News

Nan Jiang Receives Rackham Predoctoral Fellowship for Research on Reinforcement Learning

Nan Jiang, a CSE PhD candidate, has been awarded a Rackham Predoctoral Fellowship to support his research while he completes his dissertation, which is entitled, A Theory of Model Selection in Batch Reinforcement Learning. The Rackham Predoctoral Fellowship is awarded to outstanding doctoral candidates in the final stages of their program who are unusually creative, ambitious and risk-taking. [Full Story]

Related Topics:  Graduate Students  Lab-Artificial Intelligence  

Sony Wants to Push AIs to Learn From Their Own Experiences

Sony has invested in AI startup Cogitai to build intelligent systems that will learn from their own experiences in the world. Prof. Satinder Singh, the co-founder of Cogitai, discusses continual learning and the future of intelligent systems. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Lab-Artificial Intelligence  

Michael P. Wellman Named Lynn A. Conway Collegiate Professor of Computer Science and Engineering

Michael P. Wellman has been named the Lynn A. Conway Collegiate Professor of Computer Science and Engineering in recognition of his outstanding contributions in the areas of research, education, and leadership. This appointment was celebrated at a ceremony which took place on May 5, 2016. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Wellman, Michael  

For Michigan Professor, Computer Science is Much More Than a Job

This article reports on Prof. Jason Mars and his work in developing technologies for intelligent personal assistants, from the software for the assistants themselves to the servers that are required to run such software. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Mars, Jason  

5 big challenges that self-driving cars still have to overcome

in this article, Prof. Edwin Olson comments on what are seen are the key challenges involved in deploying autonomous or assistive driving technology. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

CSE Alumna Arzucan Ozgur Receives Science Academy Young Scientist Award

Arzucan Ozgur (PhD CSE 2010) has been awarded a Science Academy Young Scientist Award (BAGEP 2016, Turkey). Arzucan is an assistant professor in the Department of Computer Engineering at Bogazici University in Istanbul. [Full Story]

Related Topics:  Alumni  Lab-Artificial Intelligence  Radev, Dragomir  

Walter Lasecki and Collaborators Win Best Paper at W4A

A team of four researchers including Prof. Walter Lasecki has won a Best Paper Award at the Web for All (W4A) Conference for "The Effects of Automatic Speech Recognition Quality on Human Transcription Latency," which explores how automated speech recognition and crowd-sourced human correction and generation of transcripts can be traded off to improve accuracy and latency. [Full Story]

Related Topics:  Accessibility  Big Data  Interactive Systems  Lab-Artificial Intelligence  Lab-Interactive Systems  Lab-Software Systems  Lasecki, Walter  

Jacob Abernethy: Machine Learning and the Wisdom of the Crowd

The National Science Foundation reports on the work of Prof. Jacob Abernethy, who is investigating the relationship between machine learning algorithms and market economy dynamics to develop socially beneficial forecasts. His work in this area is supported by a CAREER Award from NSF. [Full Story]

Related Topics:  Abernethy, Jake  Economic Systems  Lab-Artificial Intelligence  Machine Learning  

University Collaborates with Toyota on Autonomous Vehicle Hub

Toyota and Michigan have announced a new research collaboration that will involve a new Toyota facility, Mcity, and two faculty with appointments in CSE: Profs. Edwin Olson and Ryan Eustice. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

UM professors, students lead startup with real-world uses for AI technology

This article profiles Clinc, the artificial intelligence startup founded by Profs. Jason Mars and Lingjia Tang with CSE graduate students Michael Laurenzano and Johann Hauswald. Clinc is based in Ann Arbor and uses intelligent personal assistant technology to fuel new applications. [Full Story]

Related Topics:  Artificial Intelligence  Graduate Students  Lab-Artificial Intelligence  Mars, Jason  Tang, Lingjia  

Numbers Game

This article in Michigan Research examines the growing importance of sports analytics and describes the work of Prof. Jenna Wiens in using machine learning to extract information from NBA sports data for automatically recognizing common defense strategies to ball screens. [Full Story]

Related Topics:  Big Data  Lab-Artificial Intelligence  Machine Learning  Wiens, Jenna  

Google Self-Driving Car Will Be Ready Soon for Some, in Decades for Others

This article reports on a talk given by Chris Urmson, Google self-driving car project director, at the SXSW conference, in which he seemed to reset expectations regarding the arrival autonomous vehicles. The article includes comments by Prof. Edwin Olson, who researches self-driving cars at UM and who is quite familiar with the technical challenges that remain to be addressed before such vehicles become ubiquitous. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

