News

Nicole Yunger Halpern is part of a team that’s developed a new technique that can reset qubits in quantum computers highly effectively, a critical task for successful quantum computing.

He is profiled in a feature article published by the National Institute of Standards and Technology.

Five emerging scholars traveled to College Park to present their research and connect with UMD’s machine learning community, with one researcher joining virtually.

Being conferred Fellow status is the highest grade of IEEE membership, and one that is recognized by the technical community as a prestigious honor and an important career achievement.

Sanjali Yadav has developed a novel machine learning approach that enables adaptive and intelligent hardware, boosting dataflow efficiency and reducing energy consumption.

The papers highlight new innovations involving electric vehicles and the use of digital watermarks in large language models.

Vishkin joins fellow UMD faculty member Yang Tao, a professor in the Fischell Department of Bioengineering, honored by election to the academy this year.

Weinstein retired in 2016 after having served for more than 30 years as the director of administration and operations of UMIACS.

To help improve our environment, Phillip Pope is developing machine learning methods to accelerate chemical simulations, with the goal of discovering new materials to reduce the reliance on fossil fuels.

The team has developed an AI-driven keyword mnemonic generator designed to make learning more efficient and effective for students.