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Jordan Boyd-Graber uses a fast-paced trivia competition to study how people decide when to trust AI and when to rely on their own judgment.
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Computer science Ph.D. student Simge Tekin led the study, which analyzed more than 750,000 container images and found gaps that can leave cloud systems exposed.
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Led by Soheil Feizi, researchers developed a method that can remove specific information from AI models without diminishing their broader abilities.
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The five-year project will develop new telemetry methods to help operators monitor large-scale AI and cloud systems more efficiently.
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Agrawala’s career spans the department’s early years, decades of work in systems, networking and mobile computing, and the program’s growth into a top-ranked computer science program.
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He discusses his path into computing, his work in computational genomics and advice for students interested in computational biology.
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The awards recognize undergraduate double majors in computer science and mathematics and doctoral research in human-computer interaction.

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