News

Helping drivers use smart cars smarter

Profs. Jason Mars, Lingja Tang, CSE students Shih-Chieh Lin, Chang-Hong Hsu, and Yunqi Zhang, and Ford Motor Company have developed a conversational in-vehicle digital assistant that can respond to drivers questions and commands in natural language, helping them get to know the autonomous tools their cars have to offer. Their paper earned Honorable Mention Award in the Best Paper competition at this years ACM User Interface Software and Technology Symposium (UIST). [Full Story]

Related Topics:  Automotive industry  Autonomous Vehicles  Graduate Students  Lab-Artificial Intelligence  Mars, Jason  Tang, Lingjia  

Symposium celebrates 30 years of Artificial Intelligence at Michigan

The Michigan AI Lab celebrated 30 years of leading research with its first annual AI Symposium, AI for Society. The event welcomed 250 participants from U-M and around the country for a day of presentations, panel discussions, and poster sessions and featured U-M alumnus and Google VP Scott Huffman as the keynote speaker. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  

Trolley Folly

A favorite debate around self-driving vehicles is the trolley problem: a self-driving vehicle finds itself in a pickle and must choose between two terrible outcomes. See what Prof. Edwin Olson has to say on this much talked-about conundrum in his new article on Medium. [Full Story]

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

Toyota funds professorship in AI at U-Michigan

Prof. Satinder Singh Baveja is U-M's first Toyota Professor of Artificial Intelligence. A $3 million gift from Toyota Motor Corporation endows the first named professorship in artificial intelligence at the University of Michigan and provides additional funding to support AI and robotics faculty. [Full Story]

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

Outstanding student research on display

This year, three students working with Prof. Emily Mower Provost were recognized for outstanding projects in their areas at the Graduate Symposium. Katie Matton and Matt Perez won two of the Emerging Research categories, Engineering Innovation and Science Communication, respectively; and John Gideon earned honorable mention for the Richard and Eleanor Towner Prize for Outstanding Ph.D. Research. [Full Story]

Related Topics:  Artificial Intelligence  Graduate Students  Health and Safety  Lab-Artificial Intelligence  Machine Learning  Mower Provost, Emily  

Here's how an AI lie detector can tell when you're fibbing

Prof. Rada Mihalcea has worked on deception detection for about a decade. Popular Science looks at how she constructed one AI deception detector, and how it works. [Full Story]

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

Precision Health Award for measuring moods

Prof. Emily Mower Provost and collaborators on the Prechter Bipolar Research team were one of 10 recipients of the Michigan Precision Health Investigators Award. The awards includes grants of up to $300,000 each over two years, and awardees were chosen from among an initial pool of more than 100 applicants with significant research projects. [Full Story]

Related Topics:  Health and Safety  Lab-Artificial Intelligence  Mower Provost, Emily  

Self-driving cars will have to decide who should live and who should die. Heres who humans would kill.

In this article, Prof. Benjamin Kuipers comments on a study that surveys preferences for who to spare when an autonomous vehicle must crash. Kuipers says that the focus should actually be "If we can imagine a situation where this dilemma could occur, what prior decision should I have made to avoid this?" [Full Story]

Related Topics:  Artificial Intelligence  Autonomous Vehicles  Kuipers, Benjamin  Lab-Artificial Intelligence  

The logic of feeling: Teaching computers to identify emotions

Using machine learning to decode the unpredictable world of human emotion might seem like an unusual choice. But in the ambiguity of human expression, U-M computer science and engineering associate professor Emily Mower Provost has discovered a rich trove of data waiting to be analyzed. [Full Story]

Related Topics:  Artificial Intelligence  Health and Safety  Lab-Artificial Intelligence  Machine Learning  Mower Provost, Emily  

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

Prof. Jenna Wiens group had two papers highlighted in a session on the top 10 most influential papers in healthcare epidemiology and infection control at Infectious Disease Week (IDWeek 2018). The papers were selected for their impact, the number of times they were cited in the preceding two years, and their potential effect on future research and technology. [Full Story]

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

Gaining a deeper understanding of how personal values are expressed in text

Content analysis of large collections of text is often a useful first step in understanding what people are talking or writing about. PhD student Steve Wilson, Prof. Rada Mihalcea, and Master student Yiting Shen have proposed a new method of performing these analyses in their paper, Building and Validating Hierarchical Lexicons with a Case Study on Personal Values. The researchers earned a Best Paper Award at the 2018 International Conference on Social Informatics (SocInfo) for their work. [Full Story]

Related Topics:  Graduate Students  Lab-Artificial Intelligence  Language and Text Processing  Mihalcea, Rada  Women in Computing  

The Tinder for Markets Is Run on Crypto

In this article, Lynn A. Conway Professor of CSE Michael Wellman comments on the hedge fund Numerai and its market, which crowdsources data scientists to make predictions and is based on the cryptocurrency Numeraire. [Full Story]

