Rice, TAMU, and PVAMU collaborate with Google and the NSF
Rice CS & DS summer programs introduce undergraduates from across the U.S. to research opportunities
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How a Marine Corps Veteran Leveraged the Flexible Online Master of Data Science Program to Launch a Career in Human Spaceflight Research. (Spoiler: Is an Online Degree This Rigorous Worth the Investment?)
Algorithm’s potential to advance quantum computing places team among select group vying for $5M prize
Honor recognizes influential work in data center networking and Internet performance measurement
Rice experts available to discuss emerging computational technologies reshaping disease detection, public health preparedness and next-generation therapeutics
Kavraki Lab presents four papers at ICRA 2023 in London
Rice computer scientists showcase improvements for automation and robots
Rice CS joins UH in research to improve transportation cyber security
Silva, Hu and Jermaine focus ML, AI, and graphs on DOT infrastructure
Tang, Jermaine and team pioneer breakthrough solution to big data challenges
ICML 2023 paper reveals groundbreaking techniques in differentiating relational algebra for large-scale ML
Todd Treangen promoted to associate professor with tenure
His research lies at the intersection of computer science, public health, and genomics
Ferreira & Schreib named finalists for Phi Beta Kappa Teaching Award
The honor highlights top-rated early-career faculty across the university
Rice and Houston Health Department publish wastewater SARS-CoV-2 research in Nature Communications
Rice CS, STAT, and CEVE researchers develop tool for early identification of SARS-COV-2 mutations in wastewater
Liu, Chen & team advance cloud security in USENIX Security paper
Rice CS Ph.D. student uses novel approach to deploy cloud devices as security enforcers
Rice CS team helps robots rearrange objects without gripping them
The research is one of five papers presented at ICRA 2023
Kyrillidis uses Microsoft Research Award to tackle ‘forgetful’ AI in ML systems
Rice Computer Science faculty member aims to improve efficiency and performance in continual learning with neural networks