Zobrazeno 1 - 10
of 281
pro vyhledávání: '"Wright, C David"'
Autor:
Yang, Guoce, Wang, Mengyun, Lee, June Sang, Farmakidis, Nikolaos, Shields, Joe, de Galarreta, Carlota Ruiz, Kendall, Stuart, Bertolotti, Jacopo, Moskalenko, Andriy, Huang, Kairan, Alù, Andrea, Wright, C. David, Bhaskaran, Harish
The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing. These requirements are driving the development of computing metasurfaces to real
Externí odkaz:
http://arxiv.org/abs/2409.10976
Autor:
Brückerhoff-Plückelmann, Frank, Borras, Hendrik, Klein, Bernhard, Varri, Akhil, Becker, Marlon, Dijkstra, Jelle, Brückerhoff, Martin, Wright, C. David, Salinga, Martin, Bhaskaran, Harish, Risse, Benjamin, Fröning, Holger, Pernice, Wolfram
Biological neural networks effortlessly tackle complex computational problems and excel at predicting outcomes from noisy, incomplete data, a task that poses significant challenges to traditional processors. Artificial neural networks (ANNs), inspire
Externí odkaz:
http://arxiv.org/abs/2401.17915
Autor:
Lugnan, Alessio, Aggarwal, Samarth, Brückerhoff-Plückelmann, Frank, Wright, C. David, Pernice, Wolfram H. P., Bhaskaran, Harish, Bienstman, Peter
Plastic self-adaptation, nonlinear recurrent dynamics and multi-scale memory are desired features in hardware implementations of neural networks, because they enable them to learn, adapt and process information similarly to the way biological brains
Externí odkaz:
http://arxiv.org/abs/2312.03802
Autor:
Zhou, Wen, Dong, Bowei, Farmakidis, Nikolaos, Li, Xuan, Youngblood, Nathan, Huang, Kairan, He, Yuhan, Wright, C. David, Pernice, Wolfram H. P., Bhaskaran, Harish
Electronically reprogrammable photonic circuits based on phase-change chalcogenides present an avenue to resolve the von-Neumann bottleneck; however, implementation of such hybrid photonic-electronic processing has not achieved computational success.
Externí odkaz:
http://arxiv.org/abs/2304.14302
Autor:
de Galarreta, Carlota Ruiz, Casquero, Noemi, Humphreys, Euan, Bertolotti, Jacopo, Solis, Javier, Wright, C. David, Siegel, Jan
Plasmonic metasurfaces based on the extraordinary optical transmission effect (EOT) can be designed to efficiently transmit specific spectral bands from the visible to the far-infrared regimes, offering numerous applications in im-portant technologic
Externí odkaz:
http://arxiv.org/abs/2109.14983
Neural processing on devices and circuits is fast becoming a popular approach to emulate biological neural networks. Elaborate CMOS and memristive technologies have been employed to achieve this, including chalcogenide-based in-memory computing conce
Externí odkaz:
http://arxiv.org/abs/2107.00915
Autor:
Tan, James Y. S., Cheng, Zengguang, Feldmann, Johannes, Li, Xuan, Youngblood, Nathan, Ali, Utku E., Wright, C. David, Pernice, Wolfram H. P., Bhaskaran, Harish
Publikováno v:
Optica, Volume 9, Issue 7, pp. 792-802 (2022)
Over a century ago, Ivan P. Pavlov, in a classic experiment, demonstrated how dogs can learn to associate a ringing bell with food, thereby causing a ring to result in salivation. Today, it is rare to find the use of Pavlovian type associative learni
Externí odkaz:
http://arxiv.org/abs/2011.14709
Autor:
Shastri, Bhavin J., Tait, Alexander N., de Lima, Thomas Ferreira, Pernice, Wolfram H. P., Bhaskaran, Harish, Wright, C. David, Prucnal, Paul R.
Publikováno v:
Nature Photonics 15, 102-114 (2021)
Research in photonic computing has flourished due to the proliferation of optoelectronic components on photonic integration platforms. Photonic integrated circuits have enabled ultrafast artificial neural networks, providing a framework for a new cla
Externí odkaz:
http://arxiv.org/abs/2011.00111
We present the first demonstration of an integrated photonic phase-change memory using GeSbTe-225 on silicon-on-insulator and demonstrate reliable multilevel operation with a single programming pulse. We also compare our results on silicon with previ
Externí odkaz:
http://arxiv.org/abs/1904.12740
Autor:
de Galarreta, Carlota Ruiz, Sinev, Ivan, Alexeev, Arseny M., Trofimov, Pavel, Ladutenko, Konstantin, Carrillo, Santiago Garcia-Cuevas, Gemo, Emanuele, Baldycheva, Anna, Nagareddy, V. Karthik, Bertolotti, Jacopo, Wright, C. David
All-dielectric metasurfaces consisting of arrays of nanostructured high-refractive-index materials, typically Si, are re-writing what is achievable in terms of the manipulation of light. Such devices support very strong magnetic, as well as electric,
Externí odkaz:
http://arxiv.org/abs/1901.04955