Rice University and Université Paris Sciences & Lettres, two of the world’s leading urban research and higher education institutions, announced Monday in Paris the signing of a strategic partnership for research and innovation on major global challenges and opportunities.
Ken Kennedy Institute launches AI, data and computing seed funding initiative
The Ken Kennedy Institute, in collaboration with the Rice Synthetic Biology Institute, Smalley-Curl Institute and the Rice Advanced Materials Institute, awarded $175,000 in support of seven innovative research projects looking to establish new paradigms in AI, data and computing.
Rice engineers develop innovative microbiome analysis software tools
Rice engineers have developed two new graph-based computational tools for tracking genomic variation within microbiomes.
OpenStax at Rice University was awarded $90 million from the National Science Foundation to build and lead SafeInsights, a groundbreaking research and development (R&D) hub for inclusive learning and education research to benefit tens of millions of students and their instructors across all educational levels.
Poetry meets AI: Nick Flynn and David Rokeby premiere groundbreaking collaboration at the Moody
The groundbreaking collaboration between poet Nick Flynn and media artist David Rokeby unveiled a fusion of poetry and artificial intelligence (AI) at an April 12 event at Rice University’s Moody Center for the Arts.
Special issue of Rice Magazine explores university’s world-renowned research
The spring 2024 issue of Rice Magazine highlights a sample of the dynamic, complex and ambitious scholarship underway in academic disciplines across campus.
Rice’s Moshe Vardi awarded honorary title by the University of Calabria
For the 10th time, Moshe Vardi, University Professor at Rice and an expert in computational logic, artificial intelligence and databases, has been awarded an honorary title by a university outside the United States, this time by the University of Calabria, Italy.
Ken Kennedy Institute hosted 17th annual Energy High Performance Computing Conference
The Ken Kennedy Institute at Rice hosted the 17th annual Energy High Performance Computing Conference on March 5-7 at the BioScience Research Collaborative, welcoming over 560 guests to Rice from 30 states and 11 countries.
U.S.-Latin America ‘policy lab’ could leverage AI as arena for international collaboration
Rice experts weighed in on a public hearing of the National Artificial Intelligence Advisory Committee (NAIAC) on the risks, opportunities and potential ways to leverage artificial intelligence as an arena for international collaboration between the U.S. and Latin America.
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.
