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Backed by a $20 million award from NSF and NIST, the new Institute for Trustworthy AI in Law & Society (TRAILS) receives technical and administrative support from UMIACS. In a Q&A with Terp magazine, Director Hal Daumé III discusses what it means to trust AI systems.
Supported by NSF, the multi-institutional team is using machine learning to improve the quality of math lesson plans in the middle grades.
Kwon studies how hackers have previously succeeded in order to build practical and secure systems that can withstand future attacks.
Doctoral candidates advised by Abhinav Shrivastava came up with an innovative project to satisfy their appetite for advancing computer vision.
Powered by AI, their app is a cutting-edge conversational marketing solution for brands struggling to keep up with their followers on social media.
Part of a larger grant awarded to her alma mater George Tech, the funding supports Asgari's work to improve communication overheads in high-performance computing applications.
Inexpensive yet efficient, the drone system can quickly detect radio frequencies from smartphones and relay that information back to emergency responders.
A whitepaper co-authored by Zohreh Davoudi that makes the case for funding quantum simulation research in particle physics was published in the journal PRX Quantum.
In addition to demonstrating how attackers might remove watermarks, the study shows how it’s possible to add watermarks to human-generated images, triggering false positives. 
Huaishu Peng is developing new technology that can help people who are sight-impaired with tasks like ordering a bubble tea.
Philip Resnik and recent Ph.D. graduate Pranav Goel are collaborating with UMD faculty to track connections between 23 years of congressional speeches and political donations.
Working with an interdisciplinary team of UMD researchers, Jordan Boyd-Graber is developing an AI-powered chatbot that can answer questions on infant and maternal health in English and Spanish.


The process of scientific discovery is, in effect, a continual flight from wonder. —Albert Einstein

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