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Michigan AI Blog

  • Summer 2020 Book Recommendations from Our Graduate Students – part I
    Allie Lahnala (2nd year PhD student) recommends: From my 2020 reads, I recommend “How to Do Nothing: Resisting the Attention Economy” (2019) by Jenny Odell, “Geek Heresy: Rescuing Social Change from the […]
  • Q & A with David Fouhey
    David Fouhey was interviewed by Ralph Anzarouth on CVPR Daily. Permission to republish was exceptionally granted by RSIP Vision. June 2020 David Fouhey is an Assistant Professor at the University of Michigan in the […]
  • Can humans and machines co-create generalizable models?
    by Yiwei Yang  This article contains a description of an AI project which was awarded the “Best Poster Award” by the public at the University of Michigan AI Symposium 2019. Machine learning techniques, […]
  • Book Recommendations – Summer 2019
    by Michigan AI’s Prof. Benjamin Kuipers & Prof. Rada Mihalcea Prof. Benjamin Kuipers recommends: I am currently reading a sequence of three books by Michael Tomasello that I think say something important about […]
  • Healthcare and Big Data: 3 Questions with Jenna Wiens
    by IHPI This is an interview with Dr. Wiens, who is affiliated with the Michigan AI Lab and is also a member of the Institute for Healthcare Policy & Innovation. Jenna Wiens, Ph.D., […]
  • Personal Robots: Why is perception important?
    by Karthik Desingh Personal robots are more and more in the media spotlight including movies. Owning a personal robot, your very own maid or butler that has it all, is everyone’s dream. But […]
  • The logic of feeling: Teaching computers to identify emotions
    by Gabe Cherry  This is an interview with Professor Emily Mower Provost that was first published by The Michigan Engineer News Center. Using machine learning to decode the unpredictable world of human emotion […]
  • Celebrating 30 Years of AI at Michigan (1988 – 2018)
    by Michigan AI Lab  The Artificial Intelligence Laboratory was founded in 1988 as an outgrowth of the Computer Vision Research Lab (CVRL) as faculty involved in other aspects of AI had joined Michigan. […]
  • Word Associations: How Computer Science can Help us Gain Insight into the Human Brain
    by Jule Schatz  What is the first thing you think of when you see the word “mouse”?What about when you see “dairy”?Most likely you all gave pretty different answers for the two word […]
  • Word embeddings and how they vary
    by Laura Burdick  Consider for a moment the complexity of human language. Humans can effortlessly process nuanced expressions such as simile (“cool as a cucumber”), sarcasm (“Just great! I failed that test”), and […]