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ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system.

A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the

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.
Inspired by the brain’s web of neurons, deep neural networks consist of thousands or millions of simple computational units.

Deep neural networks—a form of artificial intelligence—have demonstrated mastery of tasks once thought uniquely human. Their triumphs have ranged from identifying animals in images, to recognizing human speech, to winning complex strategy games, among other su...

The Department of Energy’s INCITE program promotes transformational advances in science and technology through large allocations of time on state-of-the-art supercomputers.

The U.S. Department of Energy’s Office of Science announced 55 projects with high potential for accelerating discovery through its Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The projects will share 5.95 billion core-hours on t...

When a neutron star forms, compression creates heat that generates neutrinos. When the star’s core collapses, a shock wave propagates around the star but stalls. Credit: ORNL, U.S. Dept. of Energy; created by J.A. Harris.

The Big Bang began the formation and organization of the matter that makes up ourselves and our world. Nearly 14 billion years later, nuclear physicists at the Department of Energy’s Oak Ridge National Laboratory (ORNL) and their partners are using America’s most powerful supercomp...

conventional sedan

It’s common knowledge that driving aggressively can dent gas mileage, but it’s difficult to determine exactly how much gas drivers waste. A new study by researchers at the Department of Energy’s Oak Ridge National Laboratory has quantified the impact speeding and slamming on the brakes has on fuel economy and consumption. They found that aggressive behavior behind the wheel can lower gas mileage in light-duty vehicles by about 10 to 40 percent in stop-and-go traffic and roughly 15 to 30 percent at highway speeds. This can equate to losing about $0.25 to $1 per gallon.

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...

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.