How can we harness the power of modern computers and massive sets of data to help us solve complex problems?
Can we train computers to “learn” on their own without incorporating our own assumptions and biases? Medicine, autonomous vehicles, image analysis, advertising, robotics … AI has an impact on all aspects of life in the 21st Century.
Departments conducting research relating to Artificial Intelligence are wide-ranging. Learn more about the multi-disciplinary approaches to gaining Artificial Intelligence in your undergraduate degree.
The cohort of 36 new tenured and tenure-track faculty includes 11 faculty hired at the rank of professor or associate professor.
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Housing Computer Science and Engineering together with the School of Information will drive advances in information and computing through a convergence of disciplines.
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Prof. Zetian Mi’s team are the first to achieve high-performance, highly stable green micro-LEDs with dimensions less than 1 micrometer on silicon, which can support ultrahigh-resolution full-color displays and other applications.
New technique could enable processing speeds a million to a billion times faster than today’s computers and spur progress in many-body physics.
New mathematical model links up slithering with some kinds of swimming and walking, and it could make programming many-legged robots easier.
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The new approach moves energy efficiently and could reduce energy losses converting light into electricity.
The hectoSTAR probe, with 128 stimulating micro-LEDs and 256 recording electrodes integrated in the same neural probe, was designed for some stellar brain mapping projects
Highlights include CNN and Popular Science.
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Highlights include The New York Times and National Geographic.
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Virtual assortment of user devices provides a realistic training environment for distributed machine learning, protects privacy by learning where data lives.
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A peel-off patterning technique could enable more fragile organic semiconductors to be manufactured into semitransparent solar panels at scale.
The new computer model accurately predicts the behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine.
Producing synthesis gas, a precursor of a variety of fuels and chemicals, no longer requires natural gas, coal or biomass.
Quantum materials emit light as though it were only a positive pulse, rather than a positive-negative oscillation.
Study uncovers first method for producing high-quality, wafer-scale, single-layer hexagonal boron nitride
The adaptive immune system serves as a template for defending neural nets from confusion-sowing attacks
Sheth is the co-founder of Inspiritus Health and has developed a simple to use, non-invasive medical device that keeps patients’ muscles engaged when they are on a ventilator to prevent muscle atrophy.
Tested without needing hospitals to share data, the method for developing the model could speed further improvements in medical prediction tools.
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The partnership will expand the capabilities of other labs, and enable them to conduct high-impact research.
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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.
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.
$2M project aims to partner humans with robots for safer jobsites.
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Splitting the path into difficult and easy terrain speeds up path planning for robots that use “hands” to maintain balance on uneven ground.
What should a robot do when it cannot trust the model it was trained on?
The facility will accelerate the future of advanced and more equitable robotics and mobility
The researchers compare them to fat deposits in living creatures.
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Getting rid of some gears enabled a free-swinging knee, regenerative braking and brought the noise level down from vacuum cleaner to fridge.
A Q&A with Chad Jenkins.
‘Noncritical’ in-person research begins ramping up, with public-health protocols.
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U-M startup says robotic food deliveries have quadrupled.
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Charting a path to powered exoskeletons: A Q&A with Leia Stirling
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An ultra-precise mind-controlled prosthetic.
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U-M researchers examined how a person’s perception of safety in an autonomous vehicle was influenced by its “personality” traits.
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Automated drone does work at the same speed as a novice roofer, researcher says.
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Data gleaned from cameras and sensors increases predictive accuracy.
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Michigan Engineering now hosts advanced robotics facilities for land, air, sea, and space.
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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.
The gift will accelerate construction.
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Cassie is the first offering from new startup Agility Robotics, and is loosely modeled on the cassowary, a flightless bird similar to an ostrich.
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.”
University of Michigan to explore inventive uses for the technology, including material science, biology and medicine
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A new algorithm efficiently determines optimal shapes for structures.
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A new machine learning platform detects and quantifies radiation-induced defects instantaneously and could be extended to interpret other microscopy data.
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An electrode array implanted in the brain predicts finger motions in near real time.
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Understanding how to design better catalysts could enable sustainable energy tech and make everyday chemicals more environmentally friendly.
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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.
A wrist-worn device detected disrupted sleep 24 hours before study participants began shedding flu viruses.
