News
UMD Team Uses AI to Enhance Mnemonic Learning
UMD's Jordan Boyd-Graber is leading the development of an AI-driven mnemonic generator designed to simplify vocabulary learning.
AI With an Impact: UMD Team Testing Bilingual Chatbot for New Moms
TRAILS faculty member Jordan Boyd-Graber is leading the computational component of the multidisciplinary project.
Evaluating Machine Translation Systems in Emergency Rooms
UMD’s Marine Carpuat and Ge Gao are exploring the quality of English-to-Chinese machine translation systems in high-stakes medical settings.
Grant Funds Bilingual Capabilities of Health Chatbot for Moms of Babies
UMD’s Jordan Boyd-Graber is helping to develop a chatbot in that will help new moms answer questions—in both English and Spanish—related to infant and maternal health, pulling information from reputable online sources like the CDC.
Grand Challenges Grant Launches Values-Centered AI Initiative
Hal Daumé, Katie Shilton, Hernisa Kacorri, Jordan Boyd-Graber, Furong Huang and Huaishu Peng are members of UMD’s new Center for Values-Centered Artificial Intelligence, which is focused on developing conceptual and technical frameworks to advance AI in a way that is not only ethical, but also places the well-being of people at the forefront.
Faculty Receive Meta Research Awards to Advance AI
UMD’s Jordan Boyd-Graber is creating challenging human-in-the-loop (HITL) examples for question-answering tasks assigned to computers.
CLIP Lab Presents a Plethora of Papers and Workshops on Human-Centered NLP
UMD’s Marine Carpuat, Jordan Boyd-Graber, and Hal Daumé presented papers at a conference focused on human-centered natural language processing.
Can a Strategy Game Help AI Learn to Spot Scammers?
UMD’s Jordan Boyd-Graber is developing artificial intelligence that can beat an online version of the board game Diplomacy. It's part of a DARPA-funded project to give artificial intelligence systems enough savvy to help defend against online scammers.