Rice computer scientists develop solutions for making AI models more efficient and customizable
Shrivastava and team present three papers on LLM advancements at NeurIPS
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The summits brought together global experts to set the vision for the future of quantum computing and artificial intelligence (AI).
Novel algorithm offers solution to adjusting bandwidth at cloud scale
Qian received guidance and support through the Future Faculty Fellows program.
Rice faculty join international experts to develop updated guidelines for responsible innovation, marking 50 years since the landmark 1975 Asilomar conference
Rise of DeepSeek: Experts weigh in on the disruptive impact of new Chinese open-source AI model
Rice CS faculty members Anshumali Shrivastava and Xia Ben Hu discuss the future of AI
Rice uses generative AI to enhance research security, saving hundreds of expert hours each week
PRISM helps identify hidden research risks and ensures compliance with federal security standards
Kavraki named IEEE RAS distinguished lecturer
Robotics professor nominated for three-year appointment by RAS’s Technical Committee on Motion Planning
Rice earns top 10 spot in US News rankings for online graduate computer science program
The OMCS program advanced four spots to No. 10
Kavraki lab advances immunotherapy research
Modeling tool APE-Gen2.0 expands peptide-MHC modeling repertoire to aid in targeted therapy development
Rice CS lab makes leaps in memory compression for machine learning
Novel approach achieves 10,000X reduction in memory use
Building momentum for the theory behind deep neural networks
CS Professor Anastasios Kyrillidis and PhD student Fangshuo (Jasper) Liao explore how momentum hastens solutions for deep neural networks
Four Rice CS grad students awarded sponsored fellowships
Awards include the annual Andrew Ladd Memorial fellowship
December graduates reflect on time at South Main
New CS alumni share their favorite parts of being a student at Rice