Prof. Mingyan Liu is a key member of a project to mitigate bias in Artificial Intelligence and Machine Learning systems for long-term equitable outcomes.

Prof. Mingyan Liu is a key member of a project to mitigate bias in Artificial Intelligence and Machine Learning systems for long-term equitable outcomes.
His work on reinforcement learning is aimed at accelerating the training of RL agents.
The workshop, co-organized by a team including two EECS faculty, focused on ensuring the safety of Level 3 autonomous vehicles, where humans must be ready to take over control.
The research could improve efficiency in systems such as electric vehicles, grid systems, mass transit, and industrial automation
The Michigan Game Studios database, developed by lecturer Austin Yarger, helps organize the state’s rapidly growing scene.
ASEE Prism magazine explores how linear algebra could level the playing field.
The post ‘Solving for equity’: A Michigan Robotics course flips the script on engineering ed appeared first on Michigan Engineering News.
Reducing virtual conferencing’s environmental impact can be achieved with steps both big and small.
The post Video conference CO2 emissions quantified in new study appeared first on Michigan Engineering News.
Network of U.S. biomedical engineering researchers calls to end funding disparities between Black and white scientists.
The post How to end discrimination in health research funding appeared first on Michigan Engineering News.
Komma, a PhD student, is working to develop robust low powered localization technology for Artificial Intelligence enabled Internet of Things in locations where GPS is limited or blocked.
‘I couldn’t have seen myself where I am right now,’ says aerodynamicist Jessica Jones on the importance of representation.
The post Overcoming turbulence: Black AERO alumnae share insights on MLK panel appeared first on Michigan Engineering News.