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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

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.

Bridging gaps in rural health care with AI-powered mobile clinics

General practitioners with AI help could make diagnoses, run and interpret tests, and perform procedures like specialists.

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.

Vijay Subramanian awarded $7.5M MURI to rethink game theory in dynamic environments

Prof. Subramanian is the lead PI on a collaborative project to improve the accuracy of modern game theory predictions and produce better outcomes.

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.

Aline Eid receives MTRAC Award to commercialize radar vision for autonomous indoor navigation

Prof. Eid will partner with the industry startup Atheraxon to market technology for automated guided vehicles in warehouse environments and beyond.

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.

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.

Report issued on state of intelligent vehicle dependability and security

Safe operation of fully autonomous vehicles on public roads is not anticipated in the near future.

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.

Using natural language processing to improve everyday life

Prof. Joyce Chai's work in natural language processing is bolstered by high performance computing systems operated by the Advanced Research Computing Group (ARC) in U-M's Information and Technology Services.

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.

A coaching bot for students learning coding, computational Machine Learning, and AI

Prof. Raj Rao Nadakuditi is developing a generative AI coaching bot that provides feedback to strengthen self-regulated learning skills.

Olivia Lee awarded NSF Graduate Research Fellowship for brain-machine interfaces that could improve control of robotic prostheses

Lee designs implantable and wearable electronics to help restore movement to those who have lost limbs or have been paralyzed.

U-M CSE research team advances to top five in Amazon Alexa Prize Simbot Challenge

The challenge is a means of pushing forward with their research into development of next-generation embodied AI agents.

Diversity and inclusiveness are an essential part of the pursuit of AI at CSE

The Michigan AI Lab is focused on building a community of diverse viewpoints in an effort to reduce the bias we see in the exploding world of artificial intelligence.

“It’s a supportive and collaborative environment” — making connections as a PhD student in and outside the classroom

U-M CSE PhD candidate Sarah Jabbour discusses how collaboration is centered in her experience as a graduate student.

U-M, Schmidt Futures to partner on new AI research program

$10M will fund training for 60 postdoctoral fellows as part of international cohort.

Six new projects funded by LG AI Research

The projects are a part of LG’s mission to advance AI such as Deep Reinforcement Learning, 3D Scene Understanding, and Reasoning with a Large-scale Language Model and Bias & Fairness related to AI ethics.

Prof. Xinyu Wang collaborates with UiPath to democratize automation

The two will collaborate on building new programming techniques that are accessible to non-experts and non-programmers.

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

Community-builder Leon Pryor takes Detroit’s FIRST Robotics program to new heights

Having excelled in careers at Microsoft, Amazon, and now Meta, the alum and renowned video game engineer co-founded The Motor City Alliance to make Detroit a powerhouse for FIRST Robotics teams

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.

Natural Language Processing at Michigan Research Day

The meetup was intended to foster connections between researchers across campus with an interest in the development and application of NLP.

Atkins chairs National Academies report on speeding discovery with automated research workflows

Prof. Emeritus Daniel Atkins III chaired and Prof. Al Hero served on a National Academies committee that published a new report describing the impact of artificial intelligence and automated research workflow technologies in propelling research and scientific discovery.

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

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

LG AI Research opens North American Artificial Intelligence Research Center in Ann Arbor with strong ties to U-M

The LG AI Research Center, and its partnership with U-M, represents a commitment by LG to become a leader in developing advanced AI technologies.

David Fouhey receives NSF CAREER Award for vision system to perceive the interactive world

His goal is to build AI systems that can recognize and understand a 3D and interactive world from a single image.

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.

Research on modeling time-variant systems earns Brockett-Willems Outstanding Paper Award

Prof. Peter Seiler co-authored the paper that focuses on reachability analysis for a variety of systems, including aircraft control and autonomous vehicles.

Joyce Chai named ACL Fellow for significant contributions to grounded natural language processing and the interaction between language processing and robotics

Prof. Chai has been recognized for significant contributions to grounded natural language processing and the interaction between language processing and robotics.

Peter Seiler named IEEE Fellow for his impactful contributions to robust control theory

Prof. Seiler’s contributions to Matlab’s Robust Control Toolbox and to the control of vehicle platoons have resulted in major industrial applications.

$1.7M to build everyday exoskeletons to assist with lifting, walking and climbing stairs

The modular exoskeleton system will help workers and the elderly, boosting ankle, knee and/or hip joints by mounting new motors to off-the-shelf orthotics.

