University of Georgia

Powering Tomorrow

AI is powering our latest technology, expanding our research capabilities and changing the way we teach and learn. At the University of Georgia, AI is everywhere. It’s an opportunity to reach across the world—and even beyond it.

 
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UGA’s AI Tools

Access university-approved generative AI platforms and secure tools available for the UGA community.

Explore approved tools

UGA’s AI Tools

Access university-approved generative AI platforms and secure tools available for the UGA community.

Explore approved tools

 
A person working on a laptop computer with graphs and charts projected onto a wall in the background. (UGA)
 
(Front L-R) Graduate students Katie Walters, Yuri Lee and Cheryl Wilson experiment with virtual reality with (Outside L-R) professor Janette Hill, Cory Gleasman, Swagata Das and professor Ikeson (Ike) Choi observing in the Research and Innovation in Learning Laboratory (RAIL).

Resources for Faculty, Staff, and Students

Find syllabus policy language, teaching guides, student ethics guidelines, and administrative workflow support.

Find your resources

Resources for Faculty, Staff, and Students

Find syllabus policy language, teaching guides, student ethics guidelines, and administrative workflow support.

Find your resources

 
(Front L-R) Graduate students Katie Walters, Yuri Lee and Cheryl Wilson experiment with virtual reality with (Outside L-R) professor Janette Hill, Cory Gleasman, Swagata Das and professor Ikeson (Ike) Choi observing in the Research and Innovation in Learning Laboratory (RAIL).
 

UGA’s AI Policy and Guidance

Have questions about artificial intelligence? Review UGA’s artificial intelligence policy as well as guidance on various AI-related topics.

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UGA’s AI Policy and Guidance

Have questions about artificial intelligence? Review UGA’s artificial intelligence policy as well as guidance on various AI-related topics.

Learn More

 

Teach with AI

View our collection of AI resources for faculty.

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Learn with AI

View our collection of AI resources for students.

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Latest News

Researchers will gather Aug. 21 to shape how AI can help scientists analyze and share spectroscopy data The University of Georgia will host the Spectroscopy Data and AI Workshop on Friday, Aug. 21, at the Georgia Center for Continuing Education & Hotel — believed to be the first U.S. workshop dedicated specifically to integrating spectroscopy, artificial intelligence and scientific data infrastructure. The event is supported by a National Science Foundation Pathways to Enable Open-Source Ecosystems project. Spectroscopy is a powerful tool used by scientists to identify and understand materials by studying how they interact with light. By analyzing those interactions, researchers can learn about the composition and properties of substances ranging from blood and plastics to air pollutants and distant stars. The workshop brings together researchers from universities, national laboratories and industry to explore how AI can help scientists analyze and share spectroscopy data more effectively, work that could speed discoveries from environmental monitoring to materials science. Sessions will cover FAIR (Findable, Accessible, Interoperable, Reusable) data practices, trustworthy AI, and shared standards and tools for AI-enabled research. "Artificial intelligence is transforming the way scientists collect, manage and interpret research data," said Yiping Zhao, Distinguished Research Professor of Physics at UGA and workshop organizer. "By bringing together experts in spectroscopy, data science and artificial intelligence, we hope to build a national community that can accelerate scientific discovery and position researchers to tackle increasingly complex challenges." Organizers see the event as a first step toward a national network of researchers at the intersection of spectroscopy, AI and data management, creating new collaboration opportunities among universities, federal labs, and industry, and helping shape the field's research agenda going forward. The event will feature a keynote lecture by Naomi J. Halas, University Professor and Stanley C. Moore Professor of Electrical and Computer Engineering at Rice University, as part of the Provost's Seminar Series, which features highly esteemed scholars and researchers. Halas, a member of the National Academy of Sciences, the National Academy of Engineering, American Academy of Arts and Sciences and Royal Danish Academy of Science and Letters, will present "Machine Learning-Enhanced Surface-Enhanced Spectroscopies for the Detection of Toxic Environmental Contaminants" at 9:15 a.m. in Masters Hall. Her research demonstrates how physics-informed AI algorithms can identify unknown chemical compounds, advancing the development of compact environmental monitoring technologies. Additional invited speakers come from the National Institute of Standards and Technology, Brookhaven National Laboratory, the University of Illinois Urbana-Champaign and the G eorgia Institute of Technology. The program includes invited talks, a poster session and networking event, and a closing discussion aimed at building a community roadmap for AI-enabled spectroscopy research and data infrastructure. Registration is free. For program details, registration, and lodging, visit the workshop website.

