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Taxa4Meta represents a new “best practices” approach for more accurate diagnoses
Dean of engineering recognized for his distinguished and continuing achievements in computational biology
Bikrant Das Sharma places first in AAAS Student E-Poster Competition
Fulbright MDS students share how EPMP nurtures their career aspirations in a culturally rich environment
RiceApps develops Houston Food Bank recipe tool Monday, Mar. 21, 2022
The student group provides tech solutions on campus and for non-profits
Big Data vs Data Science: What's the Difference? Friday, Mar. 18, 2022
Extracting knowledge from data requires data scientists to manage and interpret insight from big data. Learn the differences between big data and data science.
COVID-19 variants can’t hide from Variabel Monday, Mar. 14, 2022
Treangen Lab develops program to find ‘low-frequency’ variants in sequence data
Adam Zawierucha is developing products and communication skills Friday, Mar. 11, 2022
CS and math major helped create the map app for Rice Public Art.
Three Rice CS faculty researchers win NSF CAREER Awards Wednesday, Mar. 2, 2022
Dautenhahn, Kyrillidis and Yao earn grants, which are among the most competitive and prestigious given by the federal agency.
Vicky Yao wins CAREER Award Tuesday, Mar. 1, 2022
Rice CS assistant professor will build tools to study DNA methylation
Charles Jiang is building AI to empower software engineers Monday, Feb. 28, 2022
Computer science Ph.D. student's research lies at the intersection of machine learning and program synthesis.
Rice CS Senior Jasmine Manansala talks ‘Jeopardy!’ lessons learned, friendships forged after game show appearance Thursday, Feb. 17, 2022
Manansala's episode of The National College Championship aired February 8th
Rice CS' Hu and Costilla-Reyes win highly competitive NSF Small Business Innovation Research grant Tuesday, Feb. 15, 2022
The grant will help further develop their system for creating machine-learning models used in Internet of Things industrial hardware
ML models teach computer programs to write other computer programs Friday, Feb. 11, 2022
Jermaine, Mukherjee and team combine neural machine learning and symbolic methods to write programs without semantic errors