Category: Artificial Intelligence
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Xiaoming Zhai, University of Georgia – Can AI Think Like a Teacher?
Want to grade your students faster? You can use ChatGPT – but there may be downsides. Xiaoming Zhai, associate professor of science education and artificial intelligence at the University of Georgia, discusses the potential risks. Xiaoming Zhai, Associate Professor in Science Education, Artificial Intelligence, Computer Science (courtesy), and Statistics (courtesy), serves the Directors of the…
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Venu Govindaraju, University at Buffalo – Training AI to Spot Dyslexia
If we can catch early signs of dyslexia and dysgraphia, we can get children the care they need. Venu Govindaraju, SUNY distinguished professor in the department of computer science and engineering at the University at Buffalo, looks at how to do so. Venu Govindaraju is vice president for research and economic development at the University…
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Francesco Ferretti, Virginia Tech – Taking the Pulse of Global Shark Populations
Keeping tabs on sharks could help conservation, and AI may be able to help. Francesco Ferretti, assistant professor of fisheries management and conservation at Virginia Tech, dives in. Dr. Francesco Ferretti is a quantitative computational ecologist specialized in research synthesis. He combines ecology, statistical modeling, and data science to approach questions on animal abundance, species…
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Cristina Savin, New York University – Taking AI to Kindergarten
On New York University: Do we need to take AI to kindergarten? Cristina Savin, associate professor in neural science and data science, says AI needs to start learning more like humans. CS is an Assoc. Professor in Neural Science and Data Science at NYU and the Director for Graduate Studies (PhD) in the Center for…
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Marcelo Mattar, New York University – AI and Decision Making
On New York University Week: We’re always making decisions in life, so how can we improve our decision-making? Marcelo Mattar, assistant professor of psychology and neural science, uses tiny AI models to find out. Dr Marcelo Mattar is an Assistant Professor of Psychology and Neural Science at New York University. He holds a PhD in…
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Meredith Broussard, New York University – Bias in AI
On New York University Week: Eliminating bias in AI will require work. Meredith Broussard, professor at the Arthur L. Carter Journalism Institute, examines strategies to do so. Data journalist Meredith Broussard is a professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology,…
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Tina Ho, University of South Florida – Using AI to Detect Silent Pain in Newborns
How can we tell when a newborn is in pain? Tina Ho, associate professor of pediatrics at the University of South Florida, helps determine this. Tina Ho joined USF in 2016 as a neonatologist in the Morsani College of Medicine Pediatrics Department, Neonatology Division and the Jennifer Leigh Muma NICU at Muma Children’s Hospital at…
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Mosharaf Chowdhury, University of Michigan – Smarter AI Training to Slash Energy Waste
AI takes a lot of energy, so how do we lighten the load? Mosharaf Chowdhury, associate professor of computer science at the University of Michigan, gets computer chips working together toward a solution. Dr. Mosharaf Chowdhury is a computer scientist interested in all facets of efficient systems: from software runtimes to the hardware resources they…
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Noor Youssef, Harvard Medical School – Outpacing the Virus How AI Can Future-Proof Vaccines
Staying ahead of viruses can be challenging. Can AI help? Noor Youssef, Scientific lead of the Predictive Modeling for Vaccine Design group at Harvard Medical School, details why the answer may be yes. Dr. Noor Youssef is a mathematician turned biologist driven by a passion for using mathematics and computer science to tackle pressing challenges…
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Jiebo Luo, University of Rochester – Text-to-Video AI Blossoms With New Metamorphic Video Capabilities
Text-to-video AI is here, but it’s far from perfect. Jiebo Luo, Albert Arendt Hopeman professor of Engineering and professor of computer science at the University of Rochester, identifies a solution to one challenge. Jiebo Luo is the Albert Arendt Hopeman Professor of Engineering and Professor of Computer Science at the University of Rochester. He is a Fellow of…