Are we our data? AI and our digital selves
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.
Tag Archives: AI
Could this new technology finally end the battle over the thermostat?
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
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
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 »
U-M startup launches video processing platform
A U-M startup, Voxel51, is expanding access to video data through a new software platform. The platform, released in June, offers companies an affordable way to extract information from the medium.
‘Dissonance’ event explores AI, draws crowd
The latest event in the Dissonance series, held April 17, brought in over 100 people to hear a panel of experts discuss the social implications of artificial intelligence.
Dissonance: Understanding the Social Implications of AI, April 17
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
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
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?
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 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.
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 »
Machine learning: The next wave of artificial intelligence is making critical decisions in health care
Michigan Medicine CIO Andrew Rosenberg was recently interviewed by Hour Detroit about machine learning, the branch of artificial intelligence capable of identifying who is likely to be a no-show for their next clinic appointment or who is at risk for fatal medical conditions. “The best summary is that wherever a human makes an important decision, machine learning is being… Read More »
Symposium celebrates 30 years of Artificial Intelligence at Michigan
The Michigan AI Lab celebrated 30 years of leading research with its first AI Symposium, AI for Society, which took place on November 10. The event welcomed 250 participants from U-M and around the country for a day of presentations, panel discussions, and poster sessions. Presenters gave a broad picture of AI’s applications in the modern world, from finance to health,… Read More »
Can an AI lie detector tell when you’re fibbing?
Artificial intelligence is everywhere—but here’s a use you may not have considered: lie detection. It sounds like science fiction, but such an AI system is possible. The question is: How accurate can it be? Rada Mihalcea, a professor of computer science and engineering at U-M, has worked on deception detection for about a decade. Mihalcea’s used 121 video… Read More »
The logic of feeling: Teaching computers to identify emotions
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 gather for day of learning, networking at U-M
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 »
Bots, Part One: Of bots, and bleeps, and other things
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 »
Crowdsourcing in milliseconds
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 »