In The Conversation, experts break down what’s needed to make CO2 in concrete work on a wide scale to curb global emissions.
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Systems featuring a ‘membrane-aerated biofilm reactor’ can also remove more nitrogen from treatment plant discharges.
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Twelve students and faculty co-authored papers spanning several key application areas for AI.
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.
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Reducing virtual conferencing’s environmental impact can be achieved with steps both big and small.
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