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Cancer cells delete DNA when they go to the dark side, so a team of doctors and engineers targeted the “backup plans” running critical cell functions.
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Polyurethane locks in the antimicrobial power of tea tree and cinnamon oils. The new technology could start making public spaces safer within a year.
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Work for the Michigan Department of Environment, Great Lakes and Energy will develop a policy roadmap to safe, low cost water services.
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A protein that crosses the blood-brain barrier carries a drug that kills tumor cells and another that activates the immune system.
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Nano-engineered drugs that stop harmful bacteria and viruses could be on the horizon.
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Technique pioneered at the University of Michigan could improve outcomes for cancer and neurological conditions.
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Michigan Engineering researchers will help reveal pathways for virus detection and transmission
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Studies in mice show how the two of the body’s natural injury responders conflict following traumatic muscle injuries.
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Terahertz light creates twisting vibrations in biomolecules such as proteins, confirming whether their compositions and structures are safe and effective.
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Computer modeling links a person’s genes to whether producing more antibodies will help them fight off the disease.
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Twisted semiconductor nanostructures convert red light into the twisted blue light in tiny volumes, which may help develop chiral drugs.
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The multidisciplinary research team will synergize efforts across the University.
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The model can be used as a tool to inform decision-makers and individuals on relative risks and advantages associated with a layered defense.
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In preparation for climate adaptation in water-stressed areas, researchers will assess how well existing treatment systems prepare water for reuse.
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A conventional approach to HIV vaccination does not induce immune responses in everyone equally, and a new computer model shows why.
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Material and size designed to give electrodes a chance to operate in the body for years.
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“Wastewater-based epidemiology has shown to be a valuable tool to inform public health officials of case levels and infection trends in a community.”
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The method could one day be used to develop nanobodies against other viruses and disease targets as well.
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How engineers are applying their expertise for future planning.
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U-Michigan and Auburn researchers will use cough simulators, lasers, mannequins, human subjects and computational modeling.
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First-of-its-kind study examined multiple pathogens, as well as filtration and fit.
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A new approach makes liquid-crystal-like beacons out of harmful amyloid proteins present in diseases such as Type II diabetes.
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Measuring RNA from SARS-COV-2 allows for more accurate testing than similar methods.
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Research in mice shows efficacy for multiple sclerosis.
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Medical giant Johnson & Johnson and federal HHS select U-M design with “minimal impact on daily life.”
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Amid six months of tumult and chaos, engineering researchers moved quickly and collaboratively with public health officials, producing vital research in the fight against COVID-19.
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University of Michigan collaboration with Hackensack Meridian CDI offers new pathway to identify antibodies.
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Traditional 2D research may rule out better treatment options.
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The company’s technology delivers an anti-inflammatory agent directly to overreactive neutrophils, minimizing harm from “cytokine storms.”
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Studies in mice give clues to combatting changes in muscle stem cells.
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Engineers used smoke machines, physics-based modeling and route optimization algorithms to quantify risk.
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Microsoft-supported project to coordinate site locations, supply distribution.
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Rather than attacking cancer cells directly, new cell-model research probes weaknesses in pancreatic cancer’s interactions with other cells to obtain nutrients needed for tumor growth.
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“The technology can give users the confidence they deserve when reusing respirators or other PPE.”
Public policy and engineering team up to improve food access.
An autonomous HVAC system could provide more comfort with less energy.
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When white blood cells don’t know when to stop, an injection of rod-shaped particles may draw them away from a site of excessive inflammation.
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The web tools will help state officials identify potential hotspots as they reopen Michigan to business.
As COVID-19 looks more like a disease of the immune system, a Michigan engineer is working with doctors to look at how immune responses differ between mild and severe cases.
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Predictive model could help care providers stay safe, anticipate patient needs.
A major defense project pivots to explore how to encourage COVID-safe behavior effectively.
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
U-M 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.
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Researchers from four U.S. institutions aim to pull the best from control theory and machine learning to build safer mobile, intelligent systems.
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Virtual copies of nuclear reactors could enable smarter maintenance for current reactors and more automation for advanced reactors.
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Creating and measuring intricacy in particles that could improve electronics and chemical reactions.
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Deep-learning AI will help keep us ahead of drug resistant pathogens. By Sriram Chandrasekaran
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A new method could replace trial and error drug development.
