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A test subject's breath is captured for analysis by the Gesundheit II device at the University of Maryland. Photo by Todd Treangen

Mask up, and make ’em tight

September 22, 2021

A loose-fitting mask may be doing you no favors if you’re around SARS-CoV-2.

Abstract image to accompany column about the current and future states of quantum computing

The Way I See It: The state of quantum computing

August 16, 2021

Ken Kennedy Institute Executive Director Angela Wilkins discusses the development and future of quantum computing.

A slice of microbial mat from a Yellowstone Park hot spring

Data scientists go to the mat to learn about microbial networks

August 4, 2021

A project led by Rice University data scientists will attempt to define "social networks" in microbiomes, starting with microbial mats that thrive in Yellowstone Park's hot springs.

Moshe Vardi

Vardi wins award for social and professional responsibility

July 29, 2021

Rice computer scientist Moshe Vardi has won the 2021 Norbert Wiener Award for Social and Professional Responsibility from IEEE's Society on the Social Implications of Technology.

A “high quality” 3D-printed bioscaffold as designed with help from a machine learning algorithm developed at Rice University. Scale bar equals 1 millimeter. (Credit: Mikos Research Group/Rice University)

AI could expand healing with bioscaffolds

July 22, 2021

Artificial intelligence can speed the development of 3D-printed bioscaffolds that help injuries heal, according to Rice researchers.

Vicente Ordóñez

Vicente Ordóñez joins Rice with CAREER Award

July 13, 2021

Rice computer scientist Vicente Ordóñez receives an NSF CAREER Award to advance machine-learning algorithms’ ability to recognize complex visual concepts.

Luay Nakhleh

Scientists seek details of cancer’s evolutionary tree

July 9, 2021

Rice University computer scientists will take full advantage of new technology to sequence the genome of a single cell to decode mysteries contained in tumors.

Aerial image of the Texas Medical Center with the ENRICH office logo

Six Rice-TMC research teams earn seed grants

June 28, 2021

Rice's Educational and Research Initiatives for Collaborative Health has announced six seed grants for research collaborations between faculty from Rice and the Texas Medical Center.

Genome sequence data on a screen.

RAMBO speeds searches on huge DNA databases

June 28, 2021

Rice computer scientists are sending RAMBO to rescue genomic researchers who sometimes wait days or weeks for search results from enormous DNA databases.

People, Papers and Presentations PPP

People, papers and presentations Jul 14, 2021

June 14, 2021

Lydia Kavraki, the Noah Harding Professor of Computer Science and director of the Ken Kennedy Institute, is co-author of a commentary in the National Academy of Medicine on how the pandemic’s unprecedented stress on the U.S. health care system revealed its fragility and suggests how it could accelerate the advance of telehealth and digital medicine.

Lydia Kavraki

NIH grant boosts computational search for cancer drugs

June 7, 2021

Computer scientist Lydia Kavraki of Rice University’s Brown School of Engineering has won a prestigious National Institutes of Health U01 grant to develop a new approach to model and analyze protein-ligand interactions in cancer research.

Moshe Vardi

Moshe Vardi earns top computer science honor

May 27, 2021

Rice's Moshe Vardi has won the 2021 ACM/AAAI Allen Newell Award for his influential work at the interface of logic and computer science.

Vardi

Moshe Vardi wins Knuth Prize

May 20, 2021

Rice's Moshe Vardi has won the 2021 Donald E. Knuth Prize, one of theoretical computer science's most prestigious annual awards.

Team CSI

Students’ model could help avoid costly natural gas compressor shutdowns

May 7, 2021

A student project to predict the need for maintenance in natural gas compressors and avoid unexpected shutdowns has won this year’s Data to Knowledge Lab Showcase.

Anshumali Shrivastava

Rice, Intel optimize AI training for commodity hardware

April 7, 2021

New AI software trains deep neural networks 15 times faster than platforms based on graphics processors.

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