AI Makerspace Nexus
Goals
Empower campus and democratize accessibility to the AI Makerspace; Enable the AI Makerspace to be accessible by all students and instructors; this entails the creation of tools, interfaces, libraries, and modules that empower the Georgia Tech community to access AI regardless of background and AI-related skills.
Issues Involved or Addressed
TBD
Partners/Sponsors
Nvidia, College of Engineering, PACE Team, OLIVES Lab
Methods and Technologies
- Neural Networks
- Large Language Models
- Robotics
- Data Processes
- Generative Models
- Computer Vision
- Human-Computer interaction (HCI)
- Self-pace Tutorials
Majors Sought
Computing: Computer Science
Design: Architecture, Industrial Design
Engineering: Biomedical Engineering, Civil Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering
Preferred Interests and Preparation
All majors – Background/interest in AI, learning theory, generative system design, neural networks, interface design, and human-computer interaction. Programming experience in Python would be helpful but is not required.
New members who are Sophomores and Juniors must register for 1 credit, and NEW Seniors for 1 or 2 credits.
Advisors
Ghassan AlRegib
Ghassan AlRegib
alregib@gatech.edu
Greg KrudyszElectrical and Computer Engineeringkrudysz@gatech.edu
Day, Time & Location
Full Team Meeting:
Mondays 12:30 – 1:20pm and 2:00-02:50pm (A student will have to attend only one of the two sessions.)
Centergy-one, Fifth Floor, Room 5234
Subteam meetings scheduled after classes begin.