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

A champion for women in computer science

Prof. Rada Mihalcea has been selected as the Center for the Education of Women (CEW+)s 2018 Carol Hollenshead Award recipient for her work to increase the pipeline and retention of women in engineering and computer science. Mihalcea has dedicated substantial effort to developing programs that introduce more women to the world of computing and encourage them to pursue graduate studies and research careers in the field. [Full Story]

Related Topics:  Diversity and Outreach  Lab-Artificial Intelligence  Mihalcea, Rada  Women in Computing  

Michigan CS makes waves at Tapia 2018

Students in CSE got the chance to network and celebrate diversity in computing at the 2018 Richard Tapia Conference, which took place in Orlando, Florida on September 19 - 22. This years conference theme was Diversity: Roots of Innovation, acknowledging the historical role of diversity in STEM innovation and its essential role in innovating the future. CSE staff attended the conferences exhibition hall as an event sponsor, and were able to connect with a number of students regarding programs of study in computer science and engineering at Michigan. [Full Story]

Related Topics:  Diversity and Outreach  Graduate Students  Jenkins, Chad  Lab-Artificial Intelligence  Undergraduate Students  

2001: A Space Odyssey: From science fiction to science fact

Three leading researchers, including Profs. Rada Mihalcea and Ben Kuipers, explored the question of science and science fiction in a panel discussion Friday, Sept. 21 part of Michigan Engineerings celebration of the 50th anniversary of 2001: A Space Odyssey. The panel preceded a screening of the film with live orchestral and choral accompaniment. Michigan Engineering and the University Musical Society co-sponsored the screening, which was one of only three such live performances across the country this year. [Full Story]

Related Topics:  Artificial Intelligence  Kuipers, Benjamin  Lab-Artificial Intelligence  Mihalcea, Rada  

May Mobility puts autonomous shuttles on the streets of Columbus, Ohio

May Mobility, the autonomous shuttle company founded by Prof. Edwin Olson, is training its vehicles to navigate the streets of Columbus. May has already launched their vehicles in Detroit, completed over 10,000 trips, and this is the second full implementation of the tech. [Full Story]

Related Topics:  Autonomous Vehicles  Entrepreneurship and Tech Transfer  Lab-Artificial Intelligence  Olson, Edwin  

Self-driving pods are slow, boring, and weird-looking and thats a good thing

May Mobility, co-founded by Prof. Edwin Olson, celebrated its 10,000th trip in Detroit, where its fleet of autonomous, six-seater shuttles offer rides to Quicken Loans employees for free along a one-mile loop. It only took the Ann Arbor-based startup 75 days to hit that mark, a sign that slow and steady can sometimes win the self-driving race. [Full Story]

Related Topics:  Autonomous Vehicles  Entrepreneurship and Tech Transfer  Lab-Artificial Intelligence  Olson, Edwin  

Women Killin it in STEM Fields

Prof. Rada Mihalcea was featured as one of 10 making incredible scientific discoveries in STEM fields from around the world. [Full Story]

Related Topics:  Diversity and Outreach  Lab-Artificial Intelligence  Mihalcea, Rada  

Michigan startup May Mobility to deploy self-driving shuttles in Columbus, Ohio

Michigan startup May Mobility, cofounded by Prof. Edwin Olson, has announced that it has been chosen by the state of Ohio to begin testing a self-driving shuttle service on the streets of Columbus. [Full Story]

Related Topics:  Autonomous Vehicles  Entrepreneurship and Tech Transfer  Lab-Artificial Intelligence  Olson, Edwin  

Detecting Fake News With The Help Of An Algorithm

Prof. Rada Mihalcea recently developed an algorithm that can identify fake news stories better than humans. The algorithm uses linguistic clues to differentiate between factual and inaccurate stories. [Full Story]

Related Topics:  Big Data  Lab-Artificial Intelligence  Mihalcea, Rada  

Detecting Huntington's disease with an algorithm that analyzes speech

In an advance that could one day provide new insight into the progression of neurological diseases like Huntington's disease, Alzheimers and Parkinson's, researchers including Prof. Emily Mower Provost have demonstrated the first automated system that uses speech analysis to detect Huntington's disease. [Full Story]

Related Topics:  Big Data  Health and Safety  Lab-Artificial Intelligence  Machine Learning  Mower Provost, Emily  

Algorithm outperforms humans at spotting fake news

An artificial intelligence system that can tell the difference between real and fake news often with better success rates than its human counterparts has been developed by Prof. Rada Mihalcea. Such a system may hep social media platforms, search engines, and news aggregators filter out articles meant to misinform. [Full Story]

Related Topics:  Artificial Intelligence  Big Data  Lab-Artificial Intelligence  Mihalcea, Rada  

Outstanding Postdoctoral Fellow Award for smart conversation tools

Jonathan Kummerfeld, postdoctoral fellow in CSE, has been recognized by U-M for his excellence in research, teaching, mentoring, service, and leadership. The Outstanding Postdoctoral Fellowship Award is given to 10 fellows each year. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Lab-Interactive Systems  Language and Text Processing  

