Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Hicks, Damien"'
11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks
Autor:
Xu, Xingyuan, Tan, Mengxi, Corcoran, Bill, Wu, Jiayang, Boes, Andreas, Nguyen, Thach G., Chu, Sai T., Little, Brent E., Hicks, Damien G., Morandotti, Roberto, Mitchell, Arnan, Moss, David J.
Publikováno v:
Nature, Volume 589 Issue 7840. pages 44-51 (2021)
Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to greatly reduce the network parametric complexity and e
Externí odkaz:
http://arxiv.org/abs/2011.07393
Autor:
Xu, Xingyuan, Tan, Mengxi, Corcoran, Bill, Wu, Jiayang, Nguyen, Thach G., Boes, Andreas, Chu, Sai T., Little, Brent E., Morandotti, Roberto, Mitchell, Arnan, Hicks, Damien G., Moss, David J.
Optical artificial neural networks (ONNs), analog computing hardware tailored for machine learning, have significant potential for ultra-high computing speed and energy efficiency. We propose a new approach to architectures for ONNs based on integrat
Externí odkaz:
http://arxiv.org/abs/2003.01347
Autor:
Speed, Terence P., Hicks, Damien G.
Publikováno v:
In Journal of Multivariate Analysis March 2022 188
Autor:
Brygoo, Stephanie, Millot, Marius, Loubeyre, Paul, Lazicki, Amy E., Hamel, Sebastien, Qi, Tingting, Celliers, Peter M., Coppari, Federica, Eggert, Jon H., Fratanduono, Dayne E., Hicks, Damien G., Rygg, J. Ryan, Smith, Raymond F., Swift, Damian C., Collins, Gilbert W., Jeanloz, Raymond
Publikováno v:
J. Appl. Phys. 118, 195901 (2015)
Megabar (1 Mbar = 100 GPa) laser shocks on precompressed samples allow reaching unprecedented high densities and moderately high 10000-100000K temperatures. We describe here a complete analysis framework for the velocimetry (VISAR) and pyrometry (SOP
Externí odkaz:
http://arxiv.org/abs/1510.03301
Autor:
Csordas, Attila, Sipos, Botond, Kurucova, Terezia, Volfova, Andrea, Zamola, Frantisek, Tichy, Boris, Hicks, Damien G
Publikováno v:
GeroScience; Jun2024, Vol. 46 Issue 3, p3005-3019, 15p
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 1999.
Includes bibliographical references (p. 143-146).
by Damien G. Hicks.
Ph.D.
Includes bibliographical references (p. 143-146).
by Damien G. Hicks.
Ph.D.
Externí odkaz:
http://hdl.handle.net/1721.1/85274
Autor:
Swift, Damian, Eggert, Jon, Hicks, Damien, Hamel, Sebastien, Caspersen, Kyle, Schwegler, Eric, Collins, Gilbert, Nettelmann, Nadine, Ackland, Graeme
Publikováno v:
ApJ, 744, 59 (2012)
For planets other than Earth, interpretation of the composition and structure depends largely on comparing the mass and radius with the composition expected given their distance from the parent star. The composition implies a mass-radius relation whi
Externí odkaz:
http://arxiv.org/abs/1001.4851
Autor:
Swift, Damian C., Kraus, Richard G., Loomis, Eric, Hicks, Damien G., McNaney, James M., Johnson, Randall P.
Publikováno v:
Physical Review E, vol 78, 066115 (2008)
We derive expressions for shock formation based on the local curvature of the flow characteristics during dynamic compression. Given a specific ramp adiabat, calculated for instance from the equation of state for a substance, the ideal nonlinear shap
Externí odkaz:
http://arxiv.org/abs/0806.0059
Autor:
Evertz, Rick1,2 (AUTHOR) revertz@swin.edu.au, Hicks, Damien G.1,2,3 (AUTHOR) revertz@swin.edu.au, Liley, David T. J.4 (AUTHOR) revertz@swin.edu.au
Publikováno v:
PLoS Computational Biology. 4/15/2022, Vol. 18 Issue 4, p1-30. 30p. 7 Graphs.
Akademický článek
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