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.
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.
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.
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.