U-M Researchers Launch Fight Against C. difficile with $9.2M Grant from NIH

CSE Prof. Jenna Wiens is a part of the U-M research team that has launched a $9.2 million effort to prevent and treat C. difficile infections. The team was awarded a grant from the National Institutes of Health, which is part of the U.S. governments $1.2 billion effort for a multi-agency attack on antibiotic-resistant bacteria. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Machine Learning  Wiens, Jenna  

Machine Learning Proves Useful for Analyzing NBA Ball Screen Defense

A research team including Avery McIntyre (December 2015 alumnus of the undergraduate CS program at Michigan) and Prof. Jenna Wiens has used machine learning to extract information from NBA sports data for automatically recognizing common defense strategies to ball screens. They shared their findings at the 10th MIT Sloan Sports Analytics Conference in Boston. [Full Story]

Related Topics:  Alumni  Lab-Artificial Intelligence  Machine Learning  Wiens, Jenna  

How to know when your boss is lying to you

This article in Mashable describes "tells" for when someone is lying. It includes a mention of new software developed by Prof. Rada Mihalcea and her collaborators that is better able to identify deception than human observers are. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Mihalcea, Rada  

Honglak Lee Selected for Sloan Research Fellowship

Assistant Professor Honglak Lee has been selected for a 2016 Sloan Research Fellowship by the Alfred P. Sloan Foundation for his work in deep learning and representation learning. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Lee, Honglak  

Jenna Wiens Receives NSF CAREER Award to Increase the Utility of Machine Learning in Clinical Care

Assistant Professor Jenna Wiens has been awarded an NSF CAREER grant for her research project, "CAREER: Adaptable, Intelligible, and Actionable Models: Increasing the Utility of Machine Learning in Clinical Care." Under this project, she will develop data-driven predictive models to transform large and diverse datasets into actionable knowledge for improved patient care. [Full Story]

Related Topics:  Big Data  Lab-Artificial Intelligence  Machine Learning  Wiens, Jenna  

Driverless cars work great in sunny California. But how about in a blizzard?

This article quotes Prof. Edwin Olson regarding the research he is doing in conjunction with Ford on autonomous vehicles and their use in conditions that include snow-covered roads. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

U-M, IBM Partner on Advanced Conversational Computing System

The University of Michigan and IBM have launched a $4.5 million collaboration to develop a new class of conversational technologies that will enable people to interact more naturally and effectively with computers. Under the project, the researchers will develop a cognitive system that functions as an academic advisor for undergraduate computer science and engineering majors at the university. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Lab-Artificial Intelligence  Lasecki, Walter  Lee, Honglak  Mars, Jason  Mihalcea, Rada  Mower Provost, Emily  Radev, Dragomir  Tang, Lingjia  

Cafarella and Lee Named Morris Wellman Faculty Development Professors

Michael Cafarella and Honglak Lee, assistant professors in Computer Science and Engineering, have been named Morris Wellman Faculty Development Professors. The professorship is awarded to junior faculty members in recognition of outstanding contributions to teaching and research. [Full Story]

Related Topics:  Cafarella, Michael  Lab-Artificial Intelligence  Lab-Software Systems  Lee, Honglak  

Even your academic advisor might one day be a robot

This article in Engadget highlights the new research collaboration between Michigan and IBM, which is aimed at building a conversationally-driven, artificially intelligent academic advisor that guides undergraduate students through their course options [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Lab-Artificial Intelligence  

Researchers make progress on holy grail of autonomous vehicles: driving in snow

This story by Michigan Radio talks about testing autonomous cars on snow covered roads. The new research was done by Profs. Edwin Olson and Ryan Eustice in collaboration with Ford. The new research shows it's possible for a self-driving car to get around using highly detailed 3D maps of everything that surrounds the vehicle. The news was also featured in their top of the hour news summary, please click here to listen. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

U-M, Ford are First to Address Autonomous Driving on Snow-Covered Roads

Researchers at U-M and Ford have tested new technology that allows autonomous vehicles to navigate on snow-covered streets. Their solution combines live LIDAR data with learned 3D map stores to enable the systems to compute location and to drive successfully. It is believed that this is the first test to address the challenges of snow-covered roads. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

Ford tests driverless cars in snow at U-M's Mcity

This article in MLive covers work done by Profs. Edwin Olson and Ryan Eustice in collaboration with Ford at Mcity, in which the researchers have tested new technology that allows autonomous vehicles to navigate on snow-covered streets. Their solution combines live LIDAR data with learned 3D map stores to enable the systems to compute location and to drive successfully. It is believed that this is the first test to address the challenges of snow-covered roads. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