CSE welcomes 9 new faculty

Models of human behavior, scene understanding, cryptography, convolutional neural networks, IoT sensors and systems, and a commitment to innovating in the practice of education. With nine new faculty hires in 2018, Michigan is expanding and strengthening the scope of its research activities in computer science and engineering while simultaneously broadening participation in the field through a focus on innovation and inclusiveness in education. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Lab-Interactive Systems  Lab-Systems  Lab-Theory of Computation  

Google award to introduce women to computer science research

Prof. Rada Mihalcea and PhD student Laura Wendlandt have been awarded a Google grant to develop a workshop that will give undergraduate women in computer science valuable hands-on research experience. The workshop theyve proposed, spread over an entire semester, would engage around 70 undergraduate women in computing research through a series of hands-on activities and mentorship from research faculty. [Full Story]

Related Topics:  Diversity and Outreach  Graduate Students  Lab-Artificial Intelligence  Mihalcea, Rada  Women in Computing  

Fake news detector algorithm works better than a human

An algorithm-based system that identifies telltale linguistic cues in fake news stories could provide news aggregator and social media sites like Google News with a new weapon in the fight against misinformation. Led by Prof. Rada Mihalcea, the researchers have demonstrated that its comparable to and sometimes better than humans at correctly identifying fake news stories. [Full Story]

Related Topics:  Artificial Intelligence  Big Data  Communications  Lab-Artificial Intelligence  Mihalcea, Rada  

Making online communication smarter with Trove Video

Trove is an Ann-Arbor based artificial intelligence startup built on the vision of improving communication using artificial intelligence. Profs. Danai Koutra and Walter Lasecki are collaborating with the company to develop novel methods and tools that will help make intelligent online communication smarter. [Full Story]

Related Topics:  Big Data  Communications  Koutra, Danai  Lab-Artificial Intelligence  Lasecki, Walter  

People are bad at spotting fake news. Can computer programs do better?

This article is a survey of the many projects dedicated to using computing power to identify fake news. It includes a description of work being done at Michigan by Veronica Perez-Rosas and her colleagues on the use of language in the posts regarding fake news. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Perez-Rosas, Veronica  

May Mobility Is Deploying Self-Driving Vehicles Now, Starting In Detroit

May Mobility, the autonomous shuttle service co-founded by Prof. Edwin Olson, is deploying low speed autonomous electric shuttles on the streets of downtown Detroit. [Full Story]

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

Faculty spotlight: Rada Mihalcea

Rada Mihalcea is a rock star professor of Electrical Engineering and Computer Science at U-M's College of Engineering and a champion for the growth and retention of women in that field. She sat down to talk with us about why she loves what she does and wants other women to love it, too. [Full Story]

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

CSE researchers funded to connect music and big data

Four U-M research teams, including two teams led by CSE researchers, will receive support for projects that apply data science tools like machine learning and data mining to the study of music theory, performance, social media-based music making, and the connection between words and music. [Full Story]

Related Topics:  Koutra, Danai  Lab-Artificial Intelligence  Lab-Systems  Lasecki, Walter  Mihalcea, Rada  

JPMorgan's latest hire proves the bank is serious about artificial intelligence

This article on the importance of AI to banking giant JP Morgan Chase quotes Prof. Jason Mars, co-founder of the startup Clinc, which makes AI products for the banking industry. [Full Story]

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

Three CSE faculty selected for Google Faculty Research Award

Profs. Jia Deng, Roya Ensfari, and Manos Kapritsos have been selected to receive the Google Faculty Research Award. The Google Faculty Research Awards Program aims to recognize and support world-class, permanent faculty pursuing cutting-edge research. [Full Story]

Related Topics:  Deng, Jia  Ensafi, Roya  Kapritsos, Manos  Lab-Artificial Intelligence  Lab-Systems  

Xinchen Yan Selected for Rackham Predoctoral Fellowship and Google PhD Fellowship

CSE PhD candidate Xinchen Yan has been selected for a Rackham Predoctoral Fellowship and a Google PhD Fellowship to support his research in machine learning and its application in computer vision, graphics and robotics. In his thesis, Xinchen investigates the conditional generation problem that synthesizes structured sensory data from a given conditioning variable. [Full Story]

Related Topics:  Graduate Students  Lab-Artificial Intelligence  

Preventing deadly hospital infections with machine learning

New machine learning models tailored to individual hospitals could give them a much earlier prediction of which patients are most likely to develop C. difficile, potentially helping them stave off infection before it starts. The models are detailed in a paper published today in Infection Control and Hospital Epidemiology. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Wiens, Jenna  

How May Mobility Is Spearheading Autonomous Driving In The Form Of Shuttle Services

This article describes how the startup May Mobility, cofounded by Prof. Edwin Olson, to getting to market first by focusing on autonomous shuttle service. [Full Story]

Related Topics:  Autonomous Vehicles  Entrepreneurship and Tech Transfer  Lab-Artificial Intelligence  Olson, Edwin  

BMW, Toyota invest in U-M startup May Mobility

May Mobility, the autonomous vehicle microtransit company co-founded by Prof. Edwin Olson to replace existing transportation systems with fleets of self-driving micro-shuttles, has announced that BMW i Ventures and Toyota AI Ventures have joined its investor-base. [Full Story]

Related Topics:  Autonomous Vehicles  Entrepreneurship and Tech Transfer  Lab-Artificial Intelligence  Olson, Edwin  

How Can We Trust a Robot?

