Tag Archives: AI

AI could enhance diagnosis and treatment of sleep disorders

By | March 6, 2020

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 »

Deep learning AI discovers surprising new antibiotics

By | February 25, 2020

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 »

CoE, SI react to allegations of misconduct by computer science professor Jason Mars

By | February 17, 2020

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 »

U-M team reaches quarterfinal in AI competition

By | February 17, 2020

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 »

New U-M research center to focus on ethical, equitable practices in computing technology

By | January 21, 2020

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 »

U-M team competes in Amazon challenge to make AI more engaging

By | December 4, 2019

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 »

Could this new technology finally end the battle over the thermostat?

By | October 24, 2019

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 »

DOD brings AI hackathon to U-M

By | September 26, 2019

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 »

Michigan Medicine makes AI, machine learning a top tech priority

The academic medical center of the University of Michigan is leveraging investments in artificial intelligence, machine learning, and advanced analytics to unlock the value of its health data. According to Andrew Rosenberg, chief information officer for Michigan Medicine, the organization currently has 34 ongoing AI and machine learning projects, 28 of which have principal investigators. “There’s a lot… Read More »

First programmable memristor computer aims to bring AI processing down from the cloud

By | July 23, 2019

The first programmable memristor computer—not just a memristor array operated through an external computer—has been developed at U-M. It could lead to the processing of artificial intelligence directly on small, energy-constrained devices such as smartphones and sensors. A smartphone AI processor would mean that voice commands would no longer have to be sent to the cloud for interpretation,… Read More »

Dissonance: Understanding the Social Implications of AI, April 17

By | April 11, 2019

Through mobile phones, the Internet of Things, and web computing, every single day around the globe we create a quintillion bytes of data. Pairing that trove of data with enormous computational power, Artificial Intelligence (AI) is making strides into every aspect of everyday living, from emails and targeted advertising, to healthcare and education. But with great power comes… Read More »

Healthcare and Big Data

By | March 20, 2019

Jenna Wiens, an assistant professor of electrical engineering and computer science, leads the Machine Learning for Data-Driven Decisions research group. Her work focuses on developing the computational methods needed to help organize, process, and transform patient data into actionable knowledge. The Institute for Healthcare Policy & Innovation recently interviewed Wiens about her research and its practical implications for… Read More »

Two solutions for GPU efficiency can boost AI performance

By | March 8, 2019

Graphics Processing Units (GPUs) have been getting a big workout from new advancements in AI because they offer significant performance boosts thanks to their parallel computing capabilities. GPUs are employed by large computing clusters to handle huge datasets for deep learning applications. Achieving cost-effectiveness in these clusters relies on efficiently sharing resources between multiple users. However, these systems… Read More »

Beyond the hype, what are the risks and rewards of Artificial Intelligence in health care?

By | February 15, 2019

Artificial Intelligence has received tremendous attention for its ability to transform how health care uses Electronic Health Records. EHR are already an invaluable tool for organizing a patient’s demographic information and their past and current medical data. EHR can support physician decision-making, help increase the efficiency of administrative processes, and make clinical data available to researchers for advancing… Read More »

Teaching self-driving cars to predict pedestrian movement

By | February 14, 2019

By zeroing in on humans’ gait, body symmetry and foot placement, U-M researchers are teaching self-driving cars to recognize and predict pedestrian movements with greater precision than current technologies. Data collected by vehicles allow the researchers to capture video snippets of humans in motion and then recreate them in 3D computer simulation. With that, they’ve created a system… Read More »

Built by humans. Ruled by computers.

By | February 7, 2019

MiDAS, an algorithm-based administration and fraud collection system implemented by the state of Michigan, ran without human intervention between 2013 and 2015. During that time, it accused about 50,000 Michiganders of unemployment fraud. A 2017 review by the state found that more than 90 percent of those accusations were false. A growing number of people have been harmed… Read More »