Michigan AI Laboratory
Prospective graduate students
This collaborative environment, coupled with our diverse perspectives, leads to a valuable interchange of ideas within and across research groups.
Two projects recognized with JP Morgan Chase Faculty Research Award
The award supports industry collaboration with innovative and influential research in the field of artificial intelligence.
Michigan AI hosts symposium on AI and accessibility
The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.
Alum Paul Debevec honored with Emmy Lifetime Achievement Award for inventing a new… kind of movie magic
Debevec’s groundbreaking imaging work revolutionized the film and television industry, helping create the special effects seen in Spider-Man 2, Avatar, The Hobbit, Blade Runner 2049, Gravity,…
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.