This article by Prof. Benjamin Kuipers is featured in the March 2018 Communications of the ACM. Prof. Kuipers discusses how advances in artificial intelligence and robotics have raised concerns about the impact on our society of intelligent robots, unconstrained by morality or ethics. Includes a video interview with Prof. Kuipers. [Full Story]

Related Topics:  Artificial Intelligence  Kuipers, Benjamin  Lab-Artificial Intelligence  Robotics and Autonomous Systems  

BMW and Toyota are investing in a start-up that makes self-driving shuttles

May Mobility, cofounded by Prof. Edwin Olson, has received additional funding from BMW and Toyota for their autonomous shuttle technology. May hopes to get to market quickly by deploying shuttles on campuses and in other smaller-scale environments. [Full Story]

Related Topics:  Artificial Intelligence  Autonomous Vehicles  Entrepreneurship and Tech Transfer  Lab-Artificial Intelligence  

How Artificial Intelligence Is Going To Affect The Financial Industry In 2018

Prof. Jason Mars, cofounder (with Prof. Lingjia Tang and others) of the AI startup firm Clinc, is interviewed in this article on the AI-driven conversational interface Clinc has developed for the banking industry. Clinc had sales of $4.5M in 2017 and his partnering with USAA to roll out their technology. [Full Story]

Related Topics:  Artificial Intelligence  Entrepreneurship and Tech Transfer  Lab-Artificial Intelligence  Mars, Jason  Tang, Lingjia  

Prof. Michael Wellman participates in Asimov Memorial Debate

Michael Wellman, the Lynn A. Conway Professor of Computer Science and Engineering, participated in the recent Issac Asimov Memorial Debate on Artificial Intelligence, which was hosted by Neil deGrasse Tyson. You can see the entire debate in this video. [Full Story]

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

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

Prof. John Laird and CSE alum Shiwali Mohan have received the Blue Sky Award at the 2018 Association for the Advancement of Artificial Intelligence conference for their paper, Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Laird, John  

Chat tool simplifies tricky online privacy policies

Kang G. Shin, the Kevin and Nancy O'Connor Professor of Computer Science, and his collaborators have created an automated chatbot that uses artificial intelligence to weed through the fine print of privacy policies so that you will know what you're agreeing to. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Shin, Kang G.  

The Training Of Dr. Robot: Data Wave Hits Medical Care

This article reports on how machine learning is revolutionizing the process of making medical diagnoses. It opens by highlighting the work of Prof. Jenna Wiens and her collaborators in predicting a hospital patient's likelihood of developing a problematic C-diff infection. [Full Story]

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

Jia Deng selected for Sloan Research Fellowship

Assistant Professor Jia Deng has been selected for a 2018 Sloan Research Fellowship by the Alfred P. Sloan Foundation for his work in computer vision and machine learning. He directs the Michigan Vision & Learning Lab and his research seeks to enable computers to see and think like humans. [Full Story]

Related Topics:  Deng, Jia  Lab-Artificial Intelligence  

To Fight Fatal Infections, Hospitals May Turn to Algorithms

This article in Scientific American describes how machine learning is revolutionizing the process of making medical diagnoses. It opens by highlighting the work of Prof. Jenna Wiens and her collaborators in predicting a hospital patient's likelihood of developing a problematic C-diff infection. [Full Story]

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

Risk Aware Autonomy - Moving Artificial Intelligence Forward

This short video highlights the work of CSE PhD student Dhanvin Mehta, who is working on an algorithm to help guide robots in uncertain environments with constantly changing variables, such as for autonomous vehicles driving among pedestrians who can suddenly change direction or speed without signaling. [Full Story]

Related Topics:  Graduate Students  Lab-Artificial Intelligence  

Michigan researchers predict emotions by examining the correlation between tweets and environmental factors

Research fellow Carmen Banea, alumna Vicki Liu, and Prof. Rada Mihalcea explored the concept of grounded emotions, focusing on how external factors, ranging from weather, news exposure, social network emotion charge, timing, and mood predisposition may have a bearing on ones emotion level throughout the day. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Language and Text Processing  Mihalcea, Rada  

Persevering through the unknown: my conversation on emotion AI and problem solving with Emily Mower Provost

Prof. Emily Mower Provost was recently interviewed by the non-profit Iridescent - a company that brings science and engineering to underserved communities. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Mower Provost, Emily  

