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.
Technology that serves all: a single step could pave the way
A Q&A with Chad Jenkins.
Model helps robots think more like humans when searching for objects
The model is a practical method for robots to look for target items in complex, realistic environments.
AI-powered interviewer provides guided reflection exercises during COVID-19 pandemic
The virtual interviewer uses therapeutic writing techniques to help users cope with difficult situations.
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.