Welcome to the Gruber AI Sandbox
The Gruber AI Sandbox is a 3,400-square-foot multifunctional AI innovation hub featuring a diverse tech ecosystem with 10 desktop computers running Linux, Windows, and macOS, designed for developing and using various AI models. This state-of-the-art facility also includes an expansive open area, outfitted with high-quality seating and a large display, ideal for public lectures or classroom-style presentations. The space also houses four private meeting rooms, each equipped with multi-purpose displays, lounge seating, and whiteboards, tailored for collaborative AI projects and brainstorming sessions.
The Gruber AI Sandbox regularly hosts events from the
Charles E. Schmidt College of Science
, including meetings of the Society of Industrial and Applied Mathematics reading group on AI and Machine Learning, as well as distinguished speakers and special events hosted by the Center for the Future Mind such as the Mindfest conference.
This space was made possible by a generous gift from Rubin and Cindy Gruber.
Map to S.E. Wimberly Library
About
The Rubin and Cindy Gruber Sandbox is one of the nation's first multidisciplinary, state-of-the-art artificial intelligence (AI) labs located in a University Library.
This collaborative, experimental space for students of all levels, from all disciplines, provides the opportunity to directly engage with the fast-advancing field of artificial intelligence. Students, faculty, and community members have the opportunity to come together to create innovative solutions to real-world problems.
Thanks to a generous gift from Rubin and Cindy Gruber, the Sandbox opened in the spring of 2020. The 3,400-square-foot lab space located in the S.E. Wimberly Library was designed to be flexible and to evolve as student needs change.
The Sandbox is home to transformative technologies that require minds from many disciplines and at all levels (from high school through Ph.D.). The projects being worked on in this lab are student-driven and use cutting-edge technology to bring their ideas to life. Within the Sandbox, you'll find undergrad and graduate students working side-by-side with faculty and community members on projects and research from all subject areas.
The Sandbox was developed in partnership with the S.E. Wimberly Library, the Machine Perception and Cognitive Robotics (MPCR) Lab, and the Charles E. Schmidt College of Science.
Weekly Schedule
Please register here to attend Gruber Sandbox workshops
Monday
4:00 pm - 7:00 pm Robotics Club (Open to the Public)
Tuesday
3:30 pm - 5:00 pm Closed Course
Wednesday
11:00 am - 2:00 pm Machine Perception and Cognitive Robotics Seminar (Open to the Public)
5:00 pm - 6:00 pm Closed Meeting
Thursday
11:30 am - 2:30 pm Closed Course
2:30 pm - 3:30 pm Coffee & Couches Talks (Open to the Public)
4:30 pm - 7:00 pm Minds as Machine Guest Lectures (Registration Required)
Friday
3:30 pm - 5:00 pm Closed Course
Sandbox Partnerships
Center for the Future of AI, Mind, and Society
The Center for the Future of AI, Mind & Society (AIMS)
is a multidisciplinary hub where thought leaders in philosophy, complex systems, artificial intelligence, neuroscience, political science, and other fields come together to analyze vital scientific, societal, and ethical issues. In collaboration with the
Dorothy F. Schmidt College of Arts and Letters
and the
Stiles-Nicholson Brain Institute
, the Center draws from the expansion of collaborative research in neuroscience, AI, and other areas in science, technology, engineering, and mathematics — especially with partners Scripps Research and the Max Planck Florida Institute for Neuroscience. This is the only place on Earth where Max Planck and Scripps — the top two biomedical research institutes in the world — are co-located, providing unparalleled opportunities for collaborative work on pressing questions about the future of the mind.
MPCR Lab
At the core of our research is a custom simulation and machine learning platform that allows for perception-action experiments. Individuals and teams in the lab work on modules that they think are relevant to that overall goal. Some of these modules will consist of 3D simulated environments, others modules will consist of theoretical components such as hypervectors, Cartesian frames, locally competitive algorithms, or long short-term memory networks.
