Michigan AI Laboratory

Welcome to the Artificial Intelligence Laboratory

A vibrant research group that includes faculty, research scientists, graduate students, and postdoctoral fellows working in AI.

Meet the people who make up the AI Lab>

Lab flyer

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Activities and events

Friday Night AI

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AI Seminars and Events

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Prospective graduate students

This collaborative environment, coupled with our diverse perspectives, leads to a valuable interchange of ideas within and across research groups.

View our prospective student page on the CSE website>

News

AI generates data to help embodied agents ground language to 3D world

The model trained on the synthetic dataset, 3D-GRAND, had higher grounding accuracy and hallucinated drastically less compared to their predecessors.

Clinically deployed AI guidance for preventing C. difficile spread

The model produced patient risk scores, based on electronic health record data and location in the hospital, that were used to guide infection prevention.

Ten papers by CSE researchers at CVPR 2025

CSE-affiliated authors are presenting new research in the area of computer vision, from humanoid robotics to 3D reconstruction.

All AI Lab News >

How can machine learning impact healthcare?

Prof. Jenna Wiens uses machine learning to make sense of the immense amount of patient data generated by modern hospitals. This can help alleviate physician shortages, physician burnout, and the prevalence of medical errors.

Making AI explainable

Researchers in Prof. Nikola Banovic’s lab work to make AI models understandable to the people who ultimately have to use them – clinicians, policymakers, engineers, artists, designers, and the broader public. Most models rely on complex mathematical outputs to communicate things like how they arrived at a certain answer, or how “confident” the model is in its output. Instead, Banovic and his students design interactive tools to connect the dots for end-users.