How computers are getting better at detecting liars

This article highlights the lie-detecting software that was created by Prof. Rada Mihalcea. Using videos from high-stakes court cases, the researchers have built a lie-detecting software database that uses a persons words and gestures to detect behavioral patterns that may be out of the norm. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Mihalcea, Rada  

New software analyses words, gestures to detect lies

This Economic Times article highlights Prof. Rada Mihalceas research. She is developing a unique lie-detecting software that considers both the speaker's words and gestures, and unlike a polygraph, does not need to touch the subject in order to work. By studying videos from high-stakes court cases she is building the lie-detecting software based on real-world data. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Mihalcea, Rada  

New Lie-Detecting Software from U-M uses Real Court Case Data

By studying videos from high-stakes court cases, Prof. Rada Mihalcea and Prof. Mihai Burzo (UM Flint) are building unique lie-detecting software based on real-world data. Their prototype considers both the speaker's words and gestures, and unlike a polygraph, it doesn't need to touch the subject in order to work. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Mihalcea, Rada  

Dragomir Radev Named ACM Fellow for Contributions to Natural Language Processing and Computational Linguistics

Prof. Dragomir Radev has been elected a Fellow of the Association for Computing Machinery (ACM) for contributions to natural language processing and computational linguistics. Prof. Radev is a leader in the field of computational linguistics, which leverages techniques from computer science and linguistics and is concerned with the computational aspects of the human language faculty. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Radev, Dragomir  

Creating a formula to detect lies in the face (Spanish)

This article reports on research conducted by Prof. Rada Mihalcea and her collaborators in the area of deception detection. The researchers have produced a computer algorithm that is significantly better at spotting lies in courtroom testimony than humans are. [Full Story]

Related Topics:  Computational Linguistics  Lab-Artificial Intelligence  Machine Learning  Mihalcea, Rada  

Ford, Michigan Researchers Test First Autonomous Vehicle at Mcity

Profs. Edwin Olson and Ryan Eustice, working with Ford Motor Company, have been the first to test a fully autonomous vehicle at the University's Mcity test facility. The Ford vehicle features sensing and AI technology developed at Michigan. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  Transportation  

Lie-detecting algorithm spots fibbing faces better than humans

This article in New Scientist highlights the work of postdoctoral fellows Veronica Perez-Rosas and Mohamed Abouelenien, Prof. Rada Mihalcea, and Prof. Mihai Burzo in using machine learning to detect whether a person is being deceptive or not. The system outperforms the best human interrogators. [Full Story]

Related Topics:  Computational Linguistics  Lab-Artificial Intelligence  Machine Learning  Mihalcea, Rada  

Competitive Team in Data Science Launches at Michigan

The Michigan Data Science Team (MDST) has been formed to solve data prediction challenges in competitive venues. MDST is one of the first collegiate teams of its kind, with a mission to compete against professional and amateur data scientists from around the world in online prediction challenges. They've just completed their first competition with very good placement. [Full Story]

Related Topics:  Abernethy, Jake  Big Data  Lab-Artificial Intelligence  

Honglak Lee Receives CAREER Award for Research in Advanced Deep Learning Techniques

Assistant Professor Honglak Lee has been awarded an NSF CAREER grant for his project, "CAREER: New Directions in Deep Representation Learning from Complex Multimodal Data."Prof. Lee will develop advanced deep learning techniques to learn a robust representation that allows for holistic understanding and high-level reasoning (such as, analogy making, hypothetical reasoning and temporal prediction, and question answering) from complex, multimodal data. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Lee, Honglak  

Michigan Rolls a Different Kind of Car off a Different Kind of Assembly Line

This story on the Big Ten Network highlights the work of Prof. Edwin Olson, who is using 3-D printed low-speed electric vehicles provided by alternative carmaker Local Motors to develop an intelligent transportation on demand system built around autonomous vehicles. [Full Story]

Related Topics:  Artificial Intelligence  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  Transportation  

Scientists warn against Artificial Intelligence weapons

Prof. Michael Wellman confirms that the potential for danger from automated weapons systems should be taken seriously in this story that appeared on Detroit ABC affiliate WXYZ. Prof. Wellman was one of over a thousand AI researchers who recently signed a letter to the UN urging them to ban robotic weapons. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Wellman, Michael  

Two sentences explaining why your self-driving car wont have a steering wheel

Prof. Edwin Olson comments on why, once an autonomous vehicles is operating, it is actually difficult for a human occupant to take control in an emergency. Prof. Olson is working on projects related to autonomous vehicles and transportation systems at the newly-opened Mcity test facility. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

