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.
Best Paper to give robots more planning foresight
The new framework provides a means to help robots plan while faced with different sources of uncertainty.
$1.1M grant supports learning more about early Alzheimer’s with machine learning
Data from patient records could provide a valuable historical perspective on which factors increase Alzheimer’s risk.
Helping autonomous agents make smarter decisions in chaotic environments
A new algorithm gives autonomous agents the ability to take in batches of multiple instructions at once while responding dynamically to changes in their surroundings.
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.