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.
Chad Jenkins named Fellow of the AAAS
Jenkins was recognized for his work on human-robot interaction and methods that enable robots to learn human skills.
CSE faculty funded for three precision health projects
The CSE faculty include Prof. David Fouhey, Prof. Danai Koutra, Prof. Rada Mihalcea, and Research Scientist Veronica Perez-Rosas.
Best Student Paper Award for work on faster network classification for machine learning
Comparing graphs the team’s tool is up to an order of magnitude faster than competitive baselines.
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.