Rice’s Nai-Hui Chia wins NSF CAREER Award
Rice computer scientist Nai-Hui Chia has won a National Science Foundation CAREER Award to develop a new theoretical framework to facilitate the development of efficient quantum algorithms for a range of problems in quantum physics and computer science as well as enhance the security of quantum cryptography.
Energy and computing collide at annual Rice event
The 17th annual Energy High Performance Computing Conference hosted by Rice University’s Ken Kennedy Institute March 5-7 is the premier meeting place for the energy industry to engage in conversations about challenges and opportunities in high performance computing (HPC), computational science and engineering, machine learning and data science.
Rice’s Angela Wilkins named to Texas’ Artificial Intelligence Advisory Council
Angela Wilkins, executive director of Rice’s Ken Kennedy Institute, is one of four members appointed to the Texas Artificial Intelligence (AI) Advisory Council, which studies and monitors AI systems developed, employed or procured by state agencies.
Google’s chief scientist discusses artificial intelligence history and future at Rice
Jeff Dean, chief scientist at Google, spoke at Rice University Feb. 13 to discuss trends in artificial intelligence (AI) and machine learning (ML).
Rice joins federal consortium on AI safety
Rice has joined the nation’s leading artificial intelligence stakeholders to participate in a Department of Commerce initiative to support the development and deployment of trustworthy and safe AI.
Widely used machine learning models reproduce dataset bias in Rice study
Rice researchers found two machine learning models widely used for immunotherapy research did not correct for bias present in the publicly available data used to train the models, which appears to favor higher-income populations.
Rice’s Santiago Segarra wins NSF CAREER Award
Rice’s Santiago Segarra has won an NSF CAREER Award for his research on leveraging the structural properties of real-world data in order to boost AI effectiveness and utility.
Rice’s Fred Oswald serves as panelist during AI House Davos
Fred Oswald, the Herbert S. Autrey Professor of Psychology at Rice University, was a panelist on "The Impact of U.S. and E.U. Regulation on Business and Society," held Jan. 16 at AI House Davos, a multi-stakeholder platform for responsible AI progress, held during the World Economic Forum 2024 in Davos, Switzerland.
Rice hosts distributed computing, machine learning colloquium
Rice hosted the Texas Colloquium on Distributed Learning, a two-day summit of talks on distributed computing and large-scale machine learning held at the new Ralph S. O’Connor Building for Engineering and Science.
Interdisciplinary Rice team tackles the future of semiconductors
An interdisciplinary team of Rice University scientists has won a $1.9 million National Science Foundation grant for research on materials that could serve as the basis for next-generation energy-efficient computing devices.
Rice U.’s Kaiyu Hang wins NSF CAREER Award
Kaiyu Hang, an assistant professor of computer science at Rice University, has won a National Science Foundation CAREER Award to develop robots that can manipulate unfamiliar objects in high-uncertainty situations.
Rice has announced an initial commitment to fund groundbreaking, interdisciplinary research at five new and existing institutes across campus.
Doerr Institute announces Leader Impact Award winners
The Doerr Institute for New Leaders recently named Alex Han and Zac Andrews as the winners of the first Doerr Leader Impact Award for their dynamic and innovative work in community leadership.
Rice’s Todd Treangen wins NSF CAREER Award
Todd Treangen wins NSF CAREER Award to develop a comprehensive computational platform for detecting yet-unseen microbial pathogens.
Mosquito’s DNA could provide clues on gene expression, regulation
Rice University researchers discover that the Aedes aegypti mosquito’s DNA has the physical properties of a liquid crystal, a unique feature not found in any other species that could provide new clues on the factors that govern gene expression and regulation.