The race is on to figure out what self-driving cars should look like

In this Washington Post article, Prof. Edwin Olson notes that we don't know what autonomous vehicles might look like in the future, since autonomy will change many factors in the way transportation is scheduled and executed. Prof. Olson has just launched a project to study a transportation on demand system built around autonomous vehicles. [Full Story]

Related Topics:  Artificial Intelligence  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

Researchers Employ Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest

Researchers including Prof. Dragomir Radev and his former student and alumnus Rahul Jha teamed up with Bob Mankoff, Cartoon Editor for The New Yorker, to take a computational approach to understanding humor. [Full Story]

Related Topics:  Big Data  Lab-Artificial Intelligence  Radev, Dragomir  

Why Are Computers So Bad At Jokes?

What is funniness? Can it possibly be quantitative? And why is it so difficult to define -- for, say, a mechanical reproduction of it? These are questions that have plagued scientists for decades. And its the central question that brought together an incredibly diverse group of authors on a new paper looking for an answer, including Prof. Dragomir Radev; The New Yorker's Cartoon Editor, Bob Mankoff; and scientists from Yahoo! and Columbia. [Full Story]

Related Topics:  Big Data  Lab-Artificial Intelligence  Radev, Dragomir  

3-D Printed Cars Emerging; Early Units will Serve as Testbed for On-Demand System at Michigan

Prof. Edwin Olson will be using 3-D printed low-speed electric vehicles provided by alternative carmaker Local Motors to develop a transportation on demand system built around autonomous vehicles. He is quotes in the article about Local Motors' plans. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

An Autonomous "SmartCart" Testbed is Coming to Michigan

Researchers led by EECS Prof. Edwin Olson and NAME Prof. Ryan Eustice will be using 3D printed "SmartCarts" at Mcity to develop an on-demand autonomous transit system. The focus of this particular project is not the autonomy itself, but the challenges of an intelligent transit system that include understanding passengers' preferences and expectations, coordinating the routes of a fleet of vehicles, and figuring out how to balance supply and demand. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

U-M to Test Driverless 3-D Printed Carts

in this article, the Detroit News reports on the University of Michigan's plans to test low-speed, 3-D printed driverless carts within the year and eventually deploy them on its North Campus. Researches led b Prof. Edwin Olson will use the carts to develop an automated on-demand transportation system. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

Michigan Researchers Win Both Best Paper Awards at AAMAS 2015

Michigan researchers won both best paper awards at the International Conference on Autonomous Agents & Multiagent Systems 2015, which took place May 4-8 in Istanbul, Turkey. The two winning papers were selected from a field of 127 full paper submissions in the main technical track. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Graduate Students  Lab-Artificial Intelligence  Wellman, Michael  

2015 Faculty Promotions

Congratulations to the following faculty who received promotions this year: Prabal Dutta, J. Alex Halderman, Rada Mihalcea, Sandeep Pradhan, and Zhengya Zhang. Keep up the great work! [Full Story]

Related Topics:  Dutta, Prabal  Halderman, J. Alex  Lab-Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Lab-Software Systems  Mihalcea, Rada  Pradhan, S. Sandeep  Zhang, Zhengya  

Designing Machines - Can we create machines who learn like we do?

Technology certainly seems smart now - phones listen and talk, computers interpret images and video - but in spite of that, the field of artificial intelligence might best be described as a hot mess: an assortment of intriguing pieces that have yet to be integrated into a truly intelligent system. This article in looks at some of those pieces and how they might fit together. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Lab-Solid State Electronics (SSEL)  Laird, John  Lee, Honglak  Lu, Wei  Memristor  Solid-State Devices and Nanotechnology  

Elaine Wah Receives CoE Marian Sarah Parker Prize

Elaine Wah, a CSE PhD candidate, has been awarded a CoE Marian Sarah Parker Prize. The award is given to an outstanding woman graduate student who has demonstrated academic excellence, leadership qualities and outstanding contributions to the University and/or community. [Full Story]

Related Topics:  Graduate Students  Lab-Artificial Intelligence  Women in Computing  

Elaine Wah Receives Rackham Predoctoral Fellowship for Research on Algorithmic Trading

Elaine Wah, a CSE PhD candidate, has been awarded a Rackham Predoctoral Fellowship to support her research on algorithmic trading, or the use of automated computer algorithms to submit orders to buy or sell, in financial markets. [Full Story]

Related Topics:  Graduate Students  Lab-Artificial Intelligence  Women in Computing  

