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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.
News
New computer vision technique enhances microscopy image analysis for improved cancer… diagnosis
University of Michigan researchers have designed HiDisc, a machine learning tool that classifies biomedical microscopy images to more accurately diagnose cancer.
Wei Hu receives Google Research Scholar award for research on deep learning theory… for real-world data
Hu has received Google support for his development of novel deep learning theoretical approaches that reflect the complex properties of high-dimensional data.
With language models on the rise, how can Natural Language Processing be used for good?
A research team led by Prof. Rada Mihalcea and PhD student Zhijing Jin has created a method for identifying and categorizing research that uses NLP to address social problems.
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.