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Michigan AI celebrates second annual symposium

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

Machine Learning and Systems: A conversation with 2020 Field Award winners Al Hero and Anders Lindquist

Hero and Lindquist took a few minutes to talk about the impact of machine learning on Signal Processing and Control Systems, and what they plan to do about it

Taking machine-learning models in health care from concept to bedside

The authors provide an overview of common challenges to implementing ML in a health-care setting, and describe the necessity of breaking down the silos in ML.

Creating more efficient data centers for AI

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

DARPA Award for more responsive AI that combines human and machine

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

Crafting better digital systems with ECE PhD student Jie-Fang Zhang

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

Two papers announced among 10 most influential in healthcare and infection control

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

The logic of feeling: Teaching computers to identify emotions

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

Fake news detector algorithm works better than a human

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

Blue Sky: Up to $10M toward research so bold, some of it just might fail

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

Prof. Jason Corso on artificial intelligence

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

Exploring the source of social stereotypes

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

Mingyan Liu, 2018 Distinguished University Innovator, talks about her company and data science commercialization

Mingyan Liu, recipient of the 2018 Distinguished Innovator of the Year award, gave a talk about her startup company and participated on a panel discussing data science commercialiation.

Students win prizes for improving image processing techniques for liver cancer detection and much more

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

Andrew Wagenmaker awarded NSF Fellowship for machine learning

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

Prof. John Laird and CSE Alumna Shiwali Mohan receive award for research on learning in autonomous intelligent agents

The award is for papers that present ideas and visions that can stimulate the research community to pursue new directions, such as new problems, new application domains, or new methodologies.

Emotions predicted by examining the correlation between tweets and environmental factors

External factors, ranging from weather, news exposure, social network emotion charge, timing, and mood predisposition may have a bearing on one’s emotion level throughout the day.

Bringing smart banking to market

Jason Mars, CEO of Ann Arbor startup Clinc, was named #2 in Bank Innovations’s “10 Most innovative CEOs in Banking 2017” list. Clinc is leading the pack for development of intelligent banking assistant software.

$1.6M toward artificial intelligence for data science

DARPA is trying to build a system that can turn large data sets into models that can make predictions, and U-M is in on the project.

Michigan, Georgia Tech researchers funded to deter financial market manipulation

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

“Learning database” speeds queries from hours to seconds

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

Codeon is the intelligent assistant for software developers

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

Kurator Will Help You Curate Your Personal Digital Content

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

Movie design for specific target audiences

Researchers are working to design a successful movie that will attract the interest of a targeted demographic by leveraging user ratings, reviews, and product characteristics.

Mingyan Liu: Confessions of a pseudo data scientist

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

Emily Mower Provost receives NSF CAREER Award to develop emotion and mood recognition for mental health monitoring and treatment

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

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

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

U-M researchers launch fight against C. difficile with $9.2M grant from NIH

Machine learning proves useful for analyzing NBA ball screen defense

Honglak Lee selected for Sloan Research Fellowship

Jenna Wiens receives NSF CAREER Award to increase the utility of machine learning in clinical care

Jason Mars receives CAREER Award to advance system architectures for artificially intelligent services and applications

U-M, IBM partner on advanced conversational computing system

Lie-detecting software uses real court case data

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

Steven Parkison earns NSF Fellowship to design tools for the future of autonomous cars

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

Jason Corso receives Google Faculty Research Award

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

Research in machine learning earns Notable Paper Award at AISTATS 2014

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

Students to use IBM Watson Cognitive Computing System in class

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