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An example of a spiking neural network shows how data can be classified using the neuromorphic device. Credit: Catherine Schuman and Margaret Drouhard/Oak Ridge National Laboratory, U.S. Dept. of Energy
For smarter data management and analysis, researchers have developed a low-power neuromorphic device based on spiking neural networks that can quickly and more efficiently analyze and classify data.
An ORNL-led team developed a variable control mechanism to enable precision de-icing on urban roads, using roadway data from the City of Knoxville in Tennessee. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy

A precision approach to treating snow- and ice-covered roads, developed by an Oak Ridge National Laboratory-led research team, aims to help cities effectively allocate resources and expand coverage on roadways. The combined software and hardware technology analyzes existing city data and uses high-resolution modeling to identify areas most vulnerable to drivers during hazardous weather conditions.

As hurricanes formed in the Gulf Coast, ORNL activated a computing technique to quickly gather building structure data from Texas’ coastal counties. Credit: Mark Tuttle/Oak Ridge National Laboratory, U.S. Dept. of Energy

Geospatial scientists at Oak Ridge National Laboratory have developed a novel method to quickly gather building structure datasets that support emergency response teams assessing properties damaged by Hurricanes Harvey and Irma. By coupling deep learning with high-performance comp...

Arjun Shankar

The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...

Scientists will use ORNL’s computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy.

A team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis. The Advances in Machine Learning to Improve Scient...

An existing Qubitekk prototype will leverage ORNL’s single-photon source approach, bringing the device closer to generating pairs of quantum light particles in a controlled, deterministic manner that is useful for quantum encryption. Image by Qubitekk.
Qubitekk has non-exclusively licensed an Oak Ridge National Laboratory-developed method to produce quantum light particles, known as photons, in a controlled, deterministic manner that promises improved speed and security when sharing encrypted data. Current encr...
Left to right: ORNL’s Derek Rose, Matthew Eicholtz, Philip Bingham, Ryan Kerekes, Shaun Gleason
In the quest to better understand and cure childhood diseases, scientists at St. Jude Children’s Research Hospital accumulate enormous amounts of data from powerful video microscopes. To help St. Jude scientists mine that trove of data, researchers at Oak Ridge National Laboratory hav...
VA_healthcare_dataset
Oak Ridge National Laboratory has partnered with the Department of Veterans Affairs to develop methods and algorithms to mine the VA’s health data more efficiently. The resulting novel, secure platform promises to improve the health and wellbeing of millions of veterans through better understanding of underlying causes of diseases and conditions, hereditary factors and health history.
ORNL_iESM_model

A new integrated computational model reduces uncertainty in climate predictions by bridging Earth systems with energy and economic models and large-scale human impact data. Co-developed by Oak Ridge National Laboratory, the novel integrated Earth system model, or iESM, leverages the power of supercomputers, including ORNL’s Titan, to couple biospheric feedbacks from oceans, atmosphere and land with human activity, such as fossil fuel emissions, agriculture and land use.

Bredesen Center Director Lee Riedinger, from left, University of Tennessee, Knoxville Vice Provost and Dean of the Graduate School Dixie Thompson, former Tennessee Gov. Phil Bredesen, and UT Knoxville Chancellor Beverly Davenport gather together as the sc
The Tennessee Higher Education Commission has approved a new doctoral program in data science and engineering as part of the Bredesen Center for Interdisciplinary Research and Graduate Education. The Bredesen Center unites resources and capabilities from the Universi...