Vardi honored for introducing 'a new paradigm' in computing
Vardi received two honorary doctorates from European universities.
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Two New AI Courses Open to Every Major at Rice. No Experience Required.
In recognition of her outstanding research and leadership in computer science, robotics and AI
When future astronauts return to the moon through NASA’s Artemis program, they will need intuitive, reliable interfaces.
The $19.9 million award from the National Science Foundation to lead a four-year project aimed at using artificial intelligence, robotics and cloud-based laboratories to accelerate the manufacturing of electronic and quantum materials.
Lydia Kavraki featured in Nomadic Monument for Women in Robotics
Lydia Kavraki is among the eight women featured in the Nomadic Monument for Women in Robotics.
‘A system purely for developing high-performance, big data codes’
Rice U. team to unveil PlinyCompute this week at SIGMOD conference
A better statistical estimation of known Syrian war victims
Data ‘hashing’ improves estimate of the number of victims in databases
Lewis, Meel receive REA Awards
Cannon Lewis, CS and Mathematics ’18, and alumnus Kuldeep Meel, CS Ph.D. ’17, have received awards from the Rice Engineering Alumni (REA).
Mohit Aron honored for making 'significant contributions'
Mohit Aron honored for making 'significant contributions'
Faculty, postdoc honored for teaching, research, advising
Luay Nakhleh, professor and chair of computer science, is among the five faculty members and a postdoctoral research associate in the George R. Brown School of Engineering at Rice University are the recipients of newly created awards.
Undergraduate Paper accepted at USENIX Workshop
A paper authored by Adam Morrison, CS ’19, has been accepted at USENIX Workshop.
Vardi honored for 'outstanding contributions to logic and computation'
Moshe Y. Vardi, will share with a colleague the 2018 Alonzo Church Award for Outstanding Contributions to Logic and Computation.
Rice U. turns deep-learning AI loose on software development
Computer scientists at Rice University have created a deep-learning, software-coding application that can help human programmers navigate the growing multitude of often-undocumented application programming interfaces, or APIs.