientific researchers, IT leaders, and Google experts gathered together to advance the common goal of scientific discovery.
In San Diego, participants heard:
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How ITS leaders from the University of California, Riverside (UCR) developed an innovative research funding model that helps UCR researchers cut costs and avoid the queues for time and computing capacity on supercomputers. With a flexible, fixed cost subscription model for Google Cloud access, ITS can respond quickly and at scale to enterprise and research needs.
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How a pilot study of a mouse brain showed researchers at the Salk Institute that cloud computing could transform the institute’s computing infrastructureand improve workflows. As a result, Salk launched a five-year $23 million initiative to accelerate their transition to cloud infrastructure.
In Austin, participants learned about:
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How Katana Graph uses Google Cloud’s Kubernetes and Vertex AI to build a scalable AI platform optimized for graphing on massive connected datasets. The platform helps their customers from precision medicine to banking deliver faster and more accurate results.
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How Texans Connecting Overdose Prevention Efforts (TxCOPE) partnered with Google Cloud to develop an app that integrates data sources, visualizes community impact, and organizes interventions and supports to reduce opioid deaths. The app disseminates information and resources that can lead to treatment and save lives.
In Atlanta, participants discussed:
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How to design and scope generative AI technologies responsibly with students, researchers, faculty, and staff first in mind.
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How the Responsible AI organization at Google works to advance interdisciplinary research.
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How Form Bio, a leading biotech firm, partnered with Google Cloud to provide scientific data management and workflow solutions in the synthetic biology and gene therapy fields.
In New York City, participants discovered:
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How Google’s HPC solutions can drive impact at scale, with speed, security, and cost efficiency
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How Google tools like Vertex AI can detect patterns and anomalies in massive datasets to help prevent cybercrime.
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How NYU’s Research and Technology Services modernized their cyber infrastructure on Google Cloud to serve research faculty around the globe as well as drive core missions like sustainability.
To attend the next Google Cloud AI & Research Day, register here for San Francisco on August 31. More cities will be announced for fall workshops.