UMD researchers are developing robotic sensing abilities that mimic biological systems to judge distances.
Rising AI use in American newspapers raises questions about factuality and trust with readers, UMD computer science and journalism researchers say.
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.
Julia Mendelsohn is combining language, politics, and computer science to better understand implicit language in political discourse.
UMD researchers developed a low-cost, fully recyclable 3D-printed circuit board that dissolves in water, making electronics prototyping more eco-friendly.
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.
