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Rice’s Technology Development Fund backs faculty projects

December 10, 2021

Nine projects proposed by Rice researchers have been granted seed funding by Creative Ventures' Technology Development Fund.

Photo credit: 123rf.com

AI technology no silver bullet for hiring the best employees, says new Rice research

November 22, 2021

Artificial intelligence technology is now used by a growing number of companies looking to hire the best employees, but new research from Rice University warns how it can incorporate biases and overlook important characteristics among job applicants.

Rice University computer scientist Ashumali Shrivastava and graduate student Ben Coleman

Big data privacy for machine learning just got 100 times cheaper

November 16, 2021

Rice University computer scientists have discovered an inexpensive way for tech companies to implement a rigorous form of personal data privacy when using or sharing large databases for machine learning.

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.

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.

Rice University and Lawrence Livermore National Laboratory engineers are using neural networks to accelerate predictions of how the microstructures of materials evolve. The machine-learning technique should speed the development of novel materials.

Neural nets used to rethink material design

April 30, 2021

The microscopic structures and properties of materials are intimately linked, and customizing them is a challenge. Rice University engineers are determined to simplify the process through machine learning.

Pedram Hassanzadeh

Pedram Hassanzadeh wins NSF CAREER Award

April 21, 2021

Atmospheric blocking is known to cause or exacerbate extreme weather events, but much about them remains a mystery. Rice University fluid dynamicist Pedram Hassanzadeh has won a prestigious National Science Foundation CAREER Award to study these events with an eye toward better understanding the physics behind their complex mechanics.

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.

Todd Treangen

Bioinformatics tool accurately tracks synthetic DNA

February 26, 2021

A Rice computer science lab challenges -- and beats -- deep learning in a test to see if a new bioinformatics approach effectively tracks the lab of origin of a synthetic genetic sequence.

comparison of large in tact tissue section and thinly sliced tissue

AI-powered microscope could check cancer margins in minutes

December 17, 2020

Researchers from Rice University and MD Anderson Cancer Center have created a microscope that uses artificial intelligence to quickly and inexpensively image large tissue sections at high resolution with minimal preparation. If clinically validated, the DeepDOF microscope could allow surgeons to inspect tumor margins within minutes.

Anshumali Shrivastava

Bad news for fake news: Rice research helps combat social media misinformation

December 10, 2020

Improved use of machine learning can double throughput of real-time information filters, Rice researchers find.

A computational tool created at Rice University may help pharmaceutical companies expand their ability to investigate the safety of drugs. (Credit: Kavraki Lab/Rice University)

Deep learning gives drug design a boost

October 5, 2020

A computational tool created at Rice University may help pharmaceutical companies expand their ability to investigate the safety of drugs.

Richard Baraniuk and Moshe Vardi

Researchers set sights on theory of deep learning

August 31, 2020

Rice's Richard Baraniuk and Moshe Vardi are part of a multiuniversity team of engineers, computer scientists, mathematicians and statisticians tapped by the Office of Naval Research to develop a principled theory of deep learning.

An overview by the U.S. Geological Survey shows the location of the Nuugaatsiaq landslide (yellow star) relative to five broadband seismic stations (pink triangles) within 500 km of the landslide. Nuugaatsiaq (NUUG) was impacted by the resulting tsunami the reached a height of 300 feet at sea, though it was much lower before it reached the village. The inset shows the geometry of the fjords relative to the landslide and Nuugaatsiaq. (Source: USGS)

Small quake clusters can’t hide from AI

August 24, 2020

A deep learning algorithm developed at Rice University analyzes data from a deadly landslide in Greenland to show how it may someday predict seismic events like earthquakes and volcanic eruptions.

Yingyan Lin, assistant professor of electrical and computer engineering

Early Bird uses 10 times less energy to train deep neural networks

May 18, 2020

Rice engineers have found a way to train deep neural networks for a fraction of the energy required today. Their Early Bird method finds key network connectivity patterns early in training.

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