Prof. Chad Jenkins Receives CoE Trudy Huebner Service Excellence Award

Chad Jenkins, associate professor in Computer Science and Engineering, received the 2017 2018 Trudy Huebner Service Excellence Award from the College of Engineering. This award recognizes his significant and consequential contributions in service to the academy and his professional communities. [Full Story]

Related Topics:  Jenkins, Chad  Lab-Artificial Intelligence  

U-M startup May Mobility blazes toward autonomous fleet market

May Mobility, co-founded and led by Prof. Edwin Olson, has tested its autonomous vehicles on the streets of Downtown Detroit. The startup recently licensed five autonomous driving related technologies from U-M, and outside of the life sciences, is the most successful UM startup in raising first round of funding so quickly. [Full Story]

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

CSE Researchers Funded to Enhance Online Communication

Profs. Danai Koutra and Walter Lasecki have been awarded two grants from Trove.ai, an Ann-Arbor based artificial intelligence startup, to develop novel methods and tools that will unleash the power of online communication. [Full Story]

Related Topics:  Koutra, Danai  Lab-Artificial Intelligence  Lab-Systems  Lasecki, Walter  

Jenna Wiens Named Morris Wellman Faculty Development Professor

Jenna Wiens, assistant professor in Computer Science and Engineering, has been named a Morris Wellman Faculty Development Professor. The professorship is awarded to junior faculty members in recognition of outstanding contributions to teaching and research. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Wiens, Jenna  

Do Robots Deserve Human Rights?

In this article, Discover reached out to experts in artificial intelligence, computer science and human rights to shed light on whether or not robots should be given human rights. Prof. Kuipers talks about why robots do not deserve the same rights as humans. [Full Story]

Related Topics:  Kuipers, Benjamin  Lab-Artificial Intelligence  

Prof. Jason Mars is Bringing Smart Banking to Market

Ann Arbor-based spinout Clinc, which was founded by CSE Profs. Jason Mars and Lingjia Tang, along with their former students Michael Laurenzano and Johann Hauswald, in 2015, is leading the pack of intelligent banking assistant solutions. Their flagship product, called Finie, is being adopted by a number of banks. [Full Story]

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

DeepMind's latest AI breakthrough is its most significant yet

In this article, reinforcement learning expert Prof. Satinder Singh Baveja comments on DeepMind's findings published in Nature regarding AlphaGo Zero's breakthrough performance and indicates that it could be one of the biggest AI advances so far. [Full Story]

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

DeepMinds Go-playing AI doesnt need human help to beat us anymore

In this article, Prof. Satinder Singh Baveja comments on DeepMind's findings published in Nature regarding AlphaGo Zero. "Over the past five, six years, reinforcement learning has emerged from academia to have much more broader impact in the wider world, and DeepMind can take some of the credit for that," says Prof. Baveja. [Full Story]

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

DeepMind has a bigger plan for its newest Go-playing AI

In this article, Prof. Satinder Singh Baveja comments on DeepMind's findings published in Nature regarding AlphaGo Zero. Prof. Baveja reinforces the notion that with reinforcement learning, AI systems do not necessarily need human expertise. [Full Story]

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

The newest AlphaGo mastered the game with no human input

In this article, Prof. Satinder Singh Baveja is quoted from his commentary on the Nature article regarding DeepMind's use of unassisted reinforcement learning in the AlphaGo Zero system. He points out that AI programs like AlphaGo Zero, which can gain mastery of tasks without human input, may be able to solve problems where human expertise falls short. [Full Story]

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

Michigan, Georgia Tech Researchers Funded to Deter Financial Market Manipulation

Researchers at the University of Michigan and the Georgia Institute of Technology will develop innovative approaches to detecting and deterring the computerized manipulation of financial markets under a $1M grant from the National Science Foundations's Big Data program. Michael Wellman, the Lynn A. Conway Collegiate Professor of Computer Science and Engineering, is project director and one of five PIs. [Full Story]

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

Improving Natural Language Processing with Demographic-Aware Models

Michigan researchers, including Prof. Rada Mihalcea, research fellow Carmen Banea, and graduate student Aparna Garimella have found that word associations vary across different demographics, and researchers can build better natural language processing models if they can account for demographics. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Mihalcea, Rada  

Scribe: Deep Integration of Human and Machine Intelligence to Caption Speech in Real Time

Research by Prof. Walter Lasecki and his collaborators is highlighted in the Sept. issue of Communications of the ACM. The researchers describe Scribe, a system that combines human labor and machine intelligence to caption speech in real time. [Full Story]

Related Topics:  Artificial Intelligence  Assistive Technology  Lab-Artificial Intelligence  Lab-Interactive Systems  Language and Text Processing  Lasecki, Walter  

May Mobility is a self-driving startup with a decade of experience

May Mobility, founded by Prof. Edwin Olson, is focused on real-world implementations of autonomous driving technology, with a specific emphasis on whats possible today, not what might be doable five or ten years from now. [Full Story]

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

After Y Combinator, May Mobility Ready to Test Self-Driving Fleets

May Mobility, founded by Prof. Edwin Olson, is focused on real-world implementations of autonomous driving technology, with a specific emphasis on whats possible today, not what might be doable five or ten years from now. [Full Story]

