A literary work's cast of characters can be true-to-life, or it can embody regressive stereotypes. A new AI system developed by UMD researchers can help writers tell the difference.
UMD-affiliated computational linguists Kasia Hitczenko and Naomi Feldman have published groundbreaking research that examines how infants learn to identify sounds in their native language.
With $1.6M in funding from the National Science Foundation and Amazon, University of Maryland faculty are developing algorithms and protocols that can improve the efficiency, reliability and trustworthiness of artificial intelligence systems.
Through a $2 million contract with the Maryland State Department of Education, Niklas Elmqvist is working to make data visualization tools more accessible for high school students who are visually challenged.
The two UMIACS faculty members are active in three of the 17 projects recently chosen to split $3 million in seed funding from the University of Maryland Strategic Partnership: MPowering the State.
Being conferred Fellow status is the highest grade of IEEE membership, and one that is recognized by the technical community as a prestigious honor and an important career achievement.
A team of researchers in the Computational Linguistics and Information Processing (CLIP) Laboratory are using computational modeling to investigate learning mechanisms that can help listeners adapt their speech perception of a new language.
