Michigan Engineering | University of Michigan Award-winning research led by Prof. Qing Qu discovered an intriguing phenomenon that diffusion models consistently produce nearly identical content starting from the same noise input, regardless of model architectures or training procedures.
GenAI diffusion models learn to generate new content more consistently than expected
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Linking online and offline social networks to better predict real world impact
Prof. Lei Ying leads a new MURI that is focused on the interplay between online and offline networks and how they could impact disruptive behavior and events.
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Designing Synthetic Human Gut Microbiome with AI
Prof. Al Hero was interviewed and gave a presentation about his research using machine learning to improve our understanding of the human gut
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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.
The post Immune to hacks: Inoculating deep neural networks to thwart attacks appeared first on Michigan Engineering News.
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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.