$1M for open-source first-responder robots

An open-source perception and movement system, to be developed with NSF funding, could enable robots that partner with humans in fires and disaster areas.

Faster path planning for rubble-roving robots

Splitting the path into difficult and easy terrain speeds up path planning for robots that use “hands” to maintain balance on uneven ground.

$20M NSF AI-EDGE Institute aims to transform 5G and beyond networks

University of Michigan is a core member of a new NSF-led Institute that is a collaboration between 11 institutions, three government research labs, and four global companies

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.

3D motion tracking system could streamline vision for autonomous tech

Transparent optical sensor arrays combine with a specialized neural network in new University of Michigan prototype

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.

Jaylin Herskovitz selected for NSF Graduate Research Fellowship

Through her work in augmented reality, Jaylin hopes to improve the accessibility of emerging technologies for people with disabilities and expand access to computing.

Sky CH Wang selected for NSF Graduate Research Fellowship

Through his work in NLP and computational social science, Sky hopes to understand complex social interactions and contribute towards the democratization of technology.

Zhizhuo Zhou selected for NSF Graduate Research Fellowship

Zhizhuo is interested in computer vision and its ability to make breakthroughs in interdisciplinary fields such as ecology and climatology.

CSE doctoral student Tara Safavi receives Rackham Predoctoral Fellowship

The fellowship will advance her work in inferring relational world knowledge in machines with explicit and implicit representations.

Qi Zhang selected as first recipient of David J. Kuck Dissertation Prize

His work is in the area of coordinating systems of autonomous agents that operate in uncertain, dynamic environments.

Seven papers by CSE researchers presented at AAAI 2021

Twelve students and faculty co-authored papers spanning several key application areas for AI.

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.

Zeyu Zheng selected for JP Morgan PhD Fellowship

His work on reinforcement learning is aimed at accelerating the training of RL agents.

Incoming faculty Anhong Guo named one of Forbes’ 30 Under 30 in Science

This distinction recognizes young researchers with exceptional promise who are having an impact on the world.

New grant to expand open source control software for an intuitive robotic prosthetic leg

University of Michigan researchers have been awarded an NSF grant to design an open source framework for robotic prosthetic legs that function more naturally and offer a wider range of capabilities.

$1.8M DARPA project aims to protect cars, trucks and spacecraft from hackers

Ironpatch could head off growing danger of security vulnerabilities in vehicle systems.

Prof. Danai Koutra recognized as rising star with ACM SIGKDD Award

The Rising Star Award is based on an individual’s whole body of work in the first five years after the PhD.

Space motor helps make robotic prosthetic leg more comfortable and extends battery life

Getting rid of some gears enabled a free-swinging knee, regenerative braking and brought the noise level down from vacuum cleaner to fridge.

The Wolverines Behind the Next Generation of Autonomous Vehicles

The Center for Entrepreneurship profiles a team of EECS students, who are working to develop the next generation of delivery vehicles.

Technology that serves all: a single step could pave the way

A Q&A with Chad Jenkins.

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.

Faculty Profile: Emily Mower Provost

Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.

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.

Emily Mower Provost named Toyota Faculty Scholar

Her work uses machine learning to measure mood, emotion, and other aspects of human behavior for purposes of providing early or real-time interventions for people in managing their health.

Live public street cams are tracking social distancing

Voxel51, a U-M startup led by Prof. Jason Corso, uses custom AI to continuously track vehicle, cyclist, and pedestrian traffic in real time at some of the most visited places in the world.

CSE researchers present 9 papers at leading AI conference

The students and faculty submitted projects spanning several key application areas for AI.

Alumnus Peter Wurman inducted into National Inventors Hall of Fame

Wurman and his cofounders were recognized for their invention of the Kiva system, a revolutionary warehouse order fulfillment system that uses mobile robots and control software to bring inventory shelves to workers.

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.

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

A World Record for Robotic Deep Freeze Walking

Cassie Blue, the bipedal robot, takes advantage of the 2019 polar vortex to set a record-breaking walk.

AI-powered Whatsapp Bot fights fake news in India

CE undergrad Amulya Parmar designed a machine learning algorithm to curb fake news as part of the Tavtech Fellowship program.

New attack on autonomous vehicle sensors creates fake obstacles

Up to this point, no attacks had been discovered targeting a car’s LiDAR system—but a major new finding from researchers at the University of Michigan has demonstrated what that might look like.

U-M researchers provide control software to ensure autonomous vehicles stay in their lane

The team was awarded a Best New Application Paper Award by the IEEE Robotics and Automation Society for their work developing reliable control systems for Lane Keeping and Adaptive Cruise Control.