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

Codeon is the Intelligent Assistant for Software Developers

Researchers, including Profs. Walter S. Lasecki and Steve Oney, and graduate students Yan Chen and Yin Xie have created Codeon, a system that enables more effective task hand-off between end-user developers and remote helpers by allowing asynchronous responses to on-demand requests. With Codeon, developers can request help by speaking their requests aloud within the context of their Integrated Development Environment. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Lab-Systems  Lasecki, Walter  

Kurator Will Help You Curate Your Personal Digital Content

People capture photos, audio recordings, video, and more on a daily basis, but organizing all these digital artifacts quickly becomes a daunting task. Automated solutions struggle to help us manage this data because they cannot understand its meaning. Profs. Walter Lasecki and Mark Ackerman have helped create Kurator, a hybrid intelligence system leveraging mixed-expertise crowds to help families curate their personal digital content. [Full Story]

Related Topics:  Ackerman, Mark  Lab-Artificial Intelligence  Lab-Systems  Lasecki, Walter  

Movie Design for Specific Target Audiences

Creating products that satisfy the market is critical to companies as it determines their success and revenue. Currently, experts use their judgment to estimate solutions to designing a new product that will satisfy customers, but this does not scale or allow leveraging massive datasets. Prof. Danai Koutra and her colleagues sought to identify how they can design new movies with features tailored to a specific user population. [Full Story]

Related Topics:  Koutra, Danai  Lab-Artificial Intelligence  Lab-Systems  

CHORUS: The Crowd-Powered Conversational Assistant

Prof. Walter Lasecki and his colleagues have developed a crowd-powered conversational assistant, Chorus, and deployed it to see how users and workers would interact together when mediated by the system. Chorus is capable of providing users with relevant responses instead of merely search results by recruiting workers on demand, who in turn decide what the best response is for each user sentence. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Lab-Systems  Lasecki, Walter  

Precision Health Pioneer Named to MIT Technology Review Innovator List

Prof. Jenna Wiens has been named one of MIT Technology Review's 35 Under 35 for her work in the development of data-driven predictive models needed to help organize, process, and transform data into actionable knowledge. Prof. Wiens' main focus is in the use of data and machine learning to advance the new field of precision health. [Full Story]

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

Social Interaction Patterns Provide Clues to Real Life Changes

Researchers including Prof. Danai Koutra have explored the dynamics of individual user interactions in social networks by creating iNET, a comprehensive analytic and visualization framework that provides personalized insights into user behavior. The researchers view their work as a first step towards fully exploring the amount and type of information that can be extracted from the online social footprint of a person. [Full Story]

Related Topics:  Koutra, Danai  Lab-Artificial Intelligence  Lab-Systems  

ACM to Publish Leading Journal of Human-Robot Interaction; Chad Jenkins Serves as Editor-in-Chief

The Journal of Human-Robot Interaction is scheduled to become an ACM publication in January 2018 and will be rebranded as the ACM Transactions on Human-Robot Interaction. Prof. Chad Jenkins will continue to serve as editor-in-chief. The journal covers the convergence of technology development and social understanding to capture the full spectrum of robotics. [Full Story]

Related Topics:  Jenkins, Chad  Lab-Artificial Intelligence  

Wellman and Rajan on the Ethics of Automated Trading

In this audio interview at Algocracy and the Transhumanist Project, Prof. Michael Wellman and Business Administration Prof. Uday Rajan comment on the ethics of autonomous trading agents on financial markets. The discussion encompasses algorithmic trading, high frequency trading, market manipulation, the AI control problem, and more. [Full Story]

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

Michigan Allots $87 Million to Replace Flints Tainted Water Pipes

Prof. Jacob Abernethy collaborated with Flint officials and colleagues at UM Flint on a study last year that analyzed the Flint water system and the undertaking required to identify and replace lead pipes in homes. He said that the state's just-announced plan for finishing the replacement of thousands of targeted lead pipes in three years seemed possible with enough money and resources. [Full Story]

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

AI Scientists Gather to Plot Doomsday Scenarios (and Solutions)

Michael Wellman, Lynn A. Conway Professor of Computer Science and Engineering, was part of a workshop aimed at worst-possible adverse outcome AI scenarios and how to prevent them. One of the topics discussed was Prof. Wellman's stock market manipulation scenario. [Full Story]

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

CSE-Based Startup Clinc Receives $6.3M in Funding to Further Develop Intelligent Banking Assistant

Clinc, the cutting-edge artificial intelligence startup founded by Profs. Jason Mars and Lingjia Tang along with CSE research fellow Michael Laurenzano and CSE graduate student Johann Hauswald, has announced it has closed a $6.3 million Series A round of financing. [Full Story]

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

Will artificial intelligence ever actually match up to the human brain?

