News
Embodied AI Can Close the Nonverbal Communication Gap for Blind Individuals
UMD’s Huaishu Peng and Ge Gao collaborating with Cornell’s Malte Jung, are developing an AI-infused, touch-based and audio feedback device that can convey physical cues between blind and sighted co-workers that might previously have gone unnoticed.
Autonomous Cars Don’t Understand How Blind People Move Around. A UMD Research Team Is Trying to Boost Safety.
Hernisa Kacorri is developing a dataset with real-world 3D motion-capture data and detailed descriptions that accurately capture what blind individuals encounter in an urban setting.
UMD Researchers Organize NeurIPS Competition to Improve AI Watermarks
UMD's Furong Huang and Tom Goldstein led an international AI watermark-removal competition to test the resilience of watermarking techniques for identifying AI-generated images.
Leveraging Natural Language Processing to Guide Educators
UMD’s Jing Liu is using natural language processing to analyze K-12 math classroom transcripts and provide feedback to help teachers improve, finding that NLP is more effective when combined with human coaching.
Designing Smart Robotic Pets to Aid Autistic Youth
UMD's Hernisa Kacorri and GW's Chung Hyuk Park and Zoe Szajnfarber are studying how families can use AI robotic pets to support autistic children.
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.