Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Ilia Valov"'
Autor:
Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabe Linares-Barranco, Sabina Spiga, Sergey Savel’ev, Alexander G. Balanov, Nitin Chawla, Giuseppe Desoli, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang, J. Joshua Yang, Syed Ghazi Sarwat, Abu Sebastian, Thomas Mikolajick, Stefan Slesazeck, Beatriz Noheda, Bernard Dieny, Tuo-Hung (Alex) Hou, Akhil Varri, Frank Brückerhoff-Plückelmann, Wolfram Pernice, Xixiang Zhang, Sebastian Pazos, Mario Lanza, Stefan Wiefels, Regina Dittmann, Wing H. Ng, Mark Buckwell, Horatio R. J. Cox, Daniel J. Mannion, Anthony J. Kenyon, Yingming Lu, Yuchao Yang, Damien Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, Piergiulio Mannocci, Yimao Cai, Zhong Sun, Giacomo Pedretti, John Paul Strachan, Dmitri Strukov, Manuel Le Gallo, Stefano Ambrogio, Ilia Valov, Rainer Waser
Publikováno v:
APL Materials, Vol 12, Iss 10, Pp 109201-109201-59 (2024)
Externí odkaz:
https://doaj.org/article/f5e2e018db184cdfa86a6be24ff6f6e6
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 10, Pp n/a-n/a (2024)
Abstract Self‐attention mechanism is critically central to the state‐of‐the‐art transformer models. Because the standard full self‐attention has quadratic complexity with respect to the input's length L, resulting in prohibitively large mem
Externí odkaz:
https://doaj.org/article/29808aeb5d76400dbe10823b154107f1
Autor:
Giuseppe Leonetti, Matteo Fretto, Fabrizio Candido Pirri, Natascia De Leo, Ilia Valov, Gianluca Milano
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Memristive devices that rely on redox-based resistive switching mechanism have attracted great attention for the development of next-generation memory and computing architectures. However, a detailed understanding of the relationship between
Externí odkaz:
https://doaj.org/article/8fcc833c35d941b794df732898a3325c
Autor:
Yuchao Yang, Ilia Valov
Publikováno v:
Advanced Intelligent Systems, Vol 4, Iss 8, Pp n/a-n/a (2022)
Externí odkaz:
https://doaj.org/article/f05eaf0341ff463196802cd6f4b52eda
Publikováno v:
Neuromorphic Computing and Engineering, Vol 3, Iss 2, p 024010 (2023)
Electrochemical metallization (ECM) cells are based on the principle of voltage controlled formation or dissolution of