This article asks the question: How long will it be until we have a general artificial intelligence, rathe than silos of narrow, specific AIs? John Laird, the John L. Tishman Professor of Engineering, comments in the article on the challenges involved in identifying capabilities and integrating them together into a general AI. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Laird, John  

Clinc Raises Venture Capital Round of $6.3 million

Clinc, the artificial-intelligence startup founded by CSE Profs. Jason Mars and Lingjia Tang, announced Wednesday morning that it has raised a funding round of $6.3 million. The company's open-source intelligent assistant and machine learning research platform is involved in research programs with Intel Corp., IBM Corp. and the National Science Foundation. [Full Story]

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

Emily Mower Provost Receives NSF CAREER Award to Develop Emotion and Mood Recognition for Mental Health Monitoring and Treatment

Prof. Emily Mower Provost has been awarded an NSF CAREER grant for her research project, "Automatic Speech-Based Longitudinal Emotion and Mood Recognition for Mental Health Monitoring and Treatment." The CAREER grant is one of the National Science Foundation's most prestigious awards, conferred for "the early career-development activities of those teacher-scholars who most effectively integrate research and education within the context of the mission of their organization." [Full Story]

Related Topics:  Big Data  Lab-Artificial Intelligence  Lab-Interactive Systems  Mower Provost, Emily  

How Powerful AI Technology Can Lead to Unforeseen Disasters

This article reports on a panel discussion on AI ethics and education hosted by the Future of Life Institute. Panelist Prof. Benjamin Kuipers notes that the small decisions that robots make on their own can cause trouble because human programmers may fail to take all of a robot's possible choices into account. [Full Story]

Related Topics:  Artificial Intelligence  Kuipers, Benjamin  Lab-Artificial Intelligence  Robotics and Autonomous Systems  

Poker Is the Latest Game to Fold Against Artificial Intelligence

Prof. Michael Wellman is quoted in this article on new AI systems that are able to best top-level human opponents in games of poker. "What's really new for such a complex game is being able to effectively compute the action to take in each situation as it is encountered, rather than having to work through a simplified form of the entire tree of game possibilities offline," says Prof. Wellman. Prof. Wellman is also quoted on the same subject in this article in Wired. [Full Story]

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

CSE Alumnus Peter Wurman Named VP of Engineering at Cogitai

Cogitai, the artificial intelligence start-up focused on next generation machine learning technologies, has announced that Peter Wurman (MSE ME 88, MS CSE 96, PhD CSE 99) has joined the company as Vice President of Engineering. Wurman is also a member of the CSE National Advisory Board. Cogitai was cofounded by Prof. Satinder Singh Baveja. [Full Story]

Related Topics:  Alumni  Artificial Intelligence  Lab-Artificial Intelligence  

U-M researchers create helpful tool for Flint residents during ongoing water crisis

This video and text news item describes MyWater-Flint, the app and website designed by UM researchers to help Flint residents with data about the ongoing water crisis. [Full Story]

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

Google-funded Flint Water App Helps Residents Find Lead Risk, Resources

Faculty and students at Michigan's Ann Arbor and Flint campuses have released an app that provides Flint residents with data about the ongoing water crisis. The app was developed with support from Google.org. [Full Story]

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

How You Speak To Siri & Alexa Matters More Than You Think Here's Why

Prof. Rada Mihalcea is quoted in this story about sexism and today's virtual assistants such as Amazon's Alexa, Apple's Siri and Microsoft's Cortana. [Full Story]

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

Video Friday: Robot Patrol, Tickling Machine, and More From IROS 2016

This IEEE Spectrum collection of research project videos from the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) includes a piece on robot navigation in dynamic social environments from Prof. Edwin Olson's APRIL Lab. To see the Michigan video, scroll to the bottom of the page. [Full Story]

Related Topics:  Graduate Students  Lab-Artificial Intelligence  Olson, Edwin  Robotics and Autonomous Systems  

Michael Wellman Selected to Serve on Financial Research Advisory Committee

Prof. Michael P. Wellman as been selected to serve on the Financial Research Advisory Committee (FRAC) for the US Department of Treasury's Office of Financial Research. As the only academic computer scientist on the FRAC, Professor Wellman brings expertise on algorithmic trading and other computational techniques that are transforming financial markets and the financial system. [Full Story]

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

Jia Deng Selected as Recipient of PAMI Mark Everingham Prize

Prof. Jia Deng has won the PAMI Everingham Prize for his work in developing ImageNet, a large-scale labeled image database that has powered many recent advances in computer vision. The award is presented at the ECCV Conference to a researcher, or a team of researchers, who have made a selfless contribution of significant benefit to other members of the computer vision community. [Full Story]

Related Topics:  Computer Vision  Deng, Jia  Lab-Artificial Intelligence  

Teslas big bet: $8,000 worth of self-driving hardware in all new cars before the software is ready

In this article, Prof. Edwin Olson is quoted discussing the reliability of autonomous vehicles. Tesla recently announced that all new cars will be equipped with the hardware needed for full self-driving capability. Olson believes theres still a long way to go until self-driving cars become widespread. [Full Story]

