The Michigan Student Artificial Intelligence Lab (MSAIL) is a student organization for discussion of artificial intelligence and machine learning. Andrew Ng said:

...if you read research papers consistently, if you seriously study half a dozen papers a week and you do that for two years, after those two years you will have learned a lot... But that sort of investment, if you spend a whole Saturday studying rather than watching TV, there's no one there to pat you on the back or tell you you did a good job.  —  Andrew Ng
MSAIL is a community in which motivated students can read and discuss modern machine learning literature together. We welcome students of all backgrounds and ability. To join MSAIL and stay up to date, simply join our Slack team! Also be sure to check out our sister organization: the Michigan Data Science Team! We are both graciously sponsored by the Michigan Institute for Data Science.

Upcoming Events

April 8
Reading Group
Wednesday (2020-4-8) at 18:30 streamed on BlueJeans

Recent Events

April 1
Wednesday (2020-4-1) at 18:30 streamed on BlueJeans

Robots often need haptic (touch) and visual feedback to perform tasks where they manipulate objects in their environments. The authors of this paper explore ways to learn a strategy to control a robot from combined representations of these data, using self-supervised and deep reinforcement learning.

March 25
Wednesday (2020-3-25) at 18:30 streamed on BlueJeans

Isolation of cases and contact tracing has been used to control the outbreaks of COVID-19. Whether this strategy works depends on characteristics of both the pathogen and the response. This week we analyzed and discussed a mathematical model to assess if isolation and contract tracing are effective in stopping this virus.

March 18
Reading Group Meta-Learning
Wednesday (2020-3-11) at 18:30 streamed on BlueJeans

A major goal of unsupervised learning is to discover data representations that are useful for subsequent tasks, without access to supervised labels during training. Typically, this involves minimizing a surrogate objective with the hope that representations useful for subsequent tasks will arise as a side effect. This week we discussed a paper that proposes directly targeting later desired tasks by meta-learning an unsupervised learning rule that will later be useful for those tasks.

Active Leadership

Our administrative team is responsible for planning MSAIL's activities and holding the organization together. If you would like to help out as well, contact Nikhil via email. Our constitution codifies our roles.
Nikhil Devraj
Lead Organizer
devrajn (at) umich
Robert Aung
aung (at) umich
Andrew Awad
Industry Relations
anawad (at) umich
Patrick Morgan
pmorg (at) umich
Ashwin Sreevatsa
asreeva (at) umich
Sean Stapleton
DEI, Community Engagement
seancs (at) umich
Kevin Wang
musicer (at) umich

Faculty Mentors

These astounding professors make MSAIL possible with their advice and support.
Laura Balzano
Assistant Professor in EECS
Faculty Mentor
girasole (at) umich
Danai Koutra
Assistant Professor in CSE
Faculty Mentor
dkoutra (at) umich
Jenna Wiens
Assistant Professor in CSE
Faculty Mentor
wiensj (at) umich