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Media Contacts
![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. 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.](/sites/default/files/styles/list_page_thumbnail/public/news/images/RAvENNA%20release%20pic.png?itok=2bDpK5Mo)
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
![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 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](/sites/default/files/styles/list_page_thumbnail/public/01%201%20-%20Impacts%20r1.jpg?itok=D1FzgK0y)
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...
![Methanotroph_OB3b_cells Methanotroph_OB3b_cells](/sites/default/files/styles/list_page_thumbnail/public/Methanotroph_OB3b_cells_2.jpg?itok=Iml9vTIS)
A team led by the Department of Energy’s Oak Ridge National Laboratory has identified a novel microbial process that can break down toxic methylmercury in the environment, a fundamental scientific discovery that could potentially reduce mercury toxicity levels and sup...
![By wet-sieving stream sediment, (from left) Oak Ridge National Laboratory’s Kenneth Lowe, Melanie Mayes and John Dickson sort sediment into different particle size in this stream near Rocky Top. By wet-sieving stream sediment, (from left) Oak Ridge National Laboratory’s Kenneth Lowe, Melanie Mayes and John Dickson sort sediment into different particle size in this stream near Rocky Top.](/sites/default/files/styles/list_page_thumbnail/public/news/images/02%20mercury%20story%20tip.jpg?itok=wCk3MAYJ)
An Oak Ridge National Laboratory study is providing an unprecedented watershed-scale understanding of mercury in soils and sediments. Researchers focused on evaluating mercury and soil properties along the banks of a mercury-contaminated stream in Oak Ridge, Tenn., sampling 145 loca...
![Andrew King loads a gel with amplified gene fragments to detect the presence of mercury methylation genes in samples from East Fork Poplar Creek in Oak Ridge. Andrew King loads a gel with amplified gene fragments to detect the presence of mercury methylation genes in samples from East Fork Poplar Creek in Oak Ridge.](/sites/default/files/styles/list_page_thumbnail/public/news/images/Andrew_2.png?itok=ScVCkCyd)
Environmental scientists can more efficiently detect genes required to convert mercury in the environment into more toxic methylmercury with molecular probes developed by researchers at the Department of Energy’s Oak Ridge National Laboratory. “We now have a quic...