UGA to host first-of-its-kind spectroscopy-AI workshop

Researchers will gather Aug. 21 to shape how AI can help scientists analyze and share spectroscopy data

A man working on a large drone in a farm field.

AI helps UGA researchers transform Georgia agriculture

At UGA, precision agriculture technologies are increasingly complemented by artificial intelligence, which helps transform vast streams of data into actionable insights.

A student holding a laptop computer with computer code on a screen in the background.

UGA launches two new AI certificates in fall 2026

Certificates in Language, Minds, and Machines and Pharmaceutical Sciences give students new opportunities to explore AI.

A student working at a desktop computer station, looking at the screen.

UGA to offer online AI literacy course for students, faculty, staff

“AI Literacy for All” will provide students, faculty, and staff with a foundational understanding of artificial intelligence.

Researchers will gather Aug. 21 to shape how AI can help scientists analyze and share spectroscopy data The University of Georgia will host the Spectroscopy Data and AI Workshop on Friday, Aug. 21, at the Georgia Center for Continuing Education & Hotel — believed to be the first U.S. workshop dedicated specifically to integrating spectroscopy, artificial intelligence and scientific data infrastructure. The event is supported by a National Science Foundation Pathways to Enable Open-Source Ecosystems project. Spectroscopy is a powerful tool used by scientists to identify and understand materials by studying how they interact with light. By analyzing those interactions, researchers can learn about the composition and properties of substances ranging from blood and plastics to air pollutants and distant stars. The workshop brings together researchers from universities, national laboratories and industry to explore how AI can help scientists analyze and share spectroscopy data more effectively, work that could speed discoveries from environmental monitoring to materials science. Sessions will cover FAIR (Findable, Accessible, Interoperable, Reusable) data practices, trustworthy AI, and shared standards and tools for AI-enabled research. "Artificial intelligence is transforming the way scientists collect, manage and interpret research data," said Yiping Zhao, Distinguished Research Professor of Physics at UGA and workshop organizer. "By bringing together experts in spectroscopy, data science and artificial intelligence, we hope to build a national community that can accelerate scientific discovery and position researchers to tackle increasingly complex challenges." Organizers see the event as a first step toward a national network of researchers at the intersection of spectroscopy, AI and data management, creating new collaboration opportunities among universities, federal labs, and industry, and helping shape the field's research agenda going forward. The event will feature a keynote lecture by Naomi J. Halas, University Professor and Stanley C. Moore Professor of Electrical and Computer Engineering at Rice University, as part of the Provost's Seminar Series, which features highly esteemed scholars and researchers. Halas, a member of the National Academy of Sciences, the National Academy of Engineering, American Academy of Arts and Sciences and Royal Danish Academy of Science and Letters, will present "Machine Learning-Enhanced Surface-Enhanced Spectroscopies for the Detection of Toxic Environmental Contaminants" at 9:15 a.m. in Masters Hall. Her research demonstrates how physics-informed AI algorithms can identify unknown chemical compounds, advancing the development of compact environmental monitoring technologies. Additional invited speakers come from the National Institute of Standards and Technology, Brookhaven National Laboratory, the University of Illinois Urbana-Champaign and the G eorgia Institute of Technology. The program includes invited talks, a poster session and networking event, and a closing discussion aimed at building a community roadmap for AI-enabled spectroscopy research and data infrastructure. Registration is free. For program details, registration, and lodging, visit the workshop website.

UGA to host first-of-its-kind spectroscopy-AI workshop

Researchers will gather Aug. 21 to shape how AI can help scientists analyze and share spectroscopy data

A man working on a large drone in a farm field.

AI helps UGA researchers transform Georgia agriculture

At UGA, precision agriculture technologies are increasingly complemented by artificial intelligence, which helps transform vast streams of data into actionable insights.

A student holding a laptop computer with computer code on a screen in the background.

UGA launches two new AI certificates in fall 2026

Certificates in Language, Minds, and Machines and Pharmaceutical Sciences give students new opportunities to explore AI.

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