Using machine learning to decode the unpredictable world of human emotion might seem unusual. But computer science and engineering associate professor Emily Mower Provost has discovered a rich trove of data waiting to be analyzed in the ambiguity of human expression. Mower Provost uses machine learning to help measure emotion, mood, and other aspects of human behavior; for… Read More »
IT leaders from U-M and peer academic research universities from the Midwest spent a day of learning and networking at the Michigan League. The Office of the Vice President for IT and Chief Information Officer partnered with Gartner, Inc. to host the Great Lakes IT Leadership Forum on Thursday, September 20, 2018. Ravi Pendse, vice president for IT… Read More »
Last December, I was turned on to the importance of bots while attending the Mayo Clinic Social Media Network (MCSMN) Annual Meeting in Arizona. Since then, I’ve been digging into the topic, trying to learn more, and hoping to get a bot implemented on our departmental website, but there is just so much to talk about! We decided… Read More »
Walter Lasecki, assistant professor in the College of Engineering and in the School of Information, has co-authored a paper introducing the “look-ahead approach,” a hybrid intelligence workflow that enables instantaneous crowdsourcing systems that can return crowd responses within milliseconds. According to the published paper, “Bolt: Instantaneous Crowdsourcing via Just-in-Time Training:” …real-time crowdsourcing has made it possible to solve… Read More »
A Kenya-based company, Kimetrica, has developed a new AI program called Methods for Extremely Rapid Observation of Nutritional status (MERON), that might have the ability to identify malnutrition from a photo, which makes it easier to assess nutrition problems in volatile regions. Andrew Jones, a public health nutritionist at U-M, says he can see the role for technologies… Read More »
Over the last few years, artificial intelligence has helped push the envelope in terms of technological advancements in the financial industry. For example, consumers can use facial recognition to log in to financial apps and use voice commands to check their balances. In an article on Forbes.com, Jason Mars, a computer science professor at U-M and the CEO of Clinc,… Read More »
As more robots are showing up in all kinds of jobs, organizations must figure out how to successfully integrate human and robot co-workers. But how? According to a recent study co-authored by School of Information associate professor Lionel Robert, it’s by making robots more like people. The study, “Human-Robot Similarity and Willingness to Work with a Robotic Co-worker,” found that… Read More »
Aviv Ovadya, chief technologist at the School of Information’s Center for Social Media Responsibility, cautions that technology and social media that can be used to enhance and distort what is real is evolving faster than our ability to understand and control or mitigate it. “I’m from the free and open source culture,” he says. “The goal isn’t to… Read More »
Jenna Wiens, a computer scientist and assistant professor of engineering at U-M, helped create an algorithm to predict a patient’s risk of developing a C-diff infection (CDI), one of the deadliest killers in American hospitals. The algorithm uses a form of artificial intelligence called machine learning to extract warning signs of disease from patients’ vital signs and other health records—constellations of symptoms, circumstances,… Read More »
Chaun-Che “Jeff” Huang, a School of Information PhD student, was part of the team that developed the artificial intelligence for Jibo, the first social robot for the home. It made the cover of Time Magazine’s “25 Best Inventions of 2017” November issue. Huang, who is studying human-computer interaction, describes Jibo as “highly personalized,” and programmed to be engaging.… Read More »
A new type of neural network made with memristors can dramatically improve the efficiency of teaching machines to think like humans. The network, called a reservoir computing system, could predict words before they are said during conversation, and help predict future outcomes based on the present. The research team that created the reservoir computing system, led by Wei… Read More »
Research using machine learning and artificial intelligence—tools that allow computers to learn about and predict outcomes from massive datasets—has been booming at U-M. The potential societal benefits being explored on campus are numerous, from on-demand transportation systems to self-driving vehicles to individualized medical treatments to improved battery capabilities. The ability of computers and machines generally to learn from… Read More »
Researchers, hospitals, companies, consumers, and government agencies are drowning in data that they can’t fully capitalize on. Now, a team from U-M has received $1.6 million from the Defense Advanced Research Projects Agency to help develop a toolkit so that even non-data scientists can use that data to possibly answer questions and ultimately speed up the process of… Read More »
The rise of artificial intelligence threatens to eliminate white-collar and “creative class” jobs once considered impossible to automate, including real estate brokers, insurance claims adjusters, lawyers, and business managers. In a recent article, Kentaro Toyama, associate professor of technology and global development at the School of Information, examines if anything good could come of mass unemployment, or whether it… Read More »
Experts at the crossroads of pediatrics, psychology, and AI say there’s a lot we don’t know about how virtual assistants might affect young, developing minds. Jenny Radesky, a U-M pediatrician who studies how digital media shapes children, says research around how kids understand digital assistants is limited, and studies that do exist on children and robots suggest children see… Read More »
U-M computer science professor Igor Markov believes an attack by artificial intelligence on humans would sort of be like when the Black Plague hit Europe in the 14th century, killing up to 50 percent of a populatioin that had no idea what was happening or why. “This would be illustrative of what you might expect if a superintelligent AI would… Read More »
By now, we’re all familiar with the storyline in which a person replaces relationships with a digital device. A recent study co-authored by Carolyn Yoon, professor of marketing at U-M, sought to see exactly how much a humanlike digital device might replace humans. Yoon and her colleagues hoped to find out how devices that replicate human characteristics — such… Read More »
When it comes to coming up with dystopian visions of the future, researchers in artificial intelligence can match even the best science fiction writers. Just ask U-M computer science professor Michael Wellman, who dreamed up a stock-market manipulation scenario for a recent AI doomsday workshop which took place at Arizona State University with funding from Tesla Inc. co-founder Elon Musk… Read More »
Most of the advances in artificial intelligence have been focused on solving specific data-intensive tasks like playing chess or diagnosing tumors. However, the kind of general artificial intelligence that would create systems with human capabilities like understanding language and adapting to changing conditions are still a long way off. John Laird, professor of electrical engineering and computer science, says the strategies that… Read More »
A study by researchers from the U-M Medical School and Harvard University indicates the use of advanced machine learning for diagnosing brain tumors cuts the time needed for diagnosing tissue by 90 percent while maintaining considerable accuracy. Normally, diagnosing a brain tumor takes about 30 to 40 minutes, during which doctors would need to leave the operating room to put the… Read More »