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The nation is using inexpensive commodity equipment to block 170K domains on more than 1K privately-owned ISPs.
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Circuit elements that store information in their electrical resistances enable a brain-like form of computing, storing and processing information in the same place.
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Voxel51 uses AI processing to identify and track objects and activities through video clips.
Human-generated responses could remotely assist autonomous vehicles decision’s during times of uncertainty.
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Censored Planet could provide new insight into the flow of online information
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Subscription service offers real-time monitoring
New, preliminary research found automated speech test accurately diagnoses Huntington’s disease 81 percent of the time and tracks the disease’s progression.
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System sniffs out fakes up to 76 percent of the time.
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With a customized Iver 3 underwater drone, the Deep Robotic Optical Perception (DROP) Lab have a new set of underwater eyes that provide a window into the health of the world’s lakes and oceans.
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Verdict can make databases deliver answers more than 200 times faster while maintaining 99 percent accuracy.
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Graphical online simulation could spur more targeted COVID-19 protection measures.
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.
By putting a twist on new “2D” semiconductors, researchers have demonstrated their potential for using single photons to transmit information.
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An interdisciplinary team from four universities are developing a new class of semiconductors for novel artificial photosynthesis and the production of clean chemicals and fuels using sunlight, as part of a DoD MURI
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PhD student Trevor Odelberg is looking to enable long range, highly reliable, and low-power cellular IoT devices that one day can run entirely on harvested energy, reducing battery waste and empowering devices to last for decades.
A self-erasing chip for security and anti-counterfeit tech.
Discovery could pave the way to high speed, low-energy quantum computing.
How changing the rules of computing could lighten Big Data’s impact on the internet.
Ironpatch could head off growing danger of security vulnerabilities in vehicle systems.
DARPA’s initiative to reinvigorate the microelectronics industry draws deeply on Michigan Engineering expertise.
‘You shouldn’t need a Ph.D. to design new computing systems.’
A five-nanometer-thick layer of silver and copper outperforms conventional indium tin oxide without adding cost.
In a project funded by National Geographic, ECE researchers are teaming up with the department of Ecology and Evolutionary Biology to advance our understanding of monarch butterfly migration with the most ambitious iteration of the Michigan Micro Mote yet.
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
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.
Prof. Peter Seiler co-authored the paper that focuses on reachability analysis for a variety of systems, including aircraft control and autonomous vehicles.
Seiler’s contributions to Matlab’s Robust Control Toolbox and to the control of vehicle platoons have resulted in major industrial applications.
With the help of 1.6 million GaN nanopillars per sensor, the University of Michigan team was able to provide human-level sensitivity with directionality on a compact, easily manufactured system
Transparent optical sensor arrays combine with a specialized neural network in new University of Michigan prototype
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.
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.
The Center for Entrepreneurship profiles a team of EECS students, who are working to develop the next generation of delivery vehicles.
Cassie Blue, the bipedal robot, takes advantage of the 2019 polar vortex to set a record-breaking walk.
CE undergrad Amulya Parmar designed a machine learning algorithm to curb fake news as part of the Tavtech Fellowship program.
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.
Second Prize overall went to doctoral student Xiuzhang Cai for his radar target classification research applicable to autonomous vehicles.
Researchers built the first visual SLAM processor on a single chip that provides highly accurate, low-power, and real-time results.
Prof. Robert Dick and advisee Ekdeep Singh Lubana developed a new technique that significantly improves the efficiency of machine vision applications
The most exciting use of AI for me focuses around a better collective use of our available resources, says Corso.
PhD student Jean Young Song offers an improved solution to the problem of image segmentation.
Five college teams test robotic suits that could enhance humans’ abilities.
Berenson works to improve the ability of autonomous robots to handle soft, deformable objects.
Research will focus on how autonomous vehicles adapt to wide-ranging changes.
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.
Prof. Shai Revzen’s lab in ECE has developed an inexpensive technique to rapidly fabricate a variety of useful robots.
Putting our arm movements into code.
A biologist turned roboticist takes a closer look at dog gaits to help design better movements for four-legged robots.
How to build fast and cheap robots
As a member of the DDOTS to PICS MURI, Revzen will advance modeling and control of dynamic systems.
New walking robot based on birds
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.
Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.
Prof. Ozay’s award-winning work will be used in future space missions
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.
Armin’s research is focused on the development of a sub-millimeter-wave radar system for the next generation of navigation and imaging sensors.
Flynn is one of the world’s premier scholars of analog and mixed-signal integrated circuits and systems, analog-to-digital conversion (ADC), and other interface circuits.
The CHIPS and Science Act of 2022 promises to revitalize the U.S. semiconductor industry. Dennis Sylvester offers his perspective on what it means for ECE.
The ZEUS laser at the University of Michigan has begun its commissioning experiments
As a member of the X-lites program, ZEUS joins an international community of extreme light labs working together to advance laser science for the benefit of society
Bentley presented her research as an NDSEG Fellow. She is working to make smaller, more affordable high accuracy navigation-grade gyroscopes.
Patel and Michielssen developed the Wigner-Smith time delay matrix for electromagnetics.
Prof. Zetian Mi leads a team that created highly-efficient red micro LEDs suitable for augmented and virtual reality.
The book was co-authored by ECE Master’s student Wesley Joo-Chen Thio and Professor Emeritus Julien Sprott of U Wisconsin.
Atif’s coding framework addresses quantum information network coding problems and has helped uncover new insights into the world of quantum information.
Jian works to improve the efficiency of high-power electronics for better energy security and sustainability.
Mohanty’s research is focused on advancing high electron mobility transistors for next generation wireless technologies.
Jian’s research is focused on improving the efficiency of high-power electronics, which is important for energy security and sustainability.
A charge-neutral information carrier could cut energy waste from computing, now that it can potentially be transported within chips.
A longstanding collaboration between engineers and neuroscientists leads to new insights into how neurons work in the hippocampus.
A recent breakthrough in ferroelectric III-V semiconductors at the University of Michigan has been followed by several advancements and new funding to bring the technology closer to market.
Hofmann’s control technology has been implemented in commercial vehicles, and he works tirelessly to enhance opportunities for underrepresented students.
Yoon’s research has contributed to a better understanding of the brain, as well as improved detection and treatment of cancer.
Mi’s research is impacting the future of alternative energy, as well as improved methods for water purification and air disinfection.
Prof. Jay Guo and his team discovered a scalable way to settle down and precisely arrange micro- and nano-sized particles according to size
Ahmadi’s research is focused on using GaN and Ga2O3 materials to provide higher output power per unit area at higher frequencies.
Prof. Elaheh Ahmadi is working to design a new kind of semiconductor that can provide high power at high frequencies
The ECE startup builds neuromorphic computer chips uniquely suitable for AI applications
The study yields new insights into the survival of a native snail important to Tahitian culture and ecology and to biologists studying evolution, while proving the viability of similar studies of very small animals including insects
The ability to precisely tune electrical polarization switching through molecular beam epitaxy is a gamechanger
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.
When the pandemic shut down in-person instruction, this six-member team created and delivered individual lab kits to 1,200 students around the world so hands-on lab experience could continue.
In a project he calls the “Marauder’s Map,” Prof. Zhang uses machine learning-based data models, physics models, and heuristic models to turn physical structures into sensing devices.
Michael Flynn and his group are applying their groundbreaking work in beamforming to the challenge of low-power on-chip speech recognition.
The research could improve efficiency in systems such as electric vehicles, grid systems, mass transit, and industrial automation
Komma, a PhD student, is working to develop robust low powered localization technology for Artificial Intelligence enabled Internet of Things in locations where GPS is limited or blocked.
Rather than installing new “2D” semiconductors in devices to see what they can do, this new method puts them through their paces with lasers and light detectors.
The digital beamforming chip offers significant advantages over current analog beamforming solutions.
Prof. Al Hero was interviewed and gave a presentation about his research using machine learning to improve our understanding of the human gut
His research develops computational methods for learning succinct representations from high-dimensional data.
Kim takes an interdisciplinary approach to tackle challenges in heterogeneous classes of energy-efficient and versatile communication systems.
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
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.
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.
Liu’s most recent research involves online learning, modeling of large-scale internet measurement data, and incentive mechanisms for security games.
The M3 is a fully autonomous computing system that acts as a smart sensing system.
This research is expected to have a fundamental and long term impact on a diverse set of applications ranging from energy conservation to health care.
