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.
Activities and events
Friday Night AI
AI Seminars and Events
Prospective graduate students
This collaborative environment, coupled with our diverse perspectives, leads to a valuable interchange of ideas within and across research groups.
2023 EECS Outstanding Achievement Awards
The EECS Department has honored four faculty for their sustained excellence in instruction and curricular development, distinguished participation in service activities, or for their significant…
Sindhu Kutty receives Jon R. and Beverly S. Holt Award for Excellence in Teaching
Her aim has been to combine the personal attention afforded to students at small liberal arts colleges with the resource-rich experience that a leading research university provides.
Joyce Chai appointed associate director of Michigan Institute for Data Science
Chai will greatly enhance MIDAS’ effort to support AI researchers and AI-enabled research across many fields at the university.
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.