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

Lingjia Tang Selected to Receive Facebook Faculty Award

Prof. Lingjia Tang has been selected to receive a Facebook Faculty Award for her work in computer architecture. She recently helped develop a modular load tester platform for data centers, which is designed to help measure and mitigate tail latency. The platform, called Treadmill, is widely used in Facebooks production services. It is also open-sourced and available to the general public and industry practitioners. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Tang, Lingjia  

Clinc Launches Finie, an AI Personal Assistant for Mobile Banking

Clinc, the research lab founded by CSE Profs. Jason Mars and Lingjia Tang, has recently launched a new application called Finie, the financial genie. Finie, which can be referred to as the Siri of personal banking, is an artificial intelligence platform for banks that helps customers talk to their bank accounts in a natural and conversational way to get real-time and instant financial insights. [Full Story]

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

Looking for a Choice of Voices in A.I. Technology

This article in the New York Times examines conversational computing in connection with gender and race. Prof. Jason Mars is featured in the article and he highlights the challenges associated with choosing voices for AI technology. [Full Story]

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

Far more Flint homes have lead lines than expected, report shows

A new report issued by U-M researchers, including Prof. Jacob Abernethy, concludes that Flint city records are highly inaccurate and that more public service water lines than expected contain lead. Prof. Abernethy, together with his students and other researchers, is using multiple data sources to develop predictive software that will identify locations in Flint that are most at risk for lead contamination. [Full Story]

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

Flint might have a bigger problem with lead pipes than previously thought

Prof. Jacob Abernethy and his research collaborators have concluded that Flint city records are highly inaccurate and that more public service water lines than expected that contain lead. Prof. Abernethy, together with his students and other researchers, is using multiple data sources to develop predictive software that will identify locations in Flint that are most at risk for lead contamination. [Full Story]

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

Progress in AI, through collaborative research

Guru Banavar, Chief Science Officer and VP for Cognitive Computing at IBM Research, has blogged about IBM's university partnerships to advance cognitive computing, including work at CSE led by Prof. Satinder Singh Baveja to develop the next generation of conversational interface technologies. [Full Story]

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

A hot new app is hoping to change the way you manage your money

This article reports on Clinc, the intelligent personal assistant startup headed by Profs. Jason Mars and Lingjia Tang. At the Finovate conference, Clinc introduced Finie, the planet's most intelligent personal financial assistant that helps everyone talk to their bank accounts in a natural and conversational way to get real-time and instant financial insights. [Full Story]

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

Chad Jenkins Receives NSF National Robotics Initiative Grant to Improve Robotic Control in Cluttered Environments

Prof. Chad Jenkins has been awarded an NSF National Robotics Initiative grant of $400,000 for his project, Sketching Geometry and Physics Informed Inference for Mobile Robot Manipulation in Cluttered Scenes." Under the grant, Prof. Jenkins will improve the ability of robots to manipulate and interact with objects, such as when assisting people to support their daily activities. [Full Story]

Related Topics:  Jenkins, Chad  Lab-Artificial Intelligence  

How big data and algorithms are slashing the cost of fixing Flints water crisis

Michigan researchers, including the Michigan Data Science student team, are using new algorithmic and statistical tools to help inform crisis response in Flint. Profs. Jacob Abernethy and Eric Schwartz of the Business School explain how in this article at the Conversation. [Full Story]

Related Topics:  Abernethy, Jake  Artificial Intelligence  Big Data  Lab-Artificial Intelligence  Student Teams and Organizations  

Hacking Healthcare - How Big Data is Driving Big Changes in Medicine

The article by CoE writer Gabe Cherry highlights the work being done by Jenna Wiens and her collaborators on using big data to predict which hospital patients are at risk of developing a life-threatening intestinal infection called Clostridium difficile, or C. diff. It also provides context on the big data initiatives taking at UM in general and with respect to healthcare, and across EECS, including work by Prof. Barzan Mozafari on how to improve the design of big data databases. [Full Story]

Related Topics:  Baveja, Satinder Singh  Big Data  Hero, Alfred  Lab-Artificial Intelligence  Machine Learning  Michielssen, Eric  Mower Provost, Emily  Mozafari, Barzan  Wiens, Jenna  

Toyota Research Institute Partners with U-M on Artificial Intelligence

Research focused on artificial intelligence, robotics and autonomous driving at the University of Michigan will get a major boost thanks to an initial $22 million commitment from the Toyota Research Institute, TRI CEO Gill Pratt announced recently in an address to U-M faculty. [Full Story]

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

Prof. Dragomir Radev Honored as ACM Fellow at Annual Awards Banquet

Prof. Dragomir Radev was honored as an ACM Fellow at the annual ACM Awards Banquet, which took place June 11th in San Francisco, CA. The ACM Awards honors those whose contributions have impacted our world for the better in countless ways. ACM has recognized 42 of its members for their significant contributions to the development and application of computing in areas from data management and spoken-language processing to robotics and cryptography. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Radev, Dragomir