The funds support new courses aimed at preparing UMD students for a society increasingly shaped by AI.
A UMD team is being recognized for the lasting impact of their research on collision-avoidance technology.
This year’s recipients were recognized for work spanning artificial intelligence, climate science, student mentorship, and interdisciplinary education.
TRAILS researcher David Broniatowski explains the pattern-based systems behind tools like ChatGPT, and the risks that come with them.
The $270K award from Coefficient Giving supports her efforts to strengthen AI safeguards.
The funding incentivizes a wide range of stakeholders to engage with and influence the future of AI.
Evan Economo helps reveal insects’ diversity in database of extraordinary 3D images.
Katie Shilton is leading research on participatory design to build trustworthy AI systems.
Zeying Zhu is developing efficient, high-performance cloud telemetry systems that help engineers monitor large-scale services at lower cost.
Jordan Boyd-Graber envisions artificial intelligence systems enhancing, not replacing, humans.
