MENU 
Michigan AI Blog
- 2024 at Michigan AI: Highlightsby Trenton Chang (PhD Candidate) 2024 was an amazing year for the Michigan AI lab, with research about topics from large language models to financial markets by our students, faculty members, and… Read more: 2024 at Michigan AI: Highlights
- Abrupt Learning in Transformers – A Case Study in Matrix Completionby Pulkit Gopalani (PhD Candidate) This post is based on Abrupt Learning in Transformers: A Case Study on Matrix Completion, presented at NeurIPS 2024. Have you ever wondered how a Transformer works… Read more: Abrupt Learning in Transformers – A Case Study in Matrix Completion
- Understanding Image Classifiers at the Dataset Level with Diffusion Modelsby Greg Kondas (MLD3 Group) Wouldn’t it be great to understand the dataset level behavior of your image classifier? Intro This post is adapted from DEPICT: Diffusion-Enabled Permutation Importance for Image Classification… Read more: Understanding Image Classifiers at the Dataset Level with Diffusion Models
- Tips for a successful internship during your PhDby Muhammad Khalifa (PhD student, Michigan AI) Introduction During my master’s and PhD studies, I secured many research internships, some of which were up to 10 months long. My internships experience spanned… Read more: Tips for a successful internship during your PhD
- Thoughts on Generative AI in Light of Recent Text-to-video Advances by Katsumi Ibaraki (MS student, Michigan AI) Imagine a tool that can write breathtaking poetry, compose a musical melody, or even generate a deepfake of you delivering a speech in perfect Minionese… Read more: Thoughts on Generative AI in Light of Recent Text-to-video Advances
- Interview with Visiting Scholar: Nasim Tohidi by Katsumi Ibaraki (MS student, Michigan AI) Introduction: Nasim Tohidi is a Visiting Scholar from K. N. Toosi University of Technology. She received the Best Poster Award at the Michigan AI Symposium… Read more: Interview with Visiting Scholar: Nasim Tohidi
- LaUNCH your CONFIDENCEby Oana Ignat (Postdoc Researcher, Michigan AI) Biweekly Workshops for Improving your Confidence and Creativity in Partnership with VoiCSEs (lunch provided) Have you ever struggled to speak your thoughts in meetings, share… Read more: LaUNCH your CONFIDENCE
- Eight Lessons Learned in Two Years of Ph.D.by Muhammad Khalifa (PhD student, Michigan AI) Eight Lessons Learned in Two Years of Ph.D. Introduction: If you are starting your Ph.D. soon, you might be wondering about how you should go… Read more: Eight Lessons Learned in Two Years of Ph.D.
- 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… Read more: Users of the Internet unite!
- Interview with Wilka Carvalhoby 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… Read more: Interview with Wilka Carvalho
- 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… Read more: Can Large Language Models Improve Few-shot Retrieval for Complex Question Answering?
- Book Recommendations – Winter 2022by 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… Read more: Book Recommendations – Winter 2022
- Uncovering “Private” Misinformationby 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… Read more: Uncovering “Private” Misinformation
- Interview with Dr. Maggie Makarby 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… Read more: Interview with Dr. Maggie Makar
- Interview with New Faculty: Prof. Laura Burdickby 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… Read more: Interview with New Faculty: Prof. Laura Burdick
- From ACL 2021 with love: How I learned to stop worrying and love the BERTby 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… Read more: From ACL 2021 with love: How I learned to stop worrying and love the BERT
- Book Recommendations from Our Graduate StudentsBased 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… Read more: Book Recommendations from Our Graduate Students
- Explore Computer Science Research (ExploreCSR) ProgramMy 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… Read more: Explore Computer Science Research (ExploreCSR) Program
- My Journey into AI with Vim Editors, 4G Internet, and a Pandemicby 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… Read more: My Journey into AI with Vim Editors, 4G Internet, and a Pandemic
- Learning in Multi-Agent Systemsby 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… Read more: Learning in Multi-Agent Systems
- Summer 2020 Book Recommendations from Our Graduate Students – part IIPreeti 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… Read more: Summer 2020 Book Recommendations from Our Graduate Students – part II
- Summer 2020 Book Recommendations from Our Graduate Students – part IAllie 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… Read more: Summer 2020 Book Recommendations from Our Graduate Students – part I
- Q & A with David FouheyDavid 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… Read more: Q & A with David Fouhey
- 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,… Read more: Can humans and machines co-create generalizable models?
- Book Recommendations – Summer 2019by 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… Read more: Book Recommendations – Summer 2019
- Healthcare and Big Data: 3 Questions with Jenna Wiensby 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.,… Read more: Healthcare and Big Data: 3 Questions with Jenna Wiens
- 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… Read more: Personal Robots: Why is perception important?
- The logic of feeling: Teaching computers to identify emotionsby 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… Read more: The logic of feeling: Teaching computers to identify emotions
- 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.… Read more: Celebrating 30 Years of AI at Michigan (1988 – 2018)
- Word Associations: How Computer Science can Help us Gain Insight into the Human Brainby 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… Read more: Word Associations: How Computer Science can Help us Gain Insight into the Human Brain
- Word embeddings and how they varyby 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… Read more: Word embeddings and how they vary