News

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-Software 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-Software 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-Software 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-Software 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  Lab-Artificial Intelligence  Machine Learning  Medical diagnosis  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-Software 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  Technology Transfer  

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  Technology Transfer  

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  

Researchers Seek to Help the Disabled with Intelligent Robotic Wheelchair

Prof. Ben Kuipers, CSE graduate student Collin Johnson, and researcher Dr. Jong Jin Park have created Vulcan, an intelligent robotic wheelchair. Vulcan learns the spatial structure of the environment it moves through and it uses that knowledge to plan and follow routes from place to place. Robotic wheelchairs will benefit people who need a wheelchair, but are unable to use one because of multiple disabilities. [Full Story]

Related Topics:  Kuipers, Benjamin  Lab-Artificial Intelligence  

CSE-Based Startup Receives Funding to Develop Systems Based on Intelligent Personal Assistant Technology

Artificial Intelligence startup Clinc, founded by Profs. Jason Mars and Lingjia Tang along with Research Fellow Michael Laurenzano and CSE graduate student Johann Hauswald, is off and running in downtown Ann Arbor. On August 4, 2016, the company announced a $225,000 National Science Foundation Grant and closure of a $1.2 million round of seed funding. [Full Story]

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

Dragomir Radev Coaches US Linguists in Competition at 2016 International Linguistics Olympiad

Dragomir Radev, Professor in Computer Science and Engineering, the School of Information, and in the Department of Linguistics, has coached US high school students to successful competition at the 14th International Linguistics Olympiad (IOL), which was held at the Infosys campus in Mysore, India from from July 25 to July 29, 2016. It is the tenth year that Radev has coached the team. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Radev, Dragomir  

New Venture is on the Path to Build Continual Learning AIs

Cogitai, Inc., a continual learning company co-founded by Prof. Satinder Singh Baveja, is developing AI technology that empowers machines to learn from interaction with the real world, enabling everyday things that sense and act to get smarter, more skilled, and more knowledgeable with experience. The company has recently announced funding by Sony. [Full Story]

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

Reinforcement Renaissance

This article in Communications of the ACM reviews reinforcement learning and how it is complemented by deep learning in systems that aim to learn the way that humans do. Prof Satinder Singh Baveja is quoted in the article. [Full Story]

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

EECS Research Highlighted at 2016 Robotics: Science and Systems Conference

The University of Michigan was host to the 2016 Robotics: Science and Systems Conference, which took place June 18-22. The conference, which was co-chaired by Prof. Edwin Olson and Prof. Ryan Eustice, brought together researchers working on algorithmic or mathematical foundations of robotics, robotics applications, and analysis of robotic systems. The event gave attendees the opportunity to see the best research in all areas of robotics, as well as, attend invited talks, oral and interactive presentations of refereed papers, workshops, tutorials, and lab presentations. [Full Story]

Related Topics:  Grizzle, Jessy  Jenkins, Chad  Kuipers, Benjamin  Lab-Artificial Intelligence  Lab-Systems  Olson, Edwin  Revzen, Shai  Robotics and Autonomous Systems  

Tracking and Mitigating Tail Latency in Data Centers

Computer science researchers have developed a modular load tester platform for data centers which is designed to help measure and mitigate tail latency. Called Treadmill, it is described in their paper, "Treadmill: Attributing the Source of Tail Latency through Precise Load Testing and Statistical Inference." [Full Story]

Related Topics:  Alumni  Artificial Intelligence  Big Data  Computer Architecture  Graduate Students  Lab-Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Mars, Jason  Tang, Lingjia  

Can Slower Financial Traders Find a Haven in a World of High-Speed Algorithms?

