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GenAI diffusion models learn to generate new content more consistently than expected
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.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.Improving generative AI models for real-world medical imaging
Professors Liyue Shen, Qing Qu, and Jeff Fessler are working to develop efficient diffusion models for a variety of practical scientific and medical applications.Neural Collapse research seeks to advance mathematical understanding of deep learning
Led by Prof. Qing Qu, the project could influence the application of deep learning in areas such as machine learning, optimization, signal and image processing, and computer vision.Open-source training framework increases the speed of large language model pre-training when failures arise
Pipeline templates strike a balance between speed and effectiveness in resilient distributed computing.Understanding attention in large language models
How do chatbots based on the transformer architecture decide what to pay attention to in a conversation? They’ve made their own machine learning algorithms to tell them.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 gutMachine 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.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 UniversityImmune to hacks: Inoculating deep neural networks to thwart attacks
The adaptive immune system serves as a template for defending neural nets from confusion-sowing attacksQing 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.Using neural networks and machine learning to design the first universal decoder for the next generation of wireless systems
PhD student Mohammad Vahid Jamali has been awarded a Qualcomm Innovation Fellowship to work on developing a single neural decoder that can decode several channel codes at once.$7.5M MURI to make dynamic AI smarter and safer
Researchers from four U.S. institutions aim to pull the best from control theory and machine learning to build safer mobile, intelligent systems.Profiles in ECE: Rucha Apte (MS ECE 2021)
From the internships that inspired her interest in signal & image processing and machine learning to late night study sessions at the Duderstadt to her background in classical dance, Master’s student Rucha Apte shares her journey with us.
Prof. Qing Qu uses data and machine learning to optimize the world
A new faculty member at Michigan, Qu’s research has applications in imaging sciences, scientific discovery, healthcare, and more.
Fairer AI for long-term equity
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.
New research teaches AI how people move with internet videos
The project enables neural networks to model how people are positioned based on only partial views of their bodies, like perspective shots in instructional videos or vlogs.
Enabling fairer data clusters for machine learning
Their findings reduce average job completion time by up to 95% when the system load is high, while treating every job fairly.
New machine learning method improves testing of stem-like tumor cells for breast cancer research
To improve the prediction and identification of stem-like cancer cells, Prof. Euisik Yoon’s group developed a method that is 3.5 times faster than the standard approach.
Research on human biases in AI learning earns best student paper award
The project, which received a best paper award, demonstrated that a certain bias in humans who train intelligent agents significantly reduced the effectiveness of the training.
Xueru Zhang awarded Rackham Predoctoral Fellowship
Zhang is working to improve data security and address important ethical issues related to AI and discriminatory data sets.
Computer scientists employ AI to help address COVID-19 challenges
Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.
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.
Machine Learning takes over the EECS Atrium
Students in EECS 545: Machine Learning, taught by Prof. AL Hero, presented their final projects in a poster session sponsored by KLA.Creating a place where kids of all abilities can play together
Prof. Hun-Seok Kim helped design iGYM, an augmented reality system that allows disabled and able-bodied people to play physical games together.
Enabling large-scale testing of cancer drugs with machine learning
Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics.
Michigan AI celebrates second annual symposium
The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.
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
Taking machine-learning models in health care from concept to bedside
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.Creating more efficient data centers for AI
Tang’s project will redesign data center systems to support large-scale use of hardware accelerators to meet future computational demand.
DARPA Award for more responsive AI that combines human and machine
The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.
Laura Balzano receives NSF CAREER Award to improve machine learning for big data applications
Her research deciphering messy data sets will first tackle applications in genetics and computer vision.
Crafting better digital systems with ECE PhD student Jie-Fang Zhang
Zhang is recognized with the Chia-Lun Lo Fellowship for his work designing hardware solutions that could help support computer vision and machine learning.
Two papers announced among 10 most influential in healthcare and infection control
The papers provide data-driven solutions to hospital infection and the use of machine learning in healthcare.
The logic of feeling: Teaching computers to identify emotions
A Q&A with machine learning expert Emily Mower Provost.
Fake news detector algorithm works better than a human
System sniffs out fakes up to 76 percent of the time.
Blue Sky: Up to $10M toward research so bold, some of it just might fail
Inspired by startup funding models, Michigan Engineering reinvents its internal R&D grant structure.
Prof. Jason Corso on artificial intelligence
The most exciting use of AI for me focuses around a better collective use of our available resources, says Corso.
