Machine Learning
Michigan hosts 7th annual Learning for Dynamics & Control Conference
The conference attracted 300 people from around the world to discuss the latest cross-disciplinary approaches in this new scientific area.Qing Qu Receives 2025 Google Research Scholar Award for Developing Efficient Generative AI Models
Prof. Qu’s research aims to reduce the cost and complexity of fine-tuning and training large-scale foundation models, while advancing the accessibility and sustainability of high-performance generative AI.Electrical and Computer Engineering curriculum prepares students to join the AI revolution
As AI-related skills become more valuable in research and industry, ECE faculty weave these topics into courses spanning their educational journey.Herbert Winful part of MURI team investigating AI-guided self-organization in nonlinear systems
Prof. Winful adds his unique expertise on the behavior of coupled semiconductor laser systems to a collaborative $9M project led by researchers at Yale University.Andrew Owens named 2025 Sloan Research Fellow
Owens will use the Sloan Research Fellowship to support his research on the development and utility of computer vision systems that learn from multisensory data.Kickstarter for Buddie: open source, AI-enabled earbuds
Collaborating faculty at the University of Michigan and Fudan University are crowdfunding a new wearable AI audio interface to enable always-listening context awareness, improve privacy, and allow AI application developers to try new ideas.New generative AI model can reconstruct a high-quality, sparse-view 3D CT scan with a much lower X-ray dose
Improvements move the deep learning technique towards use in 3D medical imaging.Andrew Owens’ research group uses visual illusions to test the limits of diffusion models
Members of Andrew Owens's research group, Daniel Geng, Aaron Park, and Ziyang Chen, are using ambiguous image generation to understand diffusion models.Fifteen papers by ECE researchers to be presented at the Conference on Neural Information Processing Systems
Topics of accepted ECE NeurIPS papers include diffusion models, large language models, multi-armed bandit models, and more.ECE faculty design chips for efficient and accessible AI
Faculty specializing in architecture, hardware, and software innovation accelerate machine learning across a range of applications.Andrew Owens receives NSF CAREER Award for research to improve machine perception systems
Prof. Owens’ research will help fully autonomous systems interact with their environments without human supervision.Matthew Raymond recognized for research using ML techniques to design new types of medicine
Doctoral student Matthew Raymond wants to facilitate the development of new and groundbreaking nanomedicines.Can Yaras recognized for his research aimed at efficient algorithms for LLMs
Doctoral student Can Yaras wants to reduce the carbon footprint of AI.OptoGPT harnesses AI to automate, speed design of optical structures
An optics-based machine-learning framework developed by ECE Prof. Jay Guo could be a game-changer in the push to design more advanced devices.Leveraging artificial intelligence for early detection of lung cancer
Predictive models developed by an interdisciplinary U-M research team have improved early lung cancer detection beyond traditional measures, with the potential to save lives.Hun-Seok Kim appointed as inaugural Samuel H. Fuller Early Career Professor of Electrical and Computer Engineering
Prof. Kim is a world leader in efficient algorithm and VLSI design for wireless communication, signal processing, computer vision, and machine learning.New textbook teaches students about matrix methods and their real world applications
Linear Algebra for Data Science, Machine Learning, and Signal Processing, written by ECE Professors Jeffrey Fessler and Raj Nadakuditi, provides an accessible and interactive guide to matrix methods.US engineers develop ChatGPT algorithm to design solar cells
OptoGPT is a new algorithm that harnesses the computer architecture underpinning ChatGPT. L. Jay Guo, ECE professor, says that it will enable researchers and engineers to design optical multilayer film structures for a wide range of applications, including solar cells.OptoGPT for improving solar cells, smart windows, telescopes and more
Taking advantage of the transformer neural networks that power large language models, engineers can get recipes for materials with the optical properties they need.Fourteen papers by ECE researchers to be presented at the International Conference on Machine Learning
Accepted papers for the ICML conference span topics including deep representation learning, language model fine-tuning, generative modeling, and more.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.Qing Qu receives Amazon Research Award
