The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.
The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.
Up to this point, no attacks had been discovered targeting a car’s LiDAR system—but a major new finding from researchers at the University of Michigan has demonstrated what that might look like.
The authors provide an overview of common challenges to implementing ML in a health-care setting, and describe the necessity of breaking down the silos in ML.
May Mobility intends to gradually acclimate the public to the experience of autonomous driving.
The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.
Baveja’s paper tackled the difficult problem of giving artificial intelligence a way to understand and represent knowledge collected over time.
The new event series aims to create an educational environment for the public.
New algorithm can help robots go from structured environments like factories to complex, unstructured places like our homes.
“What I’m doing is trying to come up with ideas to let the agent continue learning different skills across its life.”
The result will be new measurement methods to determine how moods are shaped by both the behavior of an individual and daily interactions over time