Leo Zhicheng Liu, an assistant professor in the Department of Computer Science at the University of Maryland, has been honored with a National Science Foundation (NSF) Faculty Early Career Development (CAREER) Award.

In recent years, artificial intelligence (AI) has made tremendous strides thanks to advances in machine learning and growing pools of data to learn from. Large language models (LLMs) and their derivatives, such as OpenAI’s ChatGPT and Google’s BERT, can now generate material that is increasingly similar to content created by humans. As a result, LLMs have become popular tools for creating high-quality, relevant and coherent text for a range of purposes, from composing social media posts to drafting academic papers.

The Army Research Lab has tapped the University of Maryland for an ambitious effort to integrate data science and engineering on a sweeping array of projects, ranging from a “smart nose” to sniff out hazardous materials to lightning-quick “fingerprinting” of cell phones and other radio-emitting devices. ARL, part of the U.S. Army Combat Capabilities Development Command, recently awarded the A. James Clark School of Engineering a five-year, $78.2 million cooperative agreement to spearhead the Data Driven Engineering Research (DataDrivER) program.

Dr. Katie Shilton, Associate Professor at the University of Maryland’s College of Information Studies (iSchool), and Dr. Emanuel Moss, Postdoctoral Associate at Cornell University, led a discussion on the problems with trustworthiness in social data science during a talk hosted by UMD’s Social Data Science Center (SoDa) on Feb. 8. Moderated by iSchool Professor and Senior Associate Dean, Dr.

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.

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.

The Center for Health Information and Decision Systems (CHIDS) at the University of Maryland’s Robert H. Smith School of Business was selected as a key contributor in a $50 million grant from the National Institutes of Health (NIH) in a new effort to enhance diversity in artificial intelligence and machine learning research and initiatives.

You’re feeling nervous as finals week approaches. A friend passing you on McKeldin Mall stops to ask how you’re feeling. “Good,” you reply with wince and a shrug. The friend can plainly see from your facial expression and body language that “good” alone doesn’t capture the truth about your emotional state. Now, a UMD computer scientist has created a virtual “friend”—an artificial intelligence-driven virtual conversational assistant—which also can understand the subtleties about how you convey emotion.

A $2,949,109 award from the National Science Foundation will help University of Maryland researchers explore the “rules of life” of networks of neurons in the brain—a project that could one day lead to better computing tools.

There are myriad benefits to learning a new language—from conversing with people from other backgrounds, to easing international travel, to advancing your career. But acquiring a new language as an adult is not always easy, particularly if a person is trying to distinguish phonetic sounds not often heard in their native language.