Michigan AI Blog

  • Users of the Internet unite!
    by Ashkan Kazemi (PhD candidate, Michigan AI) Are you an Internet user worried about the rapid advancement of Artificial Intelligence (AI) and its potential impact on your life and work? You are not […]
  • Interview with Wilka Carvalho
    by Muhammad Khalifa (PhD student, Michigan AI) Introduction: Wilka Carvalho is a 5th year Ph.D. student in Computer Science and Engineering at University of Michigan. His research interests lie at the intersection […]
  • Can Large Language Models Improve Few-shot Retrieval for Complex Question Answering?
    by Muhammad Khalifa (PhD student, Michigan AI) About the author: I am a Ph.D. student in the CSE and I am also affiliated with Michigan AI Lab. My research revolves around reasoning […]
  • Book Recommendations – Winter 2022
    by Zhijing Jin and Rada Mihalcea (Michigan AI) Zhijing Jin recommends:  How to Avoid a Climate Disaster, by Bill Gates (2021), offers a detailed overview of the current state of climate change […]
  • Uncovering “Private” Misinformation
    by Ashkan Kazemi (PhD student, Michigan AI) While fake news detection is an already difficult task for machines (and humans!), what happens when large unmoderated private groups become filled with misinformation?  Even […]
  • Interview with Dr. Maggie Makar
    by Jung Min Lee (PhD student, Michigan AI) Dr. Maggie Makar is the Computer Science department’s first Presidential Postdoctoral Fellow/assistant professor. Prior to joining the department in 2021, she was a PhD […]
  • Interview with New Faculty: Prof. Laura Burdick
    by Do June Min (PhD student, Michigan AI) “We care about getting more women and underrepresented people involved in computer science. So we try many things, but as engineers, we are actively […]
  • From ACL 2021 with love: How I learned to stop worrying and love the BERT
    by Ashkan Kazemi (PhD student – Michigan AI) NOTE: The original post is live on Meedan’s website: https://meedan.com/blog/claim-matching-global-fact-checks-at-meedan/ The Association for Computational Linguistics conference (ACL) 2021, a top publication venue and event for research […]
  • Book Recommendations from Our Graduate Students
    Based on their summer 2021 readings, our graduate students recommend: Andrew Lee (3rd year PhD student in the LIT lab): 1. One Hundred Years of Solitude by Gabriel García Márquez is a […]
  • Explore Computer Science Research (ExploreCSR) Program
    My Experience with the ExploreCSR Program by Grace O’Brien Hi! My name is Grace O’Brien and I’m a rising senior at the University of Michigan. I am majoring in Pure Math and […]
  • My Journey into AI with Vim Editors, 4G Internet, and a Pandemic
    by Gemmechu M. Hassena About the author: Hi, my name is Gemmechu M. Hassena! I’m a senior year software engineering student at Addis Ababa University. I came to work at the University […]
  • Learning in Multi-Agent Systems
    by Max Smith Challenges and Considerations Artificially intelligent (AI) systems are increasingly enmeshed in our society. Hidden engines powering many web-services and social-media sites, they provide intelligent content recommendations to millions. They […]
  • Summer 2020 Book Recommendations from Our Graduate Students – part II
    Preeti Ramaraj (4th year PhD student) – Diversity across different axes Despite being a bibliophile all my life, I realized fairly recently that I had read books by less than 10 women […]
  • 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 […]