MENU Events
Sign up for our mailing list if you would like to be notified about our public events. Our events are organized with help from the following graduate students:
- AI Tea Coordinators: Kaijain Zou & Angana Borah
- AI Seminar Tsar: Ziqiao Ma
- Friday Night AI Coordinators: Yara El-Tawil (FA & WN) & Snehal Prabhudesai (WN)
- Michigan Science Center Coordinators: Meera Kirshnamoorthy & Snehal Prabhudesai (FA)
- NLP Day Coordinators: Siyang Liu & Muhammad Khalifa
- AI Blog Editors: Trenton Chang & Vaibhav Balloli
AI Seminars provide a forum for researchers in this important area to share their findings and thoughts. If you are interested in supporting Michigan AI events, please consider donating by clicking here.
Past Events
MAR
14
2025
AI Lab Events | Friday Night AI
Friday Night AI: Listening to the Wild: Can AI Help Us Understand Animal Communication?
MAR
13
2025
Dissertation Defense
Tool-Use Robot Manipulation Tasks for Cooperative and Explainable Operations in Safety-Critical Domains
Emily Sheetz
MAR
13
2025
Faculty Candidate Seminar
Learning, Reasoning, and Planning with Neuro-Symbolic Concepts
Jiayuan Mao, Ph.D. Candidate, Massachusetts Institute of Technology
MAR
12
2025
AI Lab Events
AI Careers and Research Panel
MAR
11
2025
AI Lab Events | NLP Day
NLP @ Michigan Day
FEB
27
2025
MIDAS Seminar
Can AI Be Conscious, and Why Does It Matter?
FEB
27
2025
Faculty Candidate Seminar
Understanding and Enhancing Deep Neural Networks with Automated Interpretability
Tamar Rott Shaham, Postdoc, Massachusetts Institute of Technology
FEB
20
2025
Faculty Candidate Seminar
Learning to Perceive the 4D World
Qianqian Wang, Postdoc, University of California, Berkeley
FEB
13
2025
AI Lab Events | AI Workshop | e-HAIL Event
AI & Aging: Innovations & Challenges for Global Health: an e-HAIL in-person conversation (a joint event with the AI Lab)
Josh Ehrlich, MD, MPH, Assistant Professor, Ophthalmology and Visual Sciences
Robin Brewer, PhD, Assistant Professor, School of Information
JAN
31
2025
AI Seminar
Understanding LLMs: How They Function and How They Have Changed
Sebastian Raschka, LLM Research Engineer, Lightning AI
JAN
28
2025
AI Seminar
Harnessing collaborative intelligence in the Post-LLM world
Praneeth Vepakomma, Assistant Professor, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
JAN
21
2025
AI Seminar
Personal Assistive Technology
Anhong Guo, Assistant Professor, Computer Science & Engineering, University of Michigan
JAN
17
2025
Other Seminar
Sociolinguistic Competence Versus Artificial “Intelligence”: Variation in the Face of Ubiquitous Large Language Models
JAN
16
2025
AI Lab Events | Other Event
Humanoid robotics technology and product iterations
JAN
16
2025
Dissertation Defense
Learning Dense Visual Features for the Sun and Natural Scenes
Richard Higgins
DEC
17
2024
Dissertation Defense
Enhancing Video Understanding Through Deep Generative Models and Task Comprehension
Yunseok Jang
DEC
16
2024
Dissertation Defense
Leveraging Compositional Structure for Reinforcement Learning and Decision Making Problems
Anthony Liu
DEC
13
2024
AI Lab Events | Friday Night AI
Friday Night AI: AI vs. The Flu: Can Technology Predict and Prevent Epidemics?
DEC
10
2024
AI Seminar
Benchmarking LLMs’ Judgments with No Gold Standard
Grant Schoenebeck, Associate Professor, School of Information, University of Michigan
DEC
03
2024
Dissertation Defense
Towards Enhanced Human-AI Interaction: A Holistic Approach to Personalization in Natural Language Processing
Christopher Clarke
DEC
03
2024
Other Event | Student Event
Power Hungry: A Discussion about AI’s Energy Usage and the Environment
NOV
25
2024
AI Seminar
Small Hybrid Language Model
Shizhe Diao, Research Scientist, NVIDIA Research
NOV
22
2024
Human Centered Computing Seminar
Personalized Ubiquitous Computing through Predictive Behavior Modeling
Afsaneh Doryab, Assistant Professor of Computer Science and Systems Engineering, University of Virginia
NOV
21
2024
AI Workshop
Leveraging AI to Address Poverty-related Issues
NOV
21
2024
Women in Computing
Interpretability and Adaptation of Language Models
Ndapa Nakashole, Associate Professor of Computer Science, University of California, San Diego