News
Decoding Emojis with Artificial Intelligence
UMD’s Wei Ai is testing AI’s ability to interpret emojis in various scenarios and languages, with the goal of improving their use in machine learning and natural language processing models.
UMD Researchers Build AI Database to Improve Math Learning Outcomes
Supported by a $4.5 million grant from philanthropic organizations, Jing Liu and Wei Ai are creating an open-source, high-quality dataset of classroom recordings that can be used to accelerate AI-driven outcomes for K–12 math education.
TRAILS Announces Second Round of Seed Funding
Five interdisciplinary projects, funded with seed grants ranging from $115K to $150K apiece, will advance novel AI research and scholarship that can impact education, transportation, emergency preparedness and health care.
$1.5M NSF Grant to Boost Middle School Math Learning With AI
UMD's Jing Liu and Wei Ai are part of a multi-institutional team funded by a $1.5 million NSF grant that is using AI and machine learning to assess and improve the quality of middle-grade mathematics lesson plans.