Category: Technology
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Shun Ye, George Mason University – AI Tools and Human Decision Making
AI may help us make decisions, but are they the right decisions? Shun Ye, associate professor of information systems and operations management at George Mason University, examines the outcomes. Shun Ye is an Associate professor of Information Systems and Operations Management at George Mason University’s Costello College of Business. With a Ph.D. in Management Information…
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Elahe Soltanaghai, University of Illinois Urbana Champaign – Sensing Beneath the Forest Canopy: A New Tool for Wildfire Prevention
We need new tools for wildfire prevention going forward. Elahe Soltanaghai, assistant professor of computer science and electrical and computer engineering at the University of Illinois Urbana-Champaign, aims to deliver one. Elahe Soltanaghai is an assistant professor of Computer Science at the University of Illinois Urbana-Champaign. Her research spans the areas of wireless networking and sensing with applications…
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Jovan Kamcev, University of Michigan – New Water Purification Technology
There’s plenty of water in the ocean, so how do we make it drinkable? Jovan Kamcev, assistant professor of chemical engineering at the University of Michigan, determines the best process for desalination. Jovan Kamcev develops technologies for affordable and sustainable water and energy, with a focus on membranes and sorbent materials for water treatment, energy…
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Leo Porter, University of California, San Diego – Computer Programming in the Generative AI Era
Artificial intelligence is changing who can be a computer programmer. Leo Porter, professor of computer science and engineering at the University of California San Diego, explores how. Leo Porter is a Professor of Computer Science and Engineering at UC San Diego interested in computer science education research and computer architecture. Leo co-founded the Computing Education…
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Peter Serles, California Institute of Technology – Machine Learning Could Make Superefficient Planes
3D printing may hold the key to making airplanes superefficient. Peter Serles, Schmidt Science Fellow at the California Institute of Technology, looks to let this research take off. Dr. Peter Serles received his PhD from the University of Toronto working with Prof. Tobin Filleter where he was a Vanier Scholar and was awarded the Canadian…
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Patrick van Esch, Coastal Carolina University – Digital Immortality: A Life That Never Ends
Immortality has been a quest of humanity for a long time; are we getting closer? Patrick van Esch, associate professor of marketing at Coastal Carolina University, determines one way we might be cracking the code. Dr. Patrick van Esch is an accomplished academic, researcher, and thought leader specializing in digital marketing, consumer behavior, and the…
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John Beverley, University at Buffalo – Solitude, transcendence, and healthy aging through the lens of artificial intelligence
Can artificial intelligence help us as we age? John Beverley, Co-Director of the National Center for Ontological Research and assistant professor at the University at Buffalo, examines. Dr. Beverley’s work is at the intersection of ontology engineering, formal logic, and ethics. Alongside his affiliations, Dr. Beverley is the co-lead developer for the Basic Formal Ontology…
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Samantha Keppler, University of Michigan – Teacher Experiences with New AI
Much of a teacher’s work happens after class ends. Samantha Keppler, NBD Bancorp assistant professor of technology and operations at the University of Michigan, examines if AI can help. Samantha Keppler is the NBD Bancorp Assistant Professor of Technology and Operations at the University of Michigan Stephen M. Ross School of Business. Her expertise is in education operations,…
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Chris Kanan, University of Rochester – Can we teach AI to learn like humans?
On University of Rochester Week: Human intelligence and artificial intelligence learn differently, but can that change? Chris Kanan, associate professor of computer science at the Hajim School of Engineering and Computer Science, looks at the possibilities. Christopher Kanan’s main research focus is deep learning, with an emphasis on lifelong (continual) machine learning, bias-robust artificial intelligence,…