Machine Learning

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.

A new faculty member at Michigan, Qu’s research has applications in imaging sciences, scientific discovery, healthcare, and more.

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.

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.

Their findings reduce average job completion time by up to 95% when the system load is high, while treating every job fairly.

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.

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.

Zhang is working to improve data security and address important ethical issues related to AI and discriminatory data sets.

Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.

Kim takes an interdisciplinary approach to tackle challenges in heterogeneous classes of energy-efficient and versatile communication systems.

Prof. Hun-Seok Kim helped design iGYM, an augmented reality system that allows disabled and able-bodied people to play physical games together.

Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics.

The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.

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

Tang’s project will redesign data center systems to support large-scale use of hardware accelerators to meet future computational demand.

The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.

Her research deciphering messy data sets will first tackle applications in genetics and computer vision.

Zhang is recognized with the Chia-Lun Lo Fellowship for his work designing hardware solutions that could help support computer vision and machine learning.

The papers provide data-driven solutions to hospital infection and the use of machine learning in healthcare.

A Q&A with machine learning expert Emily Mower Provost.

System sniffs out fakes up to 76 percent of the time.

Inspired by startup funding models, Michigan Engineering reinvents its internal R&D grant structure.

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

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

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.

Students in EECS 556: Image Processing, explore methods to improve image processing in applications such as biomedical imaging and video and image compression

Wagenmaker will utilize the award as he pursues his doctoral degree at the University of Washington.

Xinchen Yan was selected for both fellowships to support his research in machine learning and its application in computer vision, graphics and robotics.

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.

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.

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.

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.

Increasingly, market manipulators are attacking market integrity through complex computer-controlled attacks.

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

With Codeon, developers can request help by speaking their requests aloud within the context of their Integrated Development Environment (IDE).

Kurator is a hybrid intelligence system leveraging mixed-expertise crowds to help families curate their personal digital content, including videos and photos.

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.

Liu’s most recent research involves online learning, modeling of large-scale internet measurement data, and incentive mechanisms for security games.

Prof. Mower Provost’s research interests are in human-centered speech and video processing, multimodal interfaces design, and speech-based assistive technology.

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

Prof. Wiens will continue to use machine learning techniques to study the disease.

The team used machine learning to extract information from NBA sports data for automatically recognizing common defense strategies to ball screens.

His work impacts computer vision, audio recognition, robotics, text modeling, and healthcare.

Her primary research interests lie at the intersection of machine learning and healthcare.

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.

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 researchers are building a unique lie-detecting software that works from studying real world data from real, high-stakes court cases.

The goal of Steven’s research is to improve vision-based perception systems on cars and to create an extra layer of safety.

Prof. Corso believes that this research could make it easier to search for certain types of videos on the web.

Prof. Scott’s research is in the field of machine learning, and his paper builds upon “supervised pattern classification.”

Michigan is one of seven universities IBM is partnering with to give students access to the technology.