Year of growth, experiments for May Mobility

May Mobility intends to gradually acclimate the public to the experience of autonomous driving.

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.

Paper recognized for lasting contributions to AI decision making

Baveja’s paper tackled the difficult problem of giving artificial intelligence a way to understand and represent knowledge collected over time.

First programmable memristor computer aims to bring AI processing down from the cloud

Circuit elements that store information in their electrical resistances enable a brain-like form of computing, storing and processing information in the same place.

Six teams of ECE researchers make the finals at AP-S/URSI 2019

Second Prize overall went to doctoral student Xiuzhang Cai for his radar target classification research applicable to autonomous vehicles.

Computer vision: Finding the best teaching frame in a video for fake video fightback

The frame in which a human marks out the boundaries of an object makes a huge difference in how well AI software can identify that object through the rest of the video.

Advancing AI for Video: Startup launches powerful video processing platform

Voxel51 uses AI processing to identify and track objects and activities through video clips.

SLAM-ming good hardware for drone navigation

Researchers built the first visual SLAM processor on a single chip that provides highly accurate, low-power, and real-time results.

A quicker eye for robotics to help in cluttered environments

New algorithm can help robots go from structured environments like factories to complex, unstructured places like our homes.

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.

Rackham Fellowship for enabling autonomous agents to learn continuously

“What I’m doing is trying to come up with ideas to let the agent continue learning different skills across its life.”

‘Air traffic control’ for driverless cars could speed up deployment

Human-generated responses could remotely assist autonomous vehicles decision’s during times of uncertainty.

More efficient machine vision technology modeled on human vision

Prof. Robert Dick and advisee Ekdeep Singh Lubana developed a new technique that significantly improves the efficiency of machine vision applications

Precision Health Award for measuring moods

The result will be new measurement methods to determine how moods are shaped by both the behavior of an individual and daily interactions over time

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.

Jason Corso on artificial intelligence

The most exciting use of AI for me focuses around a better collective use of our available resources, says Prof. Corso.

Exploring the source of social stereotypes

Carvalho plans to pursue research at the intersection of reinforcement learning, machine learning, and computational cognitive science.

Faculty spotlight: Rada Mihalcea

Rada Mihalcea is a rock star professor of Electrical Engineering and Computer Science at U-M’s College of Engineering and a champion for the growth and retention of women in that field.

Connected cars can lie, posing a new threat to smart cities

The day when cars can talk to each other – and to traffic lights, stop signs, guardrails and even pavement markings – is rapidly approaching.

Paper award for training computer vision systems more accurately

PhD student Jean Young Song offers an improved solution to the problem of image segmentation.

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.

Exoskeletons compete to boost strength of rescue workers

Five college teams test robotic suits that could enhance humans’ abilities.

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

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.

Preventing deadly hospital infections with machine learning

Model successfully applied to data from medical centers with different patient populations, electronic health record systems

Duplicate text detection system now integrated with conference management software

The system is currently being used by IEEE and ACM, and helps them enforce their new 30%-policy.

BMW, Toyota invest in U-M startup May Mobility

Other investors include Detroit Venture Partners, Maven Ventures, SV Angel, Tandem Ventures, Trucks Ventures, and YCombinator.

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.

Professor Michael Wellman shares expertise in Asimov Memorial Debate

The debate was held at the American Museum of Natural History and was hosted by Neil deGrasse Tyson.

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.

Improving natural language processing with demographic-aware models

Word associations vary across different demographics, allowing researchers to build better natural language processing models if they can account for demographics.

Getting people moving – Walking exoskeletons could mobilize disabled patients

Prof. Jessy Grizzle has long said that his work in robotics could one day be used to help the disabled. Now he and his group, alongside French company Wandercraft, are working to make that claim a reality in the form of walking exoskeletons.

Latest two-legged walking robot arrives at Michigan

Built to handle falls, and with two extra motors in each leg, the new robot will help U-M roboticists take independent robotic walking to a whole new level.

“Learning database” speeds queries from hours to seconds

Verdict can make databases deliver answers more than 200 times faster while maintaining 99 percent accuracy.

BigANT tackles the wave field

Prof. Shai Revzen’s lab in ECE has developed an inexpensive technique to rapidly fabricate a variety of useful robots.

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.

Building more stable four-legged robots

A biologist turned roboticist takes a closer look at dog gaits to help design better movements for four-legged robots.

