Zobrazeno 1 - 9
of 9
pro vyhledávání: '"David P. Widemann"'
Autor:
Qinru Qiu, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Amar Shrestha, Adam Moody, Brian Van Essen
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8:782-795
Due to the distributed and asynchronous nature of neural computation through low-energy spikes, brain-inspired hardware systems offer high energy efficiency and massive parallelism. One such platform is the IBM TrueNorth neurosynaptic system. Recentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f32955f31c0febf5eda63226349593ba
https://doi.org/10.1109/jetcas.2018.2856117
https://doi.org/10.1109/jetcas.2018.2856117
Publikováno v:
Journal of Computational Physics. 451:110841
Traditional linear subspace reduced order models (LS-ROMs) are able to accelerate physical simulations in which the intrinsic solution space falls into a subspace with a small dimension, i.e., the solution space has a small Kolmogorov n-width. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61c2d5d3bdba71d1b16014ef248872a0
https://doi.org/10.1016/j.jcp.2021.110841
https://doi.org/10.1016/j.jcp.2021.110841
Autor:
David P. Widemann, André R. Gonçalves, Jan F. Nygård, Braden Soper, Ana Paula Sales, Mari Nygård, Priyadip Ray
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 11, p e0241225 (2020)
PLoS ONE, Vol 15, Iss 11, p e0241225 (2020)
Oncology is a highly siloed field of research in which sub-disciplinary specialization has limited the amount of information shared between researchers of distinct cancer types. This can be attributed to legitimate differences in the physiology and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f21ded863d04519ea3b9bf504d75195
https://doi.org/10.1371/journal.pone.0241225
https://doi.org/10.1371/journal.pone.0241225
Autor:
Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu
Publikováno v:
2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3298c2d042f398481960c179473a2c40
https://doi.org/10.1109/iccad.2017.8203836
https://doi.org/10.1109/iccad.2017.8203836
Publikováno v:
IJCNN
The problems of Artificial intelligence (AI) naturally maps to NP-hard optimization problems. This trend has significance to achieve human-level computation capability from machines. This computational ability can be achieved by developing evolutiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c109ec28395ff89ab2d2bfb24978cbf2
https://doi.org/10.1109/ijcnn.2017.7966350
https://doi.org/10.1109/ijcnn.2017.7966350
Publikováno v:
IJCNN
Image features can be learned and subsequently used for reconstruction and classification tasks in the fields of machine learning and computer vision. In this work, we propose image reconstruction using Convolutional Sparse Coding (CSC) on IBM's True
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9d934c76a6379d56e4c4567e5097cbe
https://doi.org/10.1109/ijcnn.2017.7966310
https://doi.org/10.1109/ijcnn.2017.7966310
Autor:
Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael V. Debole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir, John V. Arthur, Alexander Andreopoulos, Rathinakumar Appuswamy, Heinz Baier, Davis Barch, David J. Berg, Carmelo Di Nolfo, Steven K. Esser, Myron Flickner, Thomas A. Horvath, Bryan L. Jackson, Jeff Kusnitz, Scott Lekuch, Michael Mastro, Timothy Melano, Paul A. Merolla, Steven E. Millman, Tapan K. Nayak, Norm Pass, Hartmut E. Penner, William P. Risk, Kai Schleupen, Benjamin Shaw, Hayley Wu, Brian Giera, Adam T. Moody, Nathan Mundhenk, Brian C. Van Essen, Eric X. Wang, David P. Widemann, Qing Wu, William E. Murphy, Jamie K. Infantolino, James A. Ross, Dale R. Shires, Manuel M. Vindiola, Raju Namburu, Dharmendra S. Modha
Publikováno v:
SC16: International Conference for High Performance Computing, Networking, Storage and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eb353a85553254286eef8f2d979b3c7
https://doi.org/10.1109/sc.2016.11
https://doi.org/10.1109/sc.2016.11
We present a novel Recoverable Order-Preserving Embedding (ROPE) of natural language. ROPE maps natural language passages from sparse concatenated one-hot representations to distributed vector representations of predetermined fixed length. We use Euc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76099600c80de3079179366a42f889bd
https://doi.org/10.2172/1239214
https://doi.org/10.2172/1239214
