The program is hoping to address a major need for qualified AI systems developers. Artificial intelligence is so rapidly transforming a huge array of industries that companies are facing challenges filling positions requiring advanced knowledge of AI systems. One of the reasons for the shortage of workers may simply be a shortage of AI graduate programs. While many… Read More »
The National Science Foundation, in partnership with Amazon, has awarded U-M a Fairness in Artificial Intelligence (AI) grant for research on identifying and mitigating bias in AI and Machine Learning systems to achieve long-lasting equitable outcomes. “There is an increasing awareness in the AI research community of the issue of bias,” says Mingyan Liu, professor of electrical and… Read More »
As artificial intelligence applications grow and multiply, researchers have been racing to design a new generation of hardware that meets the unique computational needs of those applications. The market for these “AI chips” is booming, and a key player in this new space is Palo Alto based SambaNova Systems. SambaNova, now a unicorn valued at over $2.5 billion,… Read More »
When it comes to making human resources decisions, can humans be fair? What about relying on algorithms to make decisions instead? The answer to the first question is not always, which leads some business leaders to pursue the second. Yet, it turns out decisions made by machines are perceived as even less fair than those made by humans.… Read More »
U-M Dearborn founded the Dearborn Artificial Intelligence Research Center less than a year ago with a strategy of “think big, start small, and scale fast.” Organizers have already made impressive progress toward making AI one of Dearborn’s topline areas for research, education, and industry collaboration. Over the past year, several DAIR Center projects have won funding and the… Read More »
A field of study called human pose estimation focuses on teaching AI to identify how a person in an image or video is positioned. However, current models typically use videos with an entire person fully in view. Of the huge libraries of video content uploaded to public websites, only around 4% ever show an entire person. New research… Read More »
Google.org announced that a team of School of Information (UMSI) researchers has been selected to receive funding as part of the company’s efforts to support projects using innovative artificial intelligence (AI) and data analytics to help understand COVID-19 and address its impacts. Faculty members Tiffany Veinot, Vinod Vydiswaran, Lorraine Buis, and Anna Laurie will receive $200,000 in funds to… Read More »
Researchers fear that the same issues with supply chains that caused toilet paper shortages at the beginning of the pandemic in the United States may result in the same problem with the fine chemicals needed to synthesize COVID-19 therapeutics and vaccines. Now, a U-M team of medicinal chemists have used artificial intelligence to find alternative pharmaceutical building blocks… Read More »
The coronavirus pandemic has changed the world around us and is affecting our health, our economy, our social interactions, and so much more. Faculty and students affiliated with the AI Lab in Computer Science and Engineering have partnered with clinicians and experts from other disciplines to bring their expertise to assist with the outbreak and to help find… Read More »
With advanced computer vision models and live public street cam video, a U-M startup is tracking social distancing behaviors in real time at some of the most visited places in the world. Voxel51’s new tool uses the company’s existing platform and underlying custom AI to continuously track vehicle, cyclist, and pedestrian traffic at seven locations around the world, and… Read More »
Artificial intelligence has the potential to improve efficiencies and precision in sleep medicine, resulting in more patient-centered care and better outcomes, according to a new position statement from the American Academy of Sleep Medicine. Because of the vast amounts of data collected by sleep centers, AI and machine learning could advance sleep care, resulting in more accurate diagnoses,… Read More »
With the rapid rise in drug resistance in many pathogens, new antibiotics are desperately needed. Yet few new antibiotics have entered the market of late, and even these are just minor variants of old antibiotics. While the prospects look bleak, a recent article by Sriram Chandrasekaran, assistant professor of biomedical engineering, explores how researchers hunting for new drugs… Read More »
The faculty at U-M’s computer science and engineering department wrote a letter calling for professor Jason Mars to take a leave of absence, following an investigation from The Verge into his behavior as CEO of Clinc, an AI startup with ties to the school. Michigan’s School of Information also said it was suspending its recruiting relationship with Clinc due to Mars’… Read More »
The Alexa Socialbot Grand Challenge 3 is a university competition to further the capabilities of artificial intelligence (AI) by building a conversational Alexa skill. Out of hundreds of entries from 15 countries, 10 teams were selected, including one from U-M. Teams are tasked with creating a socialbot, a robotic automated program that can have conversations about popular societal… Read More »
Society’s ever-increasing use of artificial intelligence and other emerging computing technologies has led many in the field to talk about the need for ethics, standards, and policies to help guide their use. Among the concerns over the increasing use of AI and data-based algorithms are gender and racial stereotyping, and an overall lack of accountability and digital justice.… Read More »
Artificial intelligence that can hold a “real” conversation has long been one of the sci-fi standards of future technology. Enter the Amazon Alexa Prize Socialbot Grand Challenge. Among the ten schools from around the world selected to compete is a team from U-M co-advised by assistant professor David Jurgens from the School of Information and assistant professor Nikola Banovic in… Read More »
UM-Dearborn’s professor Birhanu Eshete, computer science, is developing new technology to keep up with malicious parties on the dark web. Eshete is in a continuous race against cyberattackers who wield weapons that are ever-evolving.
The trouble with algorithms, John Cheney-Lippold says, is that while they can pick up online engagements and patterns, algorithms are not able to determine things like emotions.
UM-Dearborn Assistant Professor of Computer and Information Science Mohamed Abouelenien is exploring whether machine learning can help create a customized, responsive climate control system that would automatically detect a person’s level of “thermal comfort” and then make continuous adjustments to their environment. Abouelenien and his collaborator, UM-Flint Associate Professor of Mechanical Engineering Mihai Burzo, used a thermal camera… Read More »
The Joint Artificial Intelligence Center (JAIC) partnered with the National Security Innovation Network (NISN) Sept. 20-23 to host a hackathon at the U-M School of Aeronautical Engineering aimed at using AI tools to evaluate maintenance data for military aircraft. The event brought together more than 50 hackers from academic institutions and commercial industry across the greater Detroit metro… Read More »