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![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.
![ORNL researchers Gautam Thakur (left) and Teja Kuruganti demonstrate UrbanSense, a novel sensor network aimed at helping cities manage their growth and evaluate future development opportunities. The platform collects open-source population, traffic and en ORNL researchers Gautam Thakur (left) and Teja Kuruganti demonstrate UrbanSense, a novel sensor network aimed at helping cities manage their growth and evaluate future development opportunities. The platform collects open-source population, traffic and en](/sites/default/files/styles/list_page_thumbnail/public/UrbanSense-2.jpg?itok=Yo9oZFmp)
Researchers at the Department of Energy’s Oak Ridge National Laboratory are partnering with the city of Oak Ridge to develop UrbanSense, a comprehensive sensor network and real-time visualization platform that helps cities evaluate trends in urban
![ORNL’s Pavel Lougovski (left) and Raphael Pooser will lead research teams working to advance quantum computing for scientific applications. ORNL’s Pavel Lougovski (left) and Raphael Pooser will lead research teams working to advance quantum computing for scientific applications.](/sites/default/files/styles/list_page_thumbnail/public/news/images/Jones_10-17-17.png?itok=SGYxFLaA)