All of the research being presented focuses on getting the absolute best performance from the tiniest circuits, sensors, and electronic devices.
When decisions about your healthcare are informed by AI, bias in machine learning can have dire consequences. Ph.D. student Trenton Chang researches how inequities in healthcare delivery impact machine learning and AI.
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.
Team SEAGULL, led by doctoral student Yichi Zhang and advised by Prof. Joyce Chai, strives to develop embodied AI agents capable of attending to users’ needs, following natural language instructions, collaborating, and continuously improving through interaction.
The two will collaborate on building new programming techniques that are accessible to non-experts and non-programmers.
The meetup was intended to foster connections between researchers across campus with an interest in the development and application of NLP.
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.
His goal is to build AI systems that can recognize and understand a 3D and interactive world from a single image.
Prof. Chai has been recognized for significant contributions to grounded natural language processing and the interaction between language processing and robotics.
New model PixelSynth creates an interactive experience given just a single image.
A new algorithm gives autonomous agents the ability to take in batches of multiple instructions at once while responding dynamically to changes in their surroundings.
A new method enables robot arms to build a tower of champagne glasses.
Through her work in augmented reality, Jaylin hopes to improve the accessibility of emerging technologies for people with disabilities and expand access to computing.
Through his work in NLP and computational social science, Sky hopes to understand complex social interactions and contribute towards the democratization of technology.
Zhizhuo is interested in computer vision and its ability to make breakthroughs in interdisciplinary fields such as ecology and climatology.
The fellowship will advance her work in inferring relational world knowledge in machines with explicit and implicit representations.
Wang hopes that, by summarizing longer documents, she can make a new class of information more accessible to a variety of audiences.
His work is in the area of coordinating systems of autonomous agents that operate in uncertain, dynamic environments.
Twelve students and faculty co-authored papers spanning several key application areas for AI.
His work on reinforcement learning is aimed at accelerating the training of RL agents.
This distinction recognizes young researchers with exceptional promise who are having an impact on the world.
PhD student Emily Sheetz is working to design more dexterous robots to work alongside humans in space.
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.
The Rising Star Award is based on an individual’s whole body of work in the first five years after the PhD.
Kasikci will sift through the byproducts of hundreds of millions of common program executions to determine how this data can automate some key steps in bug finding and fixing.
The model is a practical method for robots to look for target items in complex, realistic environments.
The virtual interviewer uses therapeutic writing techniques to help users cope with difficult situations.
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.
Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.
Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.
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.
The students and faculty submitted projects spanning several key application areas for AI.
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.
The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.
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.
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.
May Mobility intends to gradually acclimate the public to the experience of autonomous driving.
The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.
Baveja’s paper tackled the difficult problem of giving artificial intelligence a way to understand and represent knowledge collected over time.
The new event series aims to create an educational environment for the public.
New algorithm can help robots go from structured environments like factories to complex, unstructured places like our homes.
“What I’m doing is trying to come up with ideas to let the agent continue learning different skills across its life.”
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
The papers provide data-driven solutions to hospital infection and the use of machine learning in healthcare.
His work in the area of real-time computing has spanned decades and has had impact in a broad range of applications.
The award recognizes Prof. Wenisch’s contributions to memory persistency and energy-efficient systems.
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
The approaches to energy adaptation he proposed are now commonplace, and the applications he analyzed (web browsers, voice recognition, video players, and maps) are still ubiquitous.
The symposium highlighted new developments in computer architecture, and included a session on how the center’s research can contribute to limiting the impact of pandemics.
U-M team will serve as model for nimble and innovative system-on-chip design.
New software developed by CSE engineers and inspired, in part, by a Batman movie, could give any smartphone the capacity to sense force or pressure on its screen or body.
Prof. H.V. Jagadish sheds light on current issues regarding data privacy and technology.
The researchers are finding a solution to implement state-of-the-art vision systems in wearable devices where there is little heat dissipation
Virta Laboratories was co-founded in part by Prof. Kevin Fu and former CSE postdoctoral researcher Denis Foo Kune.
A really big chip is ready to take on really big challenges.
HiJack is a hardware/software platform that utilizes the headset jack on a smartphone as a universal power/data interface.
The paper addresses how to manage multiple sources so that the user can maximize the information gained from each acoustic source.