Edwin Olson: Driverless Cars (radio interview)

In this radio interview on Newstalk ZB in New Zealand, Prof. Edwin Olson discusses the future of autonomous vehicles, how autonomy might be introduced into the marketplace, and M City, the automated test track for autonomous vehicle research and testing at Michigan. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

Emily Mower Provost Receives Oscar Stern Award for Research in Emotion Expression and Perception

Assistant Professor Emily Mower Provost has been awarded the 2015 Oscar Stern Award for Depression Research. The award will support her research into how variation in mood affects variation in emotion perception using stimuli developed at UM. The intent of the award is to promote high impact, innovative ideas leading to strategic interventions to prevent or manage mood disorders. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Lab-Interactive Systems  Mower Provost, Emily  Women in Computing  

Chappie ponders future of humans in a world run on artificial intelligence

Prof. Satinder Singh Baveja is quoted in this article in The Washington Times on the emergence of artificial intelligence and the need for controls to be established before AI can operate independently of human oversight. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Lab-Artificial Intelligence  

Jacob Abernethy Receives NSF CAREER Award

Prof. Jacob Abernethy has received an NSF CAREER Award for his research project, "CAREER: Machine Learning through the Lens of Economics (And Vice Versa)," to investigate the relationship between machine learning and microeconomic theory. [Full Story]

Related Topics:  Abernethy, Jake  Artificial Intelligence  Economic Systems  Lab-Artificial Intelligence  Machine Learning  

Jia Deng Receives Google Faculty Research Award

Assistant Professor Jia Deng has been awarded a 2015 Google Faculty Research Award for his work in large-scale image understanding. The Google Faculty Research Awards program is a competitive worldwide program intended to facilitate more interaction between Google and academia. [Full Story]

Related Topics:  Artificial Intelligence  Deng, Jia  Lab-Artificial Intelligence  Robotics  

Careers in Robotics: Spotlight on the University of Michigan

This article in Robotics Business Review takes a look at robotics research at Michigan, in particular the work in perception and autonomy that is being conducted by Profs. Edwin Olson and Ryan Eustice. It also examines how that research is a key ingredient in the work to be done on autonomous vehicles at Michigan's new Mobility Transportation Center. [Full Story]

Related Topics:  Artificial Intelligence  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  Robotics  

Cooking robot may offer artificial culinary intelligence

Prof. Jason Corso was asked to comment on research that involved the use of artificial intelligence to provide robots with the ability to recognize objects and learn actions by watching humans. In this case, the robot was watching a video. He said it is possible to reconstruct the 3D environment (2D space plus time) that is being shown in the video. [Full Story]

Related Topics:  Artificial Intelligence  Corso, Jason  Lab-Artificial Intelligence  

CSE Graduate Student Develops Lower-Cost Self-Driving Car Navigation System

CSE graduate student Ryan Wolcott has developed a navigation system for autonomous vehicles that leverages game technology and which could eliminate the need for expensive laser-scanning sensor systems. [Full Story]

Related Topics:  Artificial Intelligence  Autonomous Vehicles   Graduate Students  Lab-Artificial Intelligence  

Four CSE Faculty Selected for College of Engineering Awards

Four CSE faculty have been selected for 2014-15 College of Engineering Awards in recognition of their outstanding contributions to research and education: Todd Austin, Ronald Dreslinski, J. Alex Halderman, and Edwin Olson. [Full Story]

Related Topics:  Austin, Todd  Dreslinski, Ron  Halderman, J. Alex  Lab-Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Olson, Edwin  

Olson on Mobility Transformation Facility

In this audio interview, Prof. Edwin Olson speaks about the 36-acre Mobility Transformation Facility at Michigan and his work in developing and testing technologies for use in autonomous vehicles. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

Rada Mihalcea Selected as General Chair for NAACL Conference

Prof. Rada Mihalcea has been selected to serve as general chair for the 2015 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). Rada Mihalcea is overseeing the entire conference. It is the largest computational linguistics conference in North America, and one of the largest worldwide. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Lab-Interactive Systems  Mihalcea, Rada  Women in Computing  

Prof. Edwin Olson Receives NSF CyberSEES Award

Associate Professor Edwin Olson was recently awarded an NSF CyberSEES grant for his research project, Sustainably Unlocking Energy from Municipal Solid Waste Using a Sensor-Driven Cyber-Infrastructure Framework. The award aims to advance the science of sustainability in tandem with advances in computing and communication technologies. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Olson, Edwin  Sustainability  

