Overview
Generative AI offers exciting opportunities to advance research and scholarship. This resource page aims to provide ²ÝÝ®ÊÓƵ 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 ²ÝÝ®ÊÓƵ our faculty and staff are examining genAI and its implications for the future, while staff are applying their skills to develop applications for ²ÝÝ®ÊÓƵ 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.
- T 3:30pm - 5:30pm (322 Bernstein Hall)
- R 1:30pm - 2:30pm (322 Bernstein Hall)
- M 1:00pm - 3:00pm (326 Olin Hall)
- W 1:30pm - 2:30pm (326 Olin Hall)
Applications and Projects in the AI Space
²ÝÝ®ÊÓƵ Chatbot
Explore ²ÝÝ®ÊÓƵ's AI-based chatbot at . Built by ITS, this chatbot is only available to the ²ÝÝ®ÊÓƵ community and runs on ²ÝÝ®ÊÓƵ's supercomputer. It can be used for audio file transcription, image generation, and ²ÝÝ®ÊÓƵ-related information finding.
Note: You must be on campus, or connected to the ²ÝÝ®ÊÓƵ 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.
²ÝÝ®ÊÓƵ’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 ²ÝÝ®ÊÓƵ 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 ²ÝÝ®ÊÓƵ’s supercomputer.
²ÝÝ®ÊÓƵ stands ready to support faculty scholarship and creative work, with sources of funding support.
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 ²ÝÝ®ÊÓƵ’s data, consult with ITS before procuring internal or external AI tools for use on the ²ÝÝ®ÊÓƵ network or ²ÝÝ®ÊÓƵ devices. ITS will ensure the tool meets appropriate privacy and security protections.