The convergence of artificial intelligence, cloud, and high-performance computing to accelerate scientific discovery is the focus of a multi-year collaboration between Microsoft and PNNL.
PNNL has created the Center for AI @PNNL to coordinate the pioneering research of hundreds of scientists working on a range of projects in artificial intelligence.
Using public data from the entire 1,500-square-mile Los Angeles metropolitan area, PNNL researchers reduced the time needed to create a traffic congestion model by an order of magnitude, from hours to minutes.
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.
High performance computing researcher Shuaiwen Leon Song asked if hardware called 3D stacked memory could do something it was never designed to do — help render 3D graphics.
When water comes in for a landing on the common catalyst titanium oxide, it splits into hydroxyls just under half the time. Water's oxygen and hydrogen atoms shift back and forth between existing as water or hydroxyls, and water has the sli
Pointing the finger at chemical criminals: Several scientists from PNNL and other institutions will discuss new methods and approaches at the American Chemical Society's national meeting in San Francisco April 2-6.
Nuisance alarm rates in radiation detectors at seaports and ports of entry are down significantly due to PNNL data analysis efforts that are saving time and money at the ports.