News

A UMD team that includes Vanessa Frias-Martinez received a $5M NSF grant for tech solutions to reduce food insecurity and waste.

Researchers from the Computational Linguistics and Information Processing Lab are looking into the problems that arise when language translation tools provide physicians with incorrect translations for discharge instructions or medication protocols.

Nirupam Roy is developing a tool that can help verify the authenticity of audiovisual recordings.

The eight funded projects, totaling just over $1.5 million, will advance cutting-edge research and scholarship that spans AI design, development and governance.

The Institute for Trustworthy AI in Law and Society recently partnered with the Digital Trade and Data Governance Hub to host a conference to identify gaps in data governance related to large language models and discuss ideas to address them.

The award—expected to total $665,550 over the next five years—supports her work in advancing reliable and trustworthy artificial intelligence (AI) for social good.

The daylong event joined researchers from the federal government, academia and private industry, all focused on exploring the interactions between complex microbial communities.

Five papers by current QuICS members were accepted for talks and one will be featured in an invited plenary talk—a mark that continues a strong history of QuICS representation at the premier conference dedicated to quantum computer science.

Their findings could be applied to future studies of gut health, including conditions like jaundice and inflammatory bowel disease.

QuICS Fellow Michael Gullans and Hartree Postdoctoral Fellow Dominik Hangleiter were part of a team that created a prototype quantum computer with a record number of qubits.