Siemens Licenses Rice Compressive Sensing Tech to Enhance MRI Scans
October 2017
Patients who have to undergo a magnetic resonance imaging (MRI) scan may be spared the ordeal of having to lie still in the scanner for up to 45 minutes, thanks to new compressive sensing technology developed in the groups of Rice ECE faculty Richard Baraniuk and Kevin Kelly. The patented technology was recently licensed from Rice by Siemens Healthineers.

Rice Team Developing Flat Microscope for the Brain
July 2017
Rice University engineers are building a flat microscope, called FlatScope (TM), and developing software that can decode and trigger neurons on the surface of the brain. The goal as part of a new government initiative is to provide an alternate path for sight and sound to be delivered directly to the brain. The project is part of a $65 million effort announced this week by the federal Defense Advanced Research Projects Agency (DARPA) to develop a high-resolution neural interface. Among many long-term goals, the Neural Engineering System Design (NESD) program hopes to compensate for a person’s loss of vision or hearing by delivering digital information directly to parts of the brain that can process it.

Rice University scientists slash computations for ‘deep learning’
June 2017
Rice University computer scientists have adapted a widely used technique for rapid data lookup to slash the amount of computation — and thus energy and time — required for deep learning, a computationally intense form of machine learning.

Researchers working toward indoor location detection
April 2017
Rice computer scientists are mapping a new solution for interior navigational location detection by linking it to existing sensors in mobile devices. Their results were presented in a paper at last month’s 2017 Design, Automation and Test in Europe Conference in Lausanne, Switzerland.

Rice, Baylor team sets new mark for ‘deep learning’
December 2016
Neuroscience and artificial intelligence experts from Rice University and Baylor College of Medicine have taken inspiration from the human brain in creating a new “deep learning” method that enables computers to learn about the visual world largely on their own, much as human babies do.

Turning textbook highlighting into time well-spent
August 2016
College students love highlighting textbook passages while they study, and a team of researchers in three states will apply the latest techniques from machine learning and cognitive science to help turn that habit into time well-spent.