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.
Prospective graduate students
This collaborative environment, coupled with our diverse perspectives, leads to a valuable interchange of ideas within and across research groups.
Jule Schatz receives WISE Aspire, Advance, Achieve Mentoring Award
Jule is active in teaching and outreach activities to help broaden participation in the field of computer science and engineering.
CSE doctoral student Tara Safavi receives Rackham Predoctoral Fellowship
The fellowship will advance her work in inferring relational world knowledge in machines with explicit and implicit representations.
Lu Wang earns CAREER Award to summarize long text with machine learning
Wang hopes that, by summarizing longer documents, she can make a new class of information more accessible to a variety of audiences.
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.
Can we trust a robot?
Prof. Benjamin Kuipers discusses how advances in AI and robotics have raised concerns about the impact on our society of intelligent robots, unconstrained by morality or ethics.