ÌÇÐÄVlog

Welcome to the Gruber AI Sandbox

The Gruber AI Sandbox is a 3,400 square foot multi-functional AI innovation hub featuring a diverse tech ecosystem with ten desktop computers running Linux, Windows, and macOS, designed for developing and utilizing AI models. This state-of-the-art facility also includes an expansive open area, outfitted with high-quality seating arrangements and a large display, perfect for public lectures or classroom-style presentations. Additionally, the space houses four private meeting rooms, each equipped with versatile multi-purpose displays, lounge seating and whiteboards, tailored for collaborative AI projects and brainstorming sessions.

Regularly, The Gruber AI Sandbox regularly hosts events from the 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 generousÌý gift from Rubin and Cindy Gruber.

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About

The Rubin and Cindy Gruber Sandbox is one of the nation's first multi-disciplinary, 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 Rubin and Cindy Gruber Sandbox opened in the spring of 2020. The 3,400 square-foot lab space located in the Wimberly Library was designed to be flexible and to evolve as student needs evolve.

The Sandbox is home to transformative technologies that require minds from many disciplines and all levels (high school through Ph.D.). The projects that are being worked on within this lab are student driven and use cutting edge technology to make ideas come 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 ÌÇÐÄVlog Libraries, Machine Perception and Cognitive Robotics Lab and the Charles E. Schmidt College of Science.

Weekly Schedule

Monday
4:00 pm - 7:00 pm Ìý Robotics Club (Open to the Public)

Tuesday
3:30 pm - 5:00 pm Ìý Closed Course

Wednesday
11:00 am - 2:00 pm Ìý Machine Perception and Cognitive Robotics Seminar (Open to the Public)
5:00 pm - 6:00 pm Ìý Closed Meeting

Thursday
11:30 am - 2:30 pm Ìý Closed Course
2:30 pm - 3:30 pm Ìý Coffee & Couches Talks (Open to the Public)
4:30 pm - 7:00 pm Ìý Minds as Machine Guest Lectures (Registration Required)

Friday
3:30 pm - 5:00 pm Ìý Closed Course

Sandbox Partnerships

Center for the Future Mind

ÌÇÐÄVlog's Center for the Future Mind is a collaboration between the Dorothy F. Schmidt College of Arts and Letters and the ÌÇÐÄVlog's Brain Institute, which draws from the expansion of collaborative research in neuroscience, artificial intelligence, 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.