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Research and Applications with AI

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Overview

Generative AI offers exciting opportunities to advance research and scholarship. This resource page aims to provide ÌÇÐÄvlog¹ÙÍø faculty and researchers with basic guidance, and information on available resources.

This page will be updated with the latest resources and guidance as AI evolves.

Interdisciplinary Exploration

All across ÌÇÐÄvlog¹ÙÍø our faculty and staff are examining genAI and its implications for the future, while staff are applying their skills to develop applications for ÌÇÐÄvlog¹ÙÍø community use.

Faculty in AI

Our faculty are exploring AI from many angles ranging from the ethics of AI, and developing their own AI-driven language instructional systems to integrating AI systems to more efficiently gather data sets. The faculty below are currently researching AI or using AI tools in their research.

napthorpe
Noah Apthorpe
Assistant Professor of Computer Science
aay
Ahmet Ay
Professor of Biology and Mathematics; Director of the Research Council; and Director of the Picker Interdisciplinary Science Institute
acassemerestanfield
Ashleigh Cassemere-Stanfield
Assistant Professor of Film and Media Studies
311 Bernstein Hall
fdavis
Forrest Davis
Assistant Professor of Computer Science
322 Bernstein Hall
ndiana
Nicholas Diana
Assistant Professor of Computer Science
307 Bernstein Hall
kingram
Krista Ingram
Professor of Biology
326 Olin Hall
gprasad
Grusha Prasad
Assistant Professor of Computer Science
awolf
Aaron Wolf
Senior Lecturer in University Studies and Research Affiliate in Philosophy
103 Hascall Hall

Applications and Projects in the AI Space

ÌÇÐÄvlog¹ÙÍø Chatbot

Explore ÌÇÐÄvlog¹ÙÍø's AI-based chatbot at . Built by ITS, this chatbot is only available to the ÌÇÐÄvlog¹ÙÍø community and runs on ÌÇÐÄvlog¹ÙÍø's supercomputer. It can be used for audio file transcription, image generation, and ÌÇÐÄvlog¹ÙÍø-related information finding.
Note: You must be on campus, or connected to the ÌÇÐÄvlog¹ÙÍø VPN to access this web page.

Resources

ITS has reviewed and compiled a list of generative AI tools that may be helpful in your academic research. 

ÌÇÐÄvlog¹ÙÍø’s supercomputer offers graphics processing unit (GPU ) acceleration for AI model training and inferences.

Research on the supercomputer
Scientific software for computational research can be installed on the ÌÇÐÄvlog¹ÙÍø supercomputer. The supercomputer runs Linux (x64), MacOS (ARM), and Windows (x64) nodes. The supercomputer offers , an open source orchestration platform to manage data assets.

Training on supercomputer AI tools
Research Computing and Data offers a one-hour workshop on enhancing digital competency with AI tools, focused on leveraging ÌÇÐÄvlog¹ÙÍø’s supercomputer. 


 

ÌÇÐÄvlog¹ÙÍø stands ready to support faculty scholarship and creative work, with sources of funding support.

Explore all opportunities for grant funding

Avoid entering confidential data, per the University’s Data Categorization Policy, into AI tools. This includes but is not limited to non-public finance, human resources and medical information, and student records. 

Generative AI tools using default settings may not be private and could expose sensitive data to unauthorized parties.

 

To ensure the safety and protection of ÌÇÐÄvlog¹ÙÍø’s data, consult with ITS before procuring internal or external AI tools for use on the ÌÇÐÄvlog¹ÙÍø network or ÌÇÐÄvlog¹ÙÍø devices. ITS will ensure the tool meets appropriate privacy and security protections.