Rice’s Naomi Halas awarded Optica’s C.E.K. Mees Medal
Rice University’s Naomi Halas has been selected as the 2024 recipient of the C.E.K. Mees Medal by Optica for her “original use of optics across multiple fields.”
Aluminum nanoparticles make tunable green catalysts
The Rice lab of nanotechnology pioneer Naomi Halas has uncovered a transformative approach to harnessing the catalytic power of aluminum nanoparticles by annealing them in various gas atmospheres at high temperatures.
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.
Radiation from massive stars shapes nascent planetary systems
NASA has released the first stunning images of the Orion Nebula from the James Webb Space Telescope in a study in the journal Science that shows with unprecedented precision how massive stars impact the formation of planetary systems.
International Space University’s Space Studies Program lands at Rice University this summer
Rice University will host hundreds of space industry and research professionals for the International Space University’s 36th annual Space Studies Program (SSP) between Jun. 8 and Aug. 3.
Rice lab finds better way to handle hard-to-recycle material
Rice researchers have developed a new, energy-efficient upcycling method to transform glass fiber-reinforced plastic (GFRP) into silicon carbide, widely used in semiconductors, sandpaper and other products.
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.
Data-processing tool could enable better early stage cancer detection
A team of Rice researchers has developed a tool that is better at integrating single-cell DNA and RNA data than more recent, state-of-the-art technologies. The findings could lead to better early stage cancer detection.
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.
Advancing materials science, Rice professors examine chirality in nearly 2D
Hanyu Zhu and Boris Yakobson shared their perspective on chirality in 2D materials in Nature Materials.
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.
Live from the brain: Visual cues inform decision to cooperate
By combining behavioral and wireless eye tracking and neural monitoring, a team of Rice scientists and collaborators studied how pairs of freely moving macaques interacting in a naturalistic setting use visual cues to guide complex, cooperative behavior.
Rice, ERDC sign educational partnership agreement
Rice and the United States Army Engineer Research and Development Center (ERDC) have signed an Education Partnership Agreement in formal recognition of their collaboration as part of Improving Access to Career and Educational Development (I-ACED).
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.