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The University of Maryland will receive $1.14 million from the Maryland E-Nnovation Initiative (MEI) to fully match a private donation establishing the Brendan Iribe Endowed Professorship in Computer Science and the Brendan Iribe Endowed Professorship in Electrical and Computer Engineering. These new endowed professorships, made possible by the generosity of alum Brendan Iribe (ee-REEB’), will be held by experts in robotics, autonomy, artificial intelligence (AI) and machine learning.

Helping out a co-worker—hard to find fault with that, right? In fact, depending on the source and kind of help being offered, it might be perceived more like a threat than a relief, according to new University of Maryland research.

Topic modeling—a machine learning technique originally developed as a text mining tool for computer scientists—is now widely used by historians, journalists and analysts to make sense of large collections of text. These probabilistic models produce various lists of related words, and each list corresponds to a subject in the collection. But despite their popularity, there are flaws in the way that topic models are evaluated for their accuracy, which ultimately affects how useful they are to the people that rely on them.