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McKinley ’85 ’90 ’92 is a “Triple Owl” who studied under Ken Kennedy
The Accelerator is led by Rice Nexus, under the leadership of CS faculty member Sanjoy Paul
Dean and CS Professor Nahkleh recognized for contributions to computational biology
Rice MDS students develop cutting-edge MRI software for their D2K capstone project
Rice CS PhD alumni cite Ben Hu’s mentorship for success in industry and academic roles Wed, 12/13/2023 - 14:11
Associate professor launches four Ph.D. alumni in first two years at Rice
Rice computer scientists steer robot workshop and privacy concerns at IROS 2023 Tue, 12/12/2023 - 11:36
Kavraki lab researchers lead robot task and motion planning workshop, address data and image privacy breaches in robotics
Best-ATVA-Paper Award surprises Rice CS alumni and professor Moshe Vardi Thu, 11/16/2023 - 11:54
LTLf logic problem stumps then inspires computer science researchers
Rice University researcher presents quantum computing work at SC2023 Thu, 11/09/2023 - 13:30
CS assistant professor Tirthak Patel’s GRAPHINE optimizes the use of neutral atoms
Rice CS team recognized for Innovative Solution in ICCAD quantum computing challenge Thu, 11/02/2023 - 15:50
Tirthak Patel and CS students analyze hydroxyl cation in drug discovery competition
Rice CS PhD student introduces 1M-scale synthetic dataset in Paris Wed, 11/01/2023 - 11:28
Paola Cascante-Bonilla presents new computer vision research at ICCV 2023
Rice CS' Xia Ben Hu investigates LLMs and likely applications Wed, 10/18/2023 - 21:46
DATA Lab focuses LLM research on systems and applications
Rice CS and Amazon researchers reveal GEMINI at SOSP in Germany Wed, 10/18/2023 - 17:02
Eugene Ng and Zhuang Wang improve failure recovery speed for LLM training
Shrivastava Lab Presents 6 Papers at 5 Flagship Research Conferences Fri, 10/13/2023 - 11:31
Rice CS researchers present AI & LLM papers at ICML, ICLR, UAI, AISTATS, & RecSys
Rice University data science grad students tap public datasets for ML models in capstone projects Tue, 10/03/2023 - 08:28
Chevron Digital Scholar MDS teams predict renewable energy capacity, cancer markers, and technical documentation details