How to build a BigANT – Shai Revzen’s critter-inspired robots

How to build fast and cheap robots

Shai Revzen part of a new five-institution MURI focused on the control of dynamic systems

As a member of the DDOTS to PICS MURI, Revzen will advance modeling and control of dynamic systems.

Wellman participates in AI doomsday prevention workshop

Michael Wellman, a U-M Engineering professor, recently took part in a workshop to anticipate and prevent possible adverse outcomes of artificial intelligence.

CSE-based startup Clinc receives $6.3M in funding to further develop intelligent banking assistant

Clinc has built Finie, the world’s most advanced voice-controlled A.I. platform for banking.

CASSIE: A tougher, lighter bipedal robot with eyes

New walking robot based on birds

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.

U-M first in line for new bird-inspired walking robot

Cassie is the first offering from new startup Agility Robotics, and is loosely modeled on the cassowary, a flightless bird similar to an ostrich.

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.

$1.1 million grant to develop robot emergency response capabilities

Office of Naval Research has awarded Dmitry Berenson, an assistant professor of Electrical Engineering and Computer Science, $1.1 million to help advance emergency response capabilities for robots.

Jia Deng selected as recipient of PAMI Mark Everingham Prize

Prof. Deng and his collaborators received the award for their work on ImageNet.

Clinc launches Finie, an AI personal assistant for mobile banking

Finie, which can be referred to as the “Siri” of personal banking, is an artificial intelligence platform for banks that helps customers talk to their bank accounts in a natural and conversational way.

COVE: a tool for advancing progress in computer vision

Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.

Engineering an advantage in debates

Researchers at the University of Michigan have developed an algorithm that can analyze and measure the amount that one candidate linguistically matches their opponent and have found that matching your opponent in a debate leads to higher polling numbers.

Chad Jenkins receives NSF National Robotics Initiative Grant to improve robotic control in cluttered environments

This project aims to improve goal-directed dexterous robotic manipulation in cluttered and unstructured environments.

Necmiye Ozay receives NASA Early Career Faculty Award for research in cyber-physical systems

Prof. Ozay’s award-winning work will be used in future space missions

Toyota Research Institute Partners with U-M on Artificial Intelligence

Toyota will invest $22 million to begin research collaborations focused on autonomous vehicles and advanced robotics. Profs. Edwin Olson and Ryan Eustice will assume roles at the facility to lead research into perception and mapping/localization.

CSE-based startup receives funding to develop systems based on intelligent personal assistant technology

Clinc has built Lucida, its state-of- the-art, open-source intelligent assistant and machine learning platform that allows developers and the open-source community to easily create and deploy personalized voice and vision-based intelligent assistants.

Researchers seek to help the disabled with intelligent robotic wheelchair

Vulcan, the intelligent robotic wheelchair, aims to help the elderly and those with disabilities effortlessly move around their environment.

New venture is on the path to build continual learning AIs

Cogitai was formed with the aim of developing AI technology that empowers machines to learn from interaction with the real world.

EECS research highlighted at 2016 Robotics: Science and Systems Conference

The University hosted the 2016 Robotics: Science and Systems Conference, which allowed attendees to hear about the latest in robotics through talks, presentations, workshops, and tutorials.

Prof. Dragomir Radev Teaching Course on NLP Through Coursera

Prof Radev is teaching the 12-week course twice this summer; the course is free and open to the public.

MARLO makes initial attempt at the Wave Field

For now, Grizzle and his graduate students are only attempting the easiest routes, between the grassy two- to three-foot moguls, over smaller undulations that he calls “merely very difficult.”

Can slower financial traders find a haven in a world of high-speed algorithms?

A frequent call market may help prevent ‘flash crashes.’

An award winning radar system for collision avoidance and imaging

Armin’s research is focused on the development of a sub-millimeter-wave radar system for the next generation of navigation and imaging sensors.

Patented camera calibration tool automates calibration target acquisition

This innovative software guides users through the process of collecting a set of images of a calibration target.

Michigan shines at the National Robotics Initiative 5 year anniversary

The NRI is a multi-agency effort to accelerate the development and use of robots that work beside or cooperatively with people.

Beyond Asimov: How to plan for ethical robots

As robots become integrated into society more widely, we need to be sure they’ll behave well among us.

Rada Mihalcea co-authors new book on text mining

Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections.

MARLO, the free-standing two-legged robot, conquers terrain with innovative control algorithms

The robot’s feedback control algorithms should be able to help other two-legged robots as well as powered prosthetic legs gain similar capabilities.

Students receive prizes for simulating the best landing of a rocket booster

The goal of the class project was to control the safe landing of a rocket booster after it disengaged from the portion of the rocket that would continue into Space.

