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.
Program to engage CS undergrads in research supported for another year
Workshop organizers believe a key strategy to increasing the number of women in computing research is to introduce them to the research process early on.
Student NASA award supports work on more dexterous, collaborative space robots
PhD student Emily Sheetz is working to design more dexterous robots to work alongside humans in space.
New research teaches AI how people move with internet videos
The project enables neural networks to model how people are positioned based on only partial views of their bodies, like perspective shots in instructional videos or vlogs.
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.