The project proposes to produce a parallel heterogeneous 3D near-threshold computing system with unprecedented energy efficiency.
Serial entrepreneur Dug Song (CS BS 1997) and recent alum Jon Oberheide (CSE PhD 2011) founded security firm Duo Security in early 2010 and have rapidly grown their company to serve over 500 customers in 40+ countries around the world.
The 5-week course will provide the technical background and public policy foundation that today’s citizens need to understand the electronic voting debate.
The monitoring system will collect data from surface and penetrating sensors, then wirelessly relay the information to an inspector on site or miles away.
K-5 teachers and students throughout Michigan are building thriving learning communities online by using free deeply-digital, standards-aligned curricula and platform developed by the U-M Center for Digital Curricula.
The system can add more flexibility to task management apps to help learning users make informed decisions about their time.
The team will use fMRI to identify some of the underlying processes that occur when a code reviewer weighs in on a piece of software and its author.
Secrets lurk in the dark web, the 95 percent of the internet that most of us can’t see. One U-M professor is bringing some of those secrets to light, making the digital and the real world a little safer.
CSE students and faculty will collaborate as a part of a larger team to help respond to the crisis.
The paper explores how automated speech recognition and crowd-sourced human correction and generation of transcripts can be traded off to improve accuracy and latency.
He has built software systems for information extraction, database integration, and feature engineering and applied these to problems in the social sciences.
Prof. Mozafari is passionate about building large-scale data-intensive systems that are more scalable, more robust, and more predictable.
The software enables users to ask questions about the hosts and networks that compose the Internet and get an immediate reply.
The paper proposes an interactive natural language interface for relational databases, which enables novice users to construct complex queries.
100+ researchers from across the University of Michigan and from industry gathered on North Campus for the third U-M Workshop on Data Mining.
Probabilities with a negative sign have been of great use in quantum physics.
Baris Kasikci plans to improve software fuzzers by learning how deployed software is most commonly run by users.
Prof. Greg Bodwin has devised a solution to an important open question in graph theory that offers promising new options for repairing and constructing resilient networks.
The thesis completely solves a longstanding open problem in the theory of distributed computing.
Through his work, Tim hopes to dramatically accelerate genomic sequencing analysis, enabling the use of handheld genomic sequencers to produce actionable diagnostic data within minutes.
The Michigan Game Studios database, developed by lecturer Austin Yarger, helps organize the state’s rapidly growing scene.
How automated guarantees that our most complex programs are secure and trustworthy can save us time, money, and anxiety.
The new technique automatically constructs policies for applications that keep them from compromising other programs.
The award recognizes early career faculty who show great promise in developing future computing technologies.
His work is in complexity theory of distributed computing.
A new secure code is needed to protect private information from the power of quantum computing.
The system targets software that runs using concurrent execution, a widespread method for boosting performance, and proves whether a program will output what it’s supposed to.
“My research has the potential to democratize programming and make it possible for millions of people around the globe to automate otherwise tedious tasks using programming.”
Researchers are working with the city on two key initiatives to address food availability for elderly and low-income populations.
The team will build high-quality datasets to enable automatic quality checking and fraud detection of the new coronavirus data.
The student’s project targets critical moments where the next instruction in a program is only available in a slower type of memory.
Subarno Banerjee uses program analysis to improve software systems’ safety and security.
Goel designs algorithms that can automatically demonstrate the correctness of hardware systems.
Most programs in use today have to be completely rewritten at a very low level to reap the benefits of hardware acceleration. This system demonstrates how to make that translation automatic.
Researchers have demonstrated the ability to “unlearn” sensitive identifying data from audio used to train machine learning models.
A team at Michigan proposed an approach to generating realistic and high-fidelity stock market data to enable broader study of financial markets.
This round of funding strongly encourages pioneering work with the potential for major expansion.
Comparing graphs the team’s tool is up to an order of magnitude faster than competitive baselines.
Researchers designed three new systems to speed up code at several key bottlenecks.
Researchers plan to establish a framework for a national institute that would enable research using sensitive data, while preventing misuse and misinterpretation.
The team’s new tool will combine of software and data to make gathering structured data dramatically easier.
Tang’s project will redesign data center systems to support large-scale use of hardware accelerators to meet future computational demand.
