Meet Rice CS’ new faculty: Nai-Hui Chia
Chia specializes in quantum algorithms, quantum complexity, and quantum cryptography
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‘Human Flourishing in the Age of AI’ conference tackles how AI is quietly reshaping what it means to live a fully human life.
New imaging approach could enable faster, more accurate 3D sensing for robotics, manufacturing and autonomous systems.
As part of the Defense Advanced Research Projects Agency’s Bio-attribution Challenge, a team of Rice University computer scientists is building a computational tool to screen environmental DNA samples for pathogens.
What does it mean for human beings to flourish in a world shaped by AI?
Meet Rice CS’ New Professor: Vladimir Braverman
Braverman specializes in algorithms and their applications for machine learning, computer networks, and medical imaging
Biomedical, data science training wins new $4.16M grant
PI Lydia Kavraki is the Program Director for the National Library of Medicine Training Program
Three new faculty members join Rice Computer Science
New hires include experts in quantum computing, efficient sublinear algorithms, machine learning, and high-performance computing
Rice, NASA extend Space Act Agreement
Previous collaborations, including Lydia Kavraki's Robonaut program, were key to negotiating the extension.
Four Rice CS grad students named National GEM Consortium fellows
CS Fellows are sponsored by Adobe, Intel, IBM and Johns Hopkins
Rice CS team accelerates genome variant analysis, processing SARS-COV-2 data in minutes
PhD student Tiancheng Xu presents new hardware accelerator with advisors Alan Cox and Scott Rixner at FCCM22
CDC names Houston Health Dept, Rice a wastewater epidemiology Center of Excellence
Rice CS' Todd Treangen & CEE's Lauren Stadler developed and maintain a weekly viral genome analysis to screen for SARS-CoV-2 variants of concern
Xia “Ben” Hu and Rice CS’ DATA Lab win Outstanding Paper at ICML 2022
G-Mixup graph augmentation substantially improves graph neural networks
Toward robots working in the real world: Failure makes planning better
Kavraki Lab's Tianyang Pan and Rahul Shome present on robotics planning tasks and motions at ICRA