CSE faculty lead university collaboration with Toyota on autonomous vehicles

Faculty members Edwin Olson and Ryan Eustice are joining TRI as area leads.

Yu-Wei Chao selected for Google PhD Fellowship

Yu-Wei is a third year PhD student whose research focuses on computer vision and machine learning.

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.

Necmiye Ozay receives CAREER award for research in cyber-physical systems

Cyber-physical systems are smart, networked systems with embedded sensors, processors, and actuators that are designed to interact with the physical world.

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.

U-M, Ford are first to address autonomous driving on snow-covered roads

The solution Ford and U-M are working on involves high-resolution 3D maps. U-M researchers have developed these maps and Ford’s test vehicles are equipped with them.

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.

Ford, Michigan Researchers Test First Autonomous Vehicle at Mcity

The scope of the project consists of a number of thrusts including a key research collaboration led by Profs. Edwin Olson and Ryan Eustice, who are playing a leading role in the development of the critical sensing and decision-making found in the Ford test vehicles.

An Autonomous "SmartCart" Testbed is Coming to Michigan

Over the next year, U-M researchers will develop autonomy capabilities and build a mobile phone interface users can use to request a ride.

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.

ECE welcomes new engineering robotics center

The center, to be built on North Campus, will offer state-of-the-art facilities in a 3-story, 100,000 square foot building.

ECE’s ideas worth spreading – TEDxUofM

Profs. Shai Revzen and Herbert Winful spoke about their passion for their work at the sixth annual conference, themed “Constructive Interference”.

Meet Sirius: An Open-Source Digital Assistant

Sirius as an important platform for research into the development of next-generation warehouse computing. It gives researchers a testbed for studying how the data centers that process voice-enabled queries should evolve.

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.

Jessy Grizzle Delivers Distinguished University Professorship Lecture on Bipedal Robots

The lecture covered the different iterations of Prof. Grizzle's world-renowned bipedal creations since he started work on Rabbit in 1999.

HEV fuel economy meets drivability in Outstanding Control Systems Paper

The research aimed to find a happy medium between fuel economy and drivability in hybrid electric vehicles.

Necmiye Ozay awarded DARPA Young Faculty Award for research in cyber and physical systems

Prof. Ozay’s research interests lie at the broad interface of dynamical systems, control, optimization and formal methods with applications in system identification, verification and validation, autonomy and vision.

ECE welcomes four new faculty for 2014-15 academic year

These faculty deepen ECE’s areas of expertise in computer vision, communications and information theory, environmental remote sensing, and laser-plasma interactions.

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.

Technological singularity passes, unnoticed until now

Two-legged robot walks outside at U-M

MARLO and its counterparts represent the second bipedal robot model in the world with a gait that isn't flat-footed.

Research in distributed networks earns Notable Paper Award at AISTATS

The research provides a way to efficiently reveal relationships between even distant entities in a network.

Cockroaches and Robots: Reverse engineering the balance systems of animals

These new insights could one day help engineers design steadier robots and improve doctors’ understanding of human gait abnormalities.

Translating animal movement into better robotic design

Revzen believes that his findings can be used to engineer better man-made devices, including prosthetic limbs and complete robots.

Bourne Pursuit: Improving computer tracking of human activity

Researchers have found a way to improve a computer’s human-tracking accuracy by looking at where the targets are going, but also at what they’re doing.

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.

Robots Building Better Maps: For robots and other mechanical creatures

Nick’s primary research involves creating algorithms that decipher what the cameras and lasers are detecting to generate a map.

Jessy Grizzle Honored with Hendrik W. Bode Lecture Prize from IEEE Control Systems Society

This prestigious honor recognizes distinguished contributions to control systems science and engineering.

Sid Bao earns Best Student Paper Award for Computer Vision Research

Bao’s research is in Semantic Structure from Motion, a new framework for jointly recognizing objects as well as reconstructing their underlying 3D geometry.

MABEL the bipedal robot

MABEL, at one time the world’s fasted running bipedal robot, now sits in the biomechanics exhibit at the Chicago Field Museum.

Gyemin Lee receives Best Paper Award for research in machine learning for biomedical diagnosis

Lee’s primary motivation is to apply his research methods to hematopathology, the study of blood-related diseases.

Best Paper Award in Automation Research

The award was given at the IEEE Conference on Automation and Engineering. Congratulations, Lindsay!

Jessy Grizzle Named the Jerry W. and Carol L. Levin Professor of Engineering

Prof. Grizzle combines research excellence with teaching excellence.