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Media Contacts
![The Sycamore quantum processor. Credit: Erik Lucero/Google](/sites/default/files/styles/list_page_thumbnail/public/2019-10/Google_AI_Quantum_Sycamore_Erik_Lucero.png?h=4a7d1ed4&itok=MKR_1dTp)
A joint research team from Google Inc., NASA Ames Research Center, and the Department of Energy’s Oak Ridge National Laboratory has demonstrated that a quantum computer can outperform a classical computer
![Representatives from The University of Toledo and the U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL) in Tennessee are teaming up to conduct collaborative automotive materials research.” Credit: University of Toledo](/sites/default/files/styles/list_page_thumbnail/public/2019-10/Oak%20Ridge%20Nat%20Lab%20group%20photo_0.jpeg?h=1e7f2295&itok=pITK15-V)
ORNL and The University of Toledo have entered into a memorandum of understanding for collaborative research.
![Snapshot of total temperature distribution at supersonic speed of mach 2.4. Total temperature allows the team to visualize the extent of the exhaust plumes as the temperature of the plumes is much greater than that of the surrounding atmosphere. Credit: NASA](/sites/default/files/styles/list_page_thumbnail/public/2019-10/srp%20%282%29_0.png?h=acf3b215&itok=Z3C6l3YP)
The type of vehicle that will carry people to the Red Planet is shaping up to be “like a two-story house you’re trying to land on another planet.
![Summit supercomputer](/sites/default/files/styles/list_page_thumbnail/public/2019-09/42957291821_d77b1c6051_o_0.jpg?h=b241dec4&itok=K_s_UmII)
Processes like manufacturing aircraft parts, analyzing data from doctors’ notes and identifying national security threats may seem unrelated, but at the U.S. Department of Energy’s Oak Ridge National Laboratory, artificial intelligence is improving all of these tasks.
![quantum mechanics to advance a range of technologies including computing, fiber optics and network communication](/sites/default/files/styles/list_page_thumbnail/public/2019-09/2017-P08412_0.jpg?h=b6236d98&itok=ecQNon31)
Three researchers at Oak Ridge National Laboratory will lead or participate in collaborative research projects aimed at harnessing the power of quantum mechanics to advance a range of technologies including computing, fiber optics and network
![Project bridges compute staff, resources at ORNL and VA health data to speed suicide risk screening for US veterans. Image Credit: Carlos Jones, ORNL](/sites/default/files/styles/list_page_thumbnail/public/2019-08/VA_REACHVET1%5B6%5D_0.jpg?h=173ee000&itok=-eA5t15j)
In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.
![Layering on the strength](/sites/default/files/styles/list_page_thumbnail/public/2019-09/Z-pinning-printed%20wall_ORNL-2_0.png?h=c8a62123&itok=EnqQdQih)
A team including Oak Ridge National Laboratory and University of Tennessee researchers demonstrated a novel 3D printing approach called Z-pinning that can increase the material’s strength and toughness by more than three and a half times compared to conventional additive manufacturing processes.
![Project bridges compute staff, resources at ORNL and VA health data to speed suicide risk screening for US veterans. Image Credit: Carlos Jones, ORNL](/sites/default/files/styles/list_page_thumbnail/public/2019-08/VA_REACHVET1%5B6%5D_0.jpg?h=173ee000&itok=-eA5t15j)
More than 6,000 veterans died by suicide in 2016, and from 2005 to 2016, the rate of veteran suicides in the United States increased by more than 25 percent.
![Edmon Begoli](/sites/default/files/styles/list_page_thumbnail/public/2019-08/2017-P04474.png?h=4b95bb49&itok=1YkLx9Jz)
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.
![International Conference on Neuromorphic Systems (ICONS)](/sites/default/files/styles/list_page_thumbnail/public/2019-08/logo_no_text.png?h=2c1ce78b&itok=xm-saFEM)
Materials scientists, electrical engineers, computer scientists, and other members of the neuromorphic computing community from industry, academia, and government agencies gathered in downtown Knoxville July 23–25 to talk about what comes next in