Exploring the source of social stereotypes
Carvalho plans to pursue research at the intersection of reinforcement learning, machine learning, and computational cognitive science.
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.
Laura Balzano partners with 3M to advance research in big data
Prof. Laura Balzano received a 2018 3M Non-Tenured Faculty Award to advance her research in Big Data.Students win prizes for improving image processing techniques for liver cancer detection and much more
Students in EECS 556: Image Processing, explore methods to improve image processing in applications such as biomedical imaging and video and image compression
Andrew Wagenmaker awarded NSF Fellowship for machine learning
Wagenmaker will utilize the award as he pursues his doctoral degree at the University of Washington.
CSE Graduate Student Xinchen Yan Selected for Rackham Predoctoral Fellowship and Google PhD Fellowship
Xinchen Yan was selected for both fellowships to support his research in machine learning and its application in computer vision, graphics and robotics.
Prof. John Laird and CSE Alumna Shiwali Mohan receive award for research on learning in autonomous intelligent agents
The award is for papers that present ideas and visions that can stimulate the research community to pursue new directions, such as new problems, new application domains, or new methodologies.
Emotions predicted by examining the correlation between tweets and environmental factors
External factors, ranging from weather, news exposure, social network emotion charge, timing, and mood predisposition may have a bearing on one’s emotion level throughout the day.
Bringing smart banking to market
Jason Mars, CEO of Ann Arbor startup Clinc, was named #2 in Bank Innovations’s “10 Most innovative CEOs in Banking 2017” list. Clinc is leading the pack for development of intelligent banking assistant software.
$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.
Michigan, Georgia Tech researchers funded to deter financial market manipulation
Increasingly, market manipulators are attacking market integrity through complex computer-controlled attacks.
“Learning database” speeds queries from hours to seconds
Verdict can make databases deliver answers more than 200 times faster while maintaining 99 percent accuracy.
Codeon is the intelligent assistant for software developers
With Codeon, developers can request help by speaking their requests aloud within the context of their Integrated Development Environment (IDE).
Kurator Will Help You Curate Your Personal Digital Content
Kurator is a hybrid intelligence system leveraging mixed-expertise crowds to help families curate their personal digital content, including videos and photos.
Movie design for specific target audiences
Researchers are working to design a successful movie that will attract the interest of a targeted demographic by leveraging user ratings, reviews, and product characteristics.
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.
Emily Mower Provost receives NSF CAREER Award to develop emotion and mood recognition for mental health monitoring and treatment
Prof. Mower Provost’s research interests are in human-centered speech and video processing, multimodal interfaces design, and speech-based assistive technology.
Can slower financial traders find a haven in a world of high-speed algorithms?
A frequent call market may help prevent ‘flash crashes.’
U-M researchers launch fight against C. difficile with $9.2M grant from NIH
Prof. Wiens will continue to use machine learning techniques to study the disease.
Machine learning proves useful for analyzing NBA ball screen defense
The team used machine learning to extract information from NBA sports data for automatically recognizing common defense strategies to ball screens.
Honglak Lee selected for Sloan Research Fellowship
His work impacts computer vision, audio recognition, robotics, text modeling, and healthcare.
Jenna Wiens receives NSF CAREER Award to increase the utility of machine learning in clinical care
Her primary research interests lie at the intersection of machine learning and healthcare.
Jason Mars receives CAREER Award to advance system architectures for artificially intelligent services and applications
The award will enable Prof. Mars to understand how future cloud and mobile systems should be designed to support increasing demand from users of intelligent assistants.
U-M, IBM partner on advanced conversational computing system
The project aims to develop a cognitive system that functions as an academic advisor for undergraduate computer science and engineering majors at the university.
Lie-detecting software uses real court case data
U-M researchers are building a unique lie-detecting software that works from studying real world data from real, high-stakes court cases.
Steven Parkison earns NSF Fellowship to design tools for the future of autonomous cars
The goal of Steven’s research is to improve vision-based perception systems on cars and to create an extra layer of safety.
Jason Corso receives Google Faculty Research Award
Prof. Corso believes that this research could make it easier to search for certain types of videos on the web.
Research in machine learning earns Notable Paper Award at AISTATS 2014
Prof. Scott’s research is in the field of machine learning, and his paper builds upon “supervised pattern classification.”
Students to use IBM Watson Cognitive Computing System in class
Michigan is one of seven universities IBM is partnering with to give students access to the technology.