As a fungal infection ravages bat populations, the new game hopes to promote public awareness of ongoing research to combat the issue.
Using real-time fMRI readings, researchers linked spatial reasoning with CS problem solving.
Erie provided database repairs that were previously performed exclusively by human programmers.
Danai Koutra earned the award for her proposal to innovate the way we use networks to understand the world and speed up our technology.
Perez’s research focuses on analyzing speech patterns of patients with Huntington Disease.
The goal of the work was to identify seven things about who the subject was talking to just by analyzing text messages.
Chowdhury’s lab multiplied the number of jobs a GPU cluster can finish in a set amount of time
Graphs that are customized, stored locally, and able to change over time can enable faster and more accurate searching and digital assistants
Kasikci presents a method to improve a program’s ability to use data in a straightforward, efficient way
This conversational in-vehicle digital assistant can respond to drivers’ questions and commands in natural language
Researchers used hierarchical trees to provide a better idea of how concepts are represented and related in a collection of text.
Researchers have implemented a new way to diagnose software failures with a high degree of accuracy and efficiency.
Foofah is a tool that can help to minimize the effort and required background knowledge needed to clean up data.
Jie Song devised a method to combine summarized datasets that group information by incompatible units.
The researchers identified movement between industry, academia, and government work, tracked the growth of important organizations, and built predictive models for career transitions and employer retention.
Even though we interact with different web services in different ways, there are clues in the data that can indicate trends and identify a unique profile.
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.
Three Michigan Engineering faculty help to elevate communities and systems through a people-first approach to teaching.
The post Expert take: Engineering for the success of humanity appeared first on Engineering Research News.
Mechanical engineers at the University of Michigan are tackling mysteries of bone density loss in space and on Earth.
The post Gravity’s impact on bone cells—experiments heading to the International Space Station appeared first on Engineering Research News.
$10M will fund training for 60 postdoctoral fellows as part of international cohort.
Known affectionately as “The Sh*tty Project,” Codling, an ECE PhD student, monitors the vibrations in pig pens to track the health of the piglets and predict when they’re in danger.
A team led by P.C. Ku and Qing Qu have developed a miniature, paper-thin spectrometer measuring 0.16mm2 that can also withstand harsh environments.
Euisik Yoon’s team, led by Sungjin Oh, developed a low-power neural recording front-end circuit to interface with state-of-the-art neural probes.
The SCISCCO system could better monitor brain and organ metabolism, helping to diagnose concussions, monitor cerebral metabolism in traumatic brain injury patients, and gauge the response of organs to treatments in an operating or emergency room scenario.
U-M CSE PhD candidate Sarah Jabbour discusses how collaboration is centered in her experience as a graduate student.
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.
U-M CSE PhD candidate Sarah Jabbour discusses how collaboration is centered in her experience as a graduate student.
Thatchaphol Saranurak and collaborators were recognized at SODA ’23 for their work that broke an approximation barrier in dynamic graph matching.
Dr. Mehdi Saligane, a leader in the open-source chip design community, was among the first researchers to fabricate a successful chip as part of Google’s multi-project wafer program.
Elaheh Ahmadi, David Blaauw, Michael Flynn, Hun-Seok Kim, Hessam Mahdavifar, and Zhengya Zhang bring their expertise and creativity to this nationwide undertaking in the area of semiconductors and information & communication technologies.
Led by Prof. Becky Peterson, the research focuses on a category of materials important for low power logic operations, high pixel density screens, touch screens, and haptic displays.
Next-gen computing material gets down to the right size for modern manufacturing.
Navid’s research is focused on artificial photosynthesis and optoelectronics using III-Nitride based semiconductor materials.
Xiao has been working on several projects in Prof. Zetian’s Mi’s group, including micro LED technology and renewable energy.
The tool is expected to advance the study of exciton dynamics, which could help identify new research directions for clean energy and information technology.
Prof. Zetian Mi’s team proved the viability of a reconfigurable, ScAlN/AlGaN/GaN ferroelectric HEMT transistor that is critical for next-generation communication and computing systems
Aditya is creating high-resolution, accessible, scalable, and portable imaging radars that are 200x cheaper and 100x smaller than what is currently available.
Yoo is making memory devices more flexible and tunable, making them irresistible for modern AI applications.