The research combines principles from reinforcement learning and game theory to better understand and enhance Generative AI-Agents’ safety.
Julia Mendelsohn uses computational methods to understand social phenomena and examines new language technologies in use today.
UMD researchers developed a low-cost, fully recyclable 3D-printed circuit board that dissolves in water, making electronics prototyping more eco-friendly.
Raunak Dey uses math to model how viruses interact with microbial communities to inform health and policy.
Philip Resnik argued in a new paper that chatbot biases reflect how large language models learn rather than a simple technical problem.
Bahar Asgari and her students are presenting four papers on sparsity at this year’s MICRO symposium.
Jordan Boyd-Graber and his students have revamped their quizbowl competition to better gauge trust and collaboration between people and machines.
Education policy and data science expert Jing Liu helped organize the event on improving children’s speech datasets for education.
New partnership strengthens university’s quantum ecosystem, which includes the Joint Center for Quantum Information and Computer Science (QuICS).
The NSF-funded project leverages AI and diverse environmental data to better predict and manage wildfires.
