Michigan Engineering | University of Michigan Prof. Al Hero was interviewed and gave a presentation about his research using machine learning to improve our understanding of the human gut
Designing Synthetic Human Gut Microbiome with AI
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Machine learning begins to understand the human gut
The new computer model accurately predicts the behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine.
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Teaching Machine Learning in ECE
With new courses at the UG and graduate level, ECE is delivering state-of-the-art instruction in machine learning for students in ECE, and across the University
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Immune to hacks: Inoculating deep neural networks to thwart attacks
The adaptive immune system serves as a template for defending neural nets from confusion-sowing attacks
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Qing Qu receives CAREER award to explore the foundations of machine learning and data science
His research develops computational methods for learning succinct representations from high-dimensional data.
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Hun-Seok Kim receives CAREER Award to facilitate Internet of Things connectivity
Kim takes an interdisciplinary approach to tackle challenges in heterogeneous classes of energy-efficient and versatile communication systems.
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Machine Learning and Systems: A conversation with 2020 Field Award winners Al Hero and Anders Lindquist
Hero and Lindquist took a few minutes to talk about the impact of machine learning on Signal Processing and Control Systems, and what they plan to do about it
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Mingyan Liu, 2018 Distinguished University Innovator, talks about her company and data science commercialization
Mingyan Liu, recipient of the 2018 Distinguished Innovator of the Year award, gave a talk about her startup company and participated on a panel discussing data science commercialiation.
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$1.6M toward artificial intelligence for data science
DARPA is trying to build a system that can turn large data sets into models that can make predictions, and U-M is in on the project.
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Mingyan Liu: Confessions of a pseudo data scientist
Liu’s most recent research involves online learning, modeling of large-scale internet measurement data, and incentive mechanisms for security games.