Sweta Agrawal and Eleftheria Briakou are helping millions communicate across languages with advanced AI.
Amisha Bhaskar recently presented her research in Boston, showcasing four projects that help robots learn efficiently from limited human input.
The novel DynaGuard system replaces rigid, one-size-fits-all AI safeguards with a customizable framework that adapts to real-world risks.
MC2 faculty member Dave Levin and student Annie Dai helped uncover a significant internet security flaw.
Julia Mendelsohn is combining language, politics, and computer science to better understand implicit language in political discourse.
The research combines principles from reinforcement learning and game theory to better understand and enhance Generative AI-Agents’ safety.
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.