Jia Deng Receives 2014 Yahoo ACE Award

Prof. Jia Deng has been awarded a 2014 Yahoo ACE (Academic Career Enhancement) Award.The award is given to five top young professors at leading research universities around the world who are selected among promising first and second-year faculty members conducting Yahoo relevant academic research. [Full Story]

Related Topics:  Deng, Jia  Lab-Artificial Intelligence  

Jia Deng Wins Best Paper Award at ECCV

Prof. Jia Deng and his collaborators have won the Best Paper Award at ECCV for "Large-Scale Object Classification using Label Relation Graphs." It addresses a computer's ability to accurately classify objects in images, which is a fundamental challenge in computer vision research and an important building block for tasks such as localization, detection, and scene parsing. [Full Story]

Related Topics:  Deng, Jia  Lab-Artificial Intelligence  Robotics  

Jetpac: The Implications of the Google Acquisition

In this posting on Dell's Tech Page One site, Prof. Satinder Singh Baveja comments on how the totality of social media posts can, when analyzed on a massive scale, reveal deeply sensitive personal information. Google's recent acquisition of Jetpac wil allow the search engine company to expand its AI capabilities in directions that would potentially allow it to create such user profiles. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Big Data  Lab-Artificial Intelligence  Machine Learning  

Two New Faculty Join CSE in Fall 2014

CSE is delighted to welcome two outstanding new faculty members to Michigan. With highly relevant research pursuits in the realms of secure and private Internet-scale services and in machine-learning and data extraction methodologies, they'll help to lead and teach us as we enter a world increasingly shaped by computer science and engineering. [Full Story]

Related Topics:  Big Data  Lab-Artificial Intelligence  Lab-Software Systems  Machine Learning  Madhyastha, Harsha  Security (Computing)  Wiens, Jenna  

Dragomir Radev Coaches High School Linguists in Competition at International Linguistics Olympiad

Prof. Dragomir Radev has coached North American high school students to a variety of top and highly placed individual and team finishes at the 12th International Linguistics Olympiad (IOL), which was held in Beijing, China from July 21 through 25. It is the eighth year that Prof. Radev has performed this service. [Full Story]

Related Topics:  Computational Linguistics  Diversity and Outreach  Lab-Artificial Intelligence  Radev, Dragomir  

Robotics Researchers Ready for Automated Vehicle Test Facility

CoE robotics researchers Prof. Edwin Olson of CSE and Prof. Ryan Eustice of NAME will be amongst the first users of the Mobility Transformation Facility, the automated vehicle test facility being built on North Campus. The two will initially use the facility to run tests related to the development of sensing and mapping technology. [Full Story]

Related Topics:  Artificial Intelligence  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  Robotics  

Listening to Bipolar Disorder: Smartphone App Detects Mood Swings via Voice Analysis

U-M researchers, including Prof. Emily Mower Provost, Prof. Satinder Singh Baveja, Research Fellow Zahi Karam, and colleagues at the U-M Health Center, have created a smartphone app that monitors subtle voice qualities during everyday phone conversations to detect early signs of mood changes in people with bipolar disorder. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Lab-Artificial Intelligence  Machine Learning  Medical diagnosis  Mower Provost, Emily  

The Heritage of Mead & Conway: What Has Remained the Same, What Has Changed, What Was Missed, and What Lies Ahead

This recent Point of View article in the Proceedings of the IEEE reflects upon the impact of the vision and ideas of Prof. Emerita Lynn Conway and her collaborator Carver Mead of Caltech, and the work the two did in ushering in the VLSI revolution. [Full Story]

Related Topics:  Computer Architecture  Conway, Lynn  Lab-Artificial Intelligence  

Technological Singularity Passes, Unnoticed Until Now

Apr. 1, 2014 -- The technological singularity - that moment in time at which artificial intelligence surpasses the point of human intelligence - appears to have occurred just over three weeks ago, according to a researcher at the University of Michigan. [Full Story]

Related Topics:  Lab-Artificial Intelligence  

Olson: The Wall Street Journal - Driverless Cars Are Data Guzzlers

Michael Wellman Recognized with ACM/SIGAI Autonomous Agents Research Award

Prof. Michael P. Wellman has been selected by the ACM Special Interest Group on Artificial Intelligence as the recipient of its 2014 Autonomous Agents Research Award. The award acknowledges the contributions of outstanding researchers in the field of autonomous agents, and is granted each year to one individual whose work is influencing and setting the direction for the field. [Full Story]

Related Topics:  Artificial Intelligence  Economic Systems  Lab-Artificial Intelligence  Wellman, Michael  

