Tag Archives: AI

Crowdsourcing in milliseconds

By | June 22, 2018
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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 »

How AI will affect the financial industry in 2018

By | March 5, 2018
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woman looking at cell phone screen with financial info

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 »

Robots with personality seem more trustworthy

By | February 16, 2018
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Human-like robot waves to a couple of shoppers

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 »

The coming death of facts?

By | February 16, 2018
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dozens of masks on sticks

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 »

To fight fatal infections, hospitals may turn to algorithms

By | February 14, 2018
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composite image of medical and information technology icons and devices

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 »

Say hello to Jibo, the countertop robot

By | January 22, 2018
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Jeff Huang with Jibo robot

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 »

Memristors power quick-learning neural network

By | December 26, 2017
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computer chip

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 »

U-M research in AI & machine learning is booming

By | December 15, 2017
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profile of human head made up of computer cirucuits

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 »

U-M receives $1.6M toward AI for data science

By | November 10, 2017
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close-up of tablet with charts and graphs

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 »

Will the AI jobs revolution bring about human revolt, too?

By | November 7, 2017
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group of multi-ethnic mixed occupations people

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 »

Can Alexa turn your kid into a brat?

By | June 14, 2017
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crying angry boy

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 »

Good boy! Domesticating AI to protect humans

By | June 8, 2017
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golden retriever

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 »

Can Siri replace your friends?

By | March 23, 2017
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CU photo of wooden table with people's hands, mobile devices, coffee, water glass, and purse.

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 »

AI: What could possibly go wrong?

By | March 4, 2017
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Artificial intelligence concept with man and laptop

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 »

Building a better brain

By | February 25, 2017
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Blue & black screen image of human brain.

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 »

AI improves tumor diagnosis

By | February 24, 2017
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MRI of human brain.

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 »

Clinc raises venture capital

By | February 24, 2017
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Photo of Prof. Mars wearing jean jacket standing next to server rack.

Ann Arbor-based Clinc Inc., an artificial-intelligence startup co-founded by U-M research professors Jason Mars and Lingjia Tang announced earlier this week that it has raised a funding round of $6.3 million. That follows a seed-stage round six months ago of $1.2 million for the company, which was founded in 2015. The investment followed a well-received appearance by Clinc at the Consumers Electronic… Read More »

The nose knows

By | February 22, 2017
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Cartoon illustration of woman smelling flowers.

Predicting color perception is easy: specific wavelengths produce specific colors that most people see in a consistent way. But predicting how a particular molecule will smell is much tougher. So a group of researchers set up a contest and invited teams of computer scientists to come up with a set of algorithms able to predict the odor of different molecules based on their… Read More »

Preventing the AI-pocalypse

By | February 8, 2017
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illustration of half-human half-robot head

A panel on AI ethics and education in San Francisco hosted by the Future of Life Institute warned about unforeseen consequences if researchers ignore the inherent ethical dilemmas in the emerging technology. Benjamin Kuipers, a computer science professor and AI researcher at U-M, explained that although humans program AI-powered robots to accomplish a particular goal, these robots will typically… Read More »

Its master’s voice

By | February 3, 2017
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screenshot of Google Now voice search.

Does your digital assistant know who it’s talking to? A wearable device prototype could let voice-controlled assistants like Apple’s Siri or Amazon’s Alexa recognize their owner so they don’t take orders from anyone else. The VAuth device, developed by U-M computer scientists Huan Feng and Kassem Fawaz, uses an accelerometer hidden in a pair of glasses or earphones… Read More »