Qu's research project in the area of machine learning algorithms and theory is called "Principles of deep representation learning via neural collapse." Awardees, who represent 54 universities in 14 countries, have access to Amazon public datasets, along with AWS AI/ML services and tools.Voxel51 lands funds for its platform to manage unstructured data
TechCrunch features Voxel51, a startup founded by Prof. Jason Corso, which closed on $12.5m in Series A funding.Announcing Our $12.5M Series A Funding to Bring Transparency and Clarity to the World’s Data
Voxel51, founded by Prof. Jason Corso, closed on $12.5M Series A funding to accelerate the next phase of their growth in bringing data-centric Machine Learning to the world.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
In this Next Byte podcast, the hosts discuss Prof. Al Hero's recently published research that describes how machine learning can be used to better understand the human gut.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.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)
Qing Qu uses data and machine learning to optimize the world
Fairer AI for long-term equity
Introducing FiftyOne: A Tool for Rapid Data & Model Experimentation
Alum Brian Moore details Voxel51's new (and open source!) tool for your machine learning toolboxNew research teaches AI how people move with internet videos
Enabling fairer data clusters for machine learning
New machine learning method improves testing of stem-like tumor cells for breast cancer research
Research on human biases in AI learning earns best student paper award
Xueru Zhang awarded Rackham Predoctoral Fellowship
Computer scientists employ AI to help address COVID-19 challenges
Hun-Seok Kim receives CAREER Award to facilitate Internet of Things connectivity
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
Enabling large-scale testing of cancer drugs with machine learning
Michigan AI celebrates second annual symposium
Machine Learning and Systems: A conversation with 2020 Field Award winners Al Hero and Anders Lindquist
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
DARPA Award for more responsive AI that combines human and machine
Laura Balzano receives NSF CAREER Award to improve machine learning for big data applications
Crafting better digital systems with ECE PhD student Jie-Fang Zhang
Two papers announced among 10 most influential in healthcare and infection control
The logic of feeling: Teaching computers to identify emotions
Fake news detector algorithm works better than a human
Blue Sky: Up to $10M toward research so bold, some of it just might fail
Jason Corso on artificial intelligence
Exploring the source of social stereotypes
Mingyan Liu, 2018 Distinguished University Innovator, talks about her company and data science commercialization
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
Andrew Wagenmaker awarded NSF Fellowship for machine learning
CSE Graduate Student Xinchen Yan Selected for Rackham Predoctoral Fellowship and Google PhD Fellowship
Prof. John Laird and CSE Alumna Shiwali Mohan receive award for research on learning in autonomous intelligent agents
Emotions predicted by examining the correlation between tweets and environmental factors
Bringing smart banking to market
$1.6M toward artificial intelligence for data science
Michigan, Georgia Tech researchers funded to deter financial market manipulation
“Learning database” speeds queries from hours to seconds
Codeon is the intelligent assistant for software developers
Kurator Will Help You Curate Your Personal Digital Content
Movie design for specific target audiences
Mingyan Liu: Confessions of a pseudo data scientist
Emily Mower Provost receives NSF CAREER Award to develop emotion and mood recognition for mental health monitoring and treatment
Can slower financial traders find a haven in a world of high-speed algorithms?
U-M researchers launch fight against C. difficile with $9.2M grant from NIH
Machine learning proves useful for analyzing NBA ball screen defense
Honglak Lee selected for Sloan Research Fellowship
Jenna Wiens receives NSF CAREER Award to increase the utility of machine learning in clinical care
Jason Mars receives CAREER Award to advance system architectures for artificially intelligent services and applications
U-M, IBM partner on advanced conversational computing system
Lie-detecting software uses real court case data
Steven Parkison earns NSF Fellowship to design tools for the future of autonomous cars
Jason Corso receives Google Faculty Research Award
Research in machine learning earns Notable Paper Award at AISTATS 2014
Students to use IBM Watson Cognitive Computing System in class
John Laird Authors Book on Soar Cognitive Architecture
Professor John E. Laird, the John L. Tishman Professor of Engineering in the EECS Department, has authored a new book entitled "The Soar Cognitive Architecture," which has been published by MIT Press.Nate Derbinsky Wins Best Poster Award at ICCM
Ph.D. candidate Nate Derbinsky has won the Best Poster Award at the 11th International Conference on Cognitive Modeling (ICCM), which took place April 13 - 15 in Berlin, Germany.