In this article at The Conversation, Prof. Michael Wellman reviews the latency arms race at the center of high-speed algorithmic trading, in which the first trader to react is able to make money off of slower rivals. He describes the possibility for a frequent call market, in which speed no longer categorically prevails, and how it could be implemented. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Wenisch, Thomas  

Collecting Data to Better Identify Bipolar Disorder

Prof. Emily Mower Provost is collaborating with researchers at the University of Michigan Depression Center to develop new technologies that provide individuals and their caregivers with insight into how bipolar disorder changes over time. [Full Story]

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

Patented Camera Calibration Tool Automates Calibration Target Acquisition

Prof. Edwin Olson and two of his former students, Johannes Strom and Andrew Richardson, have recently been awarded a United States Patent for their work in the development of AprilCal, an interactive camera calibration tool that automates the challenging task of calibration image acquisition. [Full Story]

Related Topics:  Computer Vision  Lab-Artificial Intelligence  Olson, Edwin  

CSE Faculty Amongst Researchers in Three of Four Funded MIDAS Projects

The Michigan Institute for Data Science (MIDAS) has funded four projects for $1.25M each in the first round of its Challenge Initiatives program, which is designed to fund extraordinary projects with major social impact. Prof. Rada Mihalcea is leading one of the projects, which seeks to uncover connections between personal attributes and success or well-being; overall, a number of CSE faculty are amongst the investigators in three of the four projects. [Full Story]

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

Rada Mihalcea Leads Research Team to Develop Analytics for Learners as People

Prof. Rada Mihalcea has received funding from the Michigan Institute for Data Science (MIDAS) to uncover connections between personal attributes and success or well-being. The multidisciplinary research team includes Profs. Satinder Singh Baveja and Emily Mower Provost from CSE. [Full Story]

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

U-M professors know wonders, risks of self-driving cars

This article in the Free Press examines the work of Profs. Edwin Olson and Ryan Eustice as they take on their new roles heading up key research areas at Toyota's new Ann Arbor Toyota Research Institute location. Prof. Olson will lead Toyota's the perception thrust and Prof. Eustice will lead the mapping/localization effort. [Full Story]

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

U-M researchers work to determine when people are lying

This article reports on work being done by Prof. Rada Mihalcea and Prof. Mihai Burzo (UM Flint), who have built unique lie-detecting software based on real-world data. Their prototype considers both a 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  Language and Text Processing  Mihalcea, Rada  Women in Computing  

The AI Machines Undergoing Behavioral Psychology Tests

As reported in MIT Technology Review, graduate student researchers Junhyuk Oh and Valliappa Chockalingam, along with Profs. Satinder Singh Baveja and Honglak Lee have created mazes in Minecraft to perform reinforcement learning experiments on artificial intelligence entities. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Graduate Students  Lab-Artificial Intelligence  Lee, Honglak  Machine Learning  

Beyond Asimov: How to Plan for Ethical Robots

In The Converstation, Prof. Ben Kuipers discusses the moral and ethical guidelines we should give robots as they soon will be a part of our daily lives. He delves into past moral rules and the complex situation of guiding robot behavior in our society. [Full Story]

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

Rada Mihalcea Coauthors New Book on Text Mining

Professor Rada Mihalcea and her collaborator Gabe Ignatow, Associate Professor of Sociology at the University of North Texas, have authored a new book entitled "Text Mining: A Guidebook for the Social Sciences," which has been published by Sage Publishing. [Full Story]

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

Michael Wellman Appointed Associate Dean for Academic Affairs at the College of Engineering

Michael P. Wellman, the Lynn A. Conway Collegiate Professor of Computer Science and Engineering, has been selected to serve as Associate Dean for Academic Affairs at the College of Engineering, effective July 1, 2016. He succeeds Alec Gallimore, who will become the new Dean at the College of Engineering. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Wellman, Michael  

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:  Assistive Technology  Big Data  Lab-Artificial Intelligence  Lab-Interactive Systems  Lab-Software Systems  Language and Text Processing  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  Artificial Intelligence  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  

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  

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  

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:  Lab-Artificial Intelligence  Language and Text Processing  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  

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:  Lab-Artificial Intelligence  Language and Text Processing  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  

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