![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 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](/sites/default/files/styles/list_page_thumbnail/public/Spiking_neural_network_ORNL_2.jpg?itok=CN68Ze_4)
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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 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](/sites/default/files/styles/list_page_thumbnail/public/Spiking_neural_network_ORNL_2.jpg?itok=CN68Ze_4)
![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 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](/sites/default/files/styles/list_page_thumbnail/public/01%20Weather-Precision_de-icing.jpg?itok=LOLom0Il)
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.
![Inspired by the brain’s web of neurons, deep neural networks consist of thousands or millions of simple computational units. Inspired by the brain’s web of neurons, deep neural networks consist of thousands or millions of simple computational units.](/sites/default/files/styles/list_page_thumbnail/public/news/images/iStock_Patton.jpg?itok=-_7cCRH4)
Deep neural networks—a form of artificial intelligence—have demonstrated mastery of tasks once thought uniquely human.
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been elected fellows of the American Association for the Advancement of Science (AAAS). AAAS, the world’s largest multidisciplinary scientific society
![David Womble has been slated to lead ORNL’s artificial intelligence effort. David Womble has been slated to lead ORNL’s artificial intelligence effort.](/sites/default/files/styles/list_page_thumbnail/public/womble%5B1%5D%20r2.jpg?itok=CdbhVK26)
The Department of Energy’s Oak Ridge National Laboratory has hired high-performance computing leader David Womble to direct its artificial intelligence (AI) efforts. Womble began as AI Program Director on October 30.
![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 Department of Energy’s INCITE program promotes transformational advances in science and technology through large allocations of time on state-of-the-art supercomputers.](/sites/default/files/styles/list_page_thumbnail/public/news/images/incite_awards_headline.png?itok=o-UFMiIC)
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.
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
![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.
![ORNL Image](/sites/default/files/styles/list_page_thumbnail/public/2017-P00683.jpg?itok=PB3a9of4)
ORNL is proud of its role in fostering the next generation of scientists and engineers. We bring in talented young researchers, team them with accomplished scientists and engineers, and put them to work at the lab’s one-of-a-kind facilities.