Search Results - "Johnston, J. Travis"

167-PFlops Deep Learning for Electron Microscopy: From Learning Physics to Atomic Manipulation by Patton, Robert M., Johnston, J. Travis, Young, Steven R., Schuman, Catherine D., March, Don D., Potok, Thomas E., Rose, Derek C., Lim, Seung-Hwan, Karnowski, Thomas P., Ziatdinov, Maxim A., Kalinin, Sergei V.

“…An artificial intelligence system called MENNDL, which used 25,200 NVIDIA Volta GPUs on Oak Ridge National Laboratory's Summit machine, automatically designed…”
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Turán Problems on Non-Uniform Hypergraphs by Johnston, J. Travis, Lu, Linyuan

“…A non-uniform hypergraph $H=(V,E)$ consists of a vertex set $V$ and an edge set $E\subseteq 2^V$; the edges in $E$ are not required to all have the same…”
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Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems by Schuman, Catherine D., Parker Mitchell, J., Johnston, J. Travis, Parsa, Maryam, Kay, Bill, Date, Prasanna, Patton, Robert M.

“…Though robustness and resilience are commonly quoted as features of neuromorphic computing systems, the expected performance of neuromorphic systems in the…”
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Vibrational properties of ferroelectric β -vinylidene fluoride polymers and oligomers by Nakhmanson, Serge M., Korlacki, R., Johnston, J. Travis, Ducharme, Stephen, Ge, Zhongxin, Takacs, James M.

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Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency by Schuman, Catherine D., Young, Steven R., Mitchell, J. Parker, Johnston, J. Travis, Rose, Derek, Maldonado, Bryan P., Kaul, Brian C.

“…Neuromorphic computing offers one path forward for AI at the edge. However, accessing and effectively utilizing a neuromorphic hardware platform is…”
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Exascale Deep Learning to Accelerate Cancer Research by Patton, Robert M., Johnston, J. Travis, Young, Steven R., Schuman, Catherine D., Potok, Thomas E., Rose, Derek C., Lim, Seung-Hwan, Chae, Junghoon, Hou, Le, Abousamra, Shahira, Samaras, Dimitris, Saltz, Joel

“…Deep learning, through the use of neural networks, has demonstrated remarkable ability to automate many routine tasks when presented with sufficient data for…”
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Evolving Energy Efficient Convolutional Neural Networks by Young, Steven R., Devineni, Pravallika, Parsa, Maryam, Johnston, J. Travis, Kay, Bill, Patton, Robert M., Schuman, Catherine D., Rose, Derek C., Potok, Thomas E.

“…As deep neural networks have been deployed in more and more applications over the past half decade and are finding their way into an ever increasing number of…”
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Visualization System for Evolutionary Neural Networks for Deep Learning by Chae, Junghoon, Schuman, Catherine D., Young, Steven R., Johnston, J. Travis, Rose, Derek C., Patton, Robert M., Potok, Thomas E.

“…Deep learning is actively used in a wide range of fields for scientific discovery. To effectively apply deep learning to a particular problem, it is important…”
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Exascale Deep Learning to Accelerate Cancer Research by Patton, Robert M, Johnston, J. Travis, Young, Steven R, Schuman, Catherine D, Potok, Thomas E, Rose, Derek C, Lim, Seung-Hwan, Chae, Junghoon, Hou, Le, Abousamra, Shahira, Samaras, Dimitris, Saltz, Joel

“…Deep learning, through the use of neural networks, has demonstrated remarkable ability to automate many routine tasks when presented with sufficient data for…”
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