Narayanasamy and Olson Named Morris Wellman Faculty Development Professors

Satish Narayanasamy and Edwin Olson, assistant professors in Computer Science and Engineering, have been named Morris Wellman Faculty Development Professors. The professorship is awarded to junior faculty members in recognition of outstanding contributions to teaching and research. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Narayanasamy, Satish  Olson, Edwin  

New Center Develops Technologies to Help Youths with Disabilities

A $4.5 million federal grant will allow U-M researchers to explore how technology can be used to help young adults with spinal cord dysfunction and neurodevelopmental disabilities to improve their health and become more independent as they mature. Prof. Edmund Durfee is the center's co-director. [Full Story]

Related Topics:  Ackerman, Mark  Baveja, Satinder Singh  Durfee, Edmund  Health  Lab-Artificial Intelligence  Lab-Interactive Systems  

Jia Deng Wins Marr Prize at ICCV

Prof. Jia Deng has won the Marr Prize at ICCV for his paper, "From Large Scale Image Categorization to Entry-Level Categories." Named for neuroscientist David Marr, the Marr Prize is a prestigious biennial award and is considered one of the top honors for a computer vision researcher. [Full Story]

Related Topics:  Deng, Jia  Lab-Artificial Intelligence  Robotics  

Rada Mihalcea to Study Physiological and Linguistic Signals of Human Behavior

Prof. Rada Mihalcea is co-PI for a new two-year grant from the National Science Foundation that will explore a new generation of computational tools for joint modeling of physiological and linguistic signals of human behavior with a focus on deception detection. [Full Story]

Related Topics:  Computational Linguistics  Lab-Artificial Intelligence  Mihalcea, Rada  

Dragomir Radev Assembles Two-Volume Collection of NACLO Linguistics Puzzles

Prof. Dragomir Radev has edited Puzzles in Logic, Languages, and Computation, a two-volume set of the best English-language problems created for students competing in the North American Computational Linguistics Olympiad. [Full Story]

Related Topics:  Computational Linguistics  Lab-Artificial Intelligence  Radev, Dragomir  

Rada Mihalcea Selected for NSF INSPIRE Award

Prof. Rada Mihalcea has been awarded an INSPIRE (Integrated NSF Support Promoting Interdisciplinary Research and Education) Award from the National Science Foundation for an interdisciplinary project on tracking cultural diversity. [Full Story]

Related Topics:  Computational Linguistics  Lab-Artificial Intelligence  Mihalcea, Rada  

Six New Faculty Join CSE

The CSE Division is pleased to announce the addition of six new faculty, beginning in Fall 2013. From contributions to big data and cloud explorations to servers and architectures, they'll help to lead and teach us as we enter a world increasingly shaped by computer science and engineering. [Full Story]

Related Topics:  Abernethy, Jake  Deng, Jia  Lab-Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Lab-Software Systems  Mars, Jason  Mihalcea, Rada  Mozafari, Barzan  Tang, Lingjia  

Wellman: CNN Money - Make $377,000 trading Apple in one day

Edwin Olson Awarded DARPA Young Faculty Award

Prof. Edwin Olson has been awarded a DARPA Young Faculty Award for "Mutual Modeling for Human/Robot Teaming with Minimal Communications," his research in the area of autonomous intelligent robotics. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Olson, Edwin  Robotics  

Fu: MIT Technology Review - Electric Therapy for Medical-Device Malware

Wellman: MSN Money - Every Day, Another Flash Crash

Honglak Lee Featured on AIs 10 to Watch List

Prof. Honglak Lee has been named to the prestigious list of AI's 10 to Watch, an acknowledgement of rising star researchers in artificial intelligence (AI) that is published every other year by IEEE Intelligent Systems. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Lee, Honglak  

Wellman: Think Progress - High-Frequency Trading Actually Does More Harm Than Good

Wellman: Huffington Post - High-Frequency Trading Is Bad For Profits, Including Those Of High-Speed Traders: Study

Wellman: Bloomberg - Sudden Stock Crashes Usually Caused by Human Error, SEC Says

Researchers Show That High-Frequency Trading Tactic Lowers Investor Profits

Research conducted by Prof. Michael Wellman and CSE doctoral student Elaine Wah illustrates how high-frequency trading strategies that exploit today's fragmented equity markets have led to a technical arms race and reduce investor profits overall. [Full Story]

Related Topics:  Artificial Intelligence  Economic Systems  Graduate Students  Lab-Artificial Intelligence  Wellman, Michael  

