Synaptic Weight Modulation and Logic Function Learning with Electro-grafted Nano Organic Memristors

Autor: Lin, Y-P, Bennett, C, Chabi, D, Vodenicarevic, D, Querlioz, D, Cabaret, T, Balan, A, Jousselme, B, Gamrat, C, Klein, J-O, Derycke, V

Publikováno v: Nanotech France 2016
Nanotech France 2016, Jun 2016, Paris, France

International audience; Neuromorphic computing has gained important attention since it is an efficient way to handle advanced cognitive tasks such as image recognition and classification. Hardware implementation of an artificial neural network (ANN)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5105c1200aaaafc1e875e62f8b8df9e6
https://hal-cea.archives-ouvertes.fr/cea-02346364

Development of bioluminescent Group B streptococcal strains for longitudinal infection studies.

Autor: Lorga, Inês^1,2 (AUTHOR), Geraldo, Rafaela^1,3 (AUTHOR), Soares, Joana² (AUTHOR), Oliveira, Liliana² (AUTHOR), Firon, Arnaud⁴ (AUTHOR), Bonifácio Andrade, Elva^1,2,5 (AUTHOR) elva.andrade@ibmc.up.pt

Publikováno v: Scientific Reports. 10/18/2024, Vol. 14 Issue 1, p1-13. 13p.

Function Learning with Carbon Nanotube-based Synapses

Autor: Derycke, V., Gacem, K, Retrouvey, J-M, Chabi, D, Agnus, G., Brunel, D., Cabaret, T., Fillaud, L., Segut, O., Filoramo, A., Zhao, W, Gamrat, C, Jousselme, B, Klein, J-O

Publikováno v: Nano and Giga Challenges in Electronics, Photonics and Renewable Energy
Nano and Giga Challenges in Electronics, Photonics and Renewable Energy, Mar 2014, Tempe, United States

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2107e9953462dd425b079c4d9e19ff2f
https://cea.hal.science/cea-02362633/document

Magnetic domain-wall racetrack memory for high density and fast data storage

Autor: Zhao, W. S., Zhang, Y., Trinh, H. -P, Klein, J. -O, Chappert, C., Mantovan, R., Lamperti, A., Cowburn, R. P., Trypiniotis, Theodossis, Klaui, M., Heinen, J., Ocker, B., Ravelosona, D.

Publikováno v: IEEE 11th International Conference on Solid-State and Integrated Circuit Technology (2012). doi:10.1109/ICSICT.2012.6466687
info:cnr-pdr/source/autori:W.S. Zhao1, 2, Y. Zhang1,2, H-P Trinh1,2, J-O Klein1, 2, C. Chappert1, 2, R. Mantovan3, A. Lamperti3, R.P. Cowburn4, T. Trypiniotis4, M. Klaui5, J. Heinen5, B. Ocker6, D.Ravelosona1, 2/titolo:Magnetic domain-wall racetrack memory for high density and fast data storage/doi:10.1109%2FICSICT.2012.6466687/rivista:IEEE 11th International Conference on Solid-State and Integrated Circuit Technology/anno:2012/pagina_da:/pagina_a:/intervallo_pagine:/volume
ICSICT 2012-2012 IEEE 11th International Conference on Solid-State and Integrated Circuit Technology, Proceedings
2012 IEEE 11th International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2012

The racetrack memory device is a new concept of Magnetic RAM (MRAM) based on controlling domain wall (DW) motion in ferromagnetic nanowires. It promises ultra-high storage density thanks to the possibility to store multiple narrow DWS per memory cell

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edf5885ab07c3135c20eea4b89c0e877
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6466687

Low power image processing: analog versus digital comparison.

Autor: Klein, J.-O., Lacassagne, L., Mathias, H., Moutault, S., Dupret, A.

Publikováno v: Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05); 2005, p111-115, 5p