Wellman: TechCrunch - Trading Faster Than The Speed Of Reality

Edwin Olson Talks Robotics at World Science Festival

Prof. Edwin Olson spoke on his work in the realm of robotics at the annual World Science Festival in New York City on Sunday, June 2. His presentation was a part of the Festival's acclaimed Cool Jobs program, which features a series of thought-provoking and inspirational lectures on technical occupations aimed at young people and their families. [Full Story]

Related Topics:  Diversity and Outreach  Lab-Artificial Intelligence  Olson, Edwin  Robotics  

Fourth Annual Data Mining Workshop Brings Together Close to 200 Researchers

Close to 200 researchers from across the University of Michigan and from industry gathered in the Bob and Betty Beyster Building on North Campus for the fourth U-M Workshop on Data Mining in order to make connections and share their experiences and results. [Full Story]

Related Topics:  Big Data  Cafarella, Michael  Lab-Artificial Intelligence  Lab-Software Systems  Radev, Dragomir  

CSE Alum Co-Founds Goal-Tracking Company Beeminder

Need a little help to stay on track with your life goals? CSE alum Daniel Reeves (CSE PhD 2005) has created Beeminder, an on-line service that leverages your monetary pledge to help you stick to your goals. [Full Story]

Related Topics:  Lab-Artificial Intelligence  

Scott Reed Selected for NSF and NDSEG Graduate Research Fellowships

CSE doctoral student Scott Reed has been selected for two prestigious graduate fellowships to support his ongoing studies in computer science and engineering. His work has focused on developing new machine learning methodologies to solve problems in computer vision and other domains. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  

Prof. Dragomir Radev Receives U-M Faculty Recognition Award

Prof. Dragomir Radev has been selected to receive a U-M Faculty Recognition Award. This award recognizes "mid-career faculty who have demonstrated remarkable contributions to the University through outstanding achievements in scholarly research and/or creative endeavors; excellence as a teacher, advisor and mentor; and distinguished participation in the service activities of the university and elsewhere." [Full Story]

Related Topics:  Lab-Artificial Intelligence  Radev, Dragomir  

Martha Pollack Appointed U-M Provost

Former Associate Chair of Computer Science and Engineering Martha E. Pollack has been selected to serve as provost and executive vice president for academic affairs of the University of Michigan by President Mary Sue Coleman. Pollack has served as the university's vice provost for academic and budgetary affairs since 2010. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Pollack, Martha  

Benjamin Kuipers Named AAAS Fellow

Prof. Benjamin Kuipers has been elected a Fellow of the American Association for the Advancement of Science (AAAS) for his "distinguished contributions to artificial intelligence and robotics, particularly on the representation and effective use of incomplete knowledge of space and of dynamic physical mechanisms." [Full Story]

Related Topics:  Kuipers, Benjamin  Lab-Artificial Intelligence  

Edwin Olson Named to Popular Sciences Brilliant 10 List for 2012

Professor Edwin Olson has been named one of Popular Science "Brilliant 10" for his work in developing an autonomous fleet of intelligent and cooperative robots. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Olson, Edwin  

Researchers Including Dr. Gyemin Lee Win the Best Paper Award at IEEE HISB Conference

CSE post-doctoral researcher Gyemin Lee, Dr. Hitinder Gurm in U-M Department of Internal Medicine, and Professor Zeeshan Syed have won the Best Paper Award at the IEEE Healthcare Informatics and Systems Biology conference for their paper, "Predicting Complications of Percutaneous Coronary Intervention using a Novel Support Vector Method." [Full Story]

Related Topics:  Big Data  Health  Lab-Artificial Intelligence  Syed, Zeeshan  

Wellman: IEEE Spectrum - The Microsecond Market

Laird: The Cutting Edge - Sid Meier, Gaming Genius, Shares his Magic with Students

Michael Wellman Selected for IFAAMAS Influential Paper Award for 2012

Professor Michael Wellman has been chosen to receive the 2012 IFAAMAS Influential Paper Award for his 1993 paper describing a market-oriented programming approach to distributed problem solving, which was published in the Journal of Artificial Intelligence Research. [Full Story]

Related Topics:  Artificial Intelligence  Economic Systems  Lab-Artificial Intelligence  Wellman, Michael  

Computer Science Alum Stephanie Forrest Selected for ACM Newell Award

U-M Computer and Communication Sciences PhD alumna Stephanie Forrest, Professor of Computer Science at the University of New Mexico in Albuquerque, has been selected to receive the ACM/AAAI Allen Newell Award for 2011. [Full Story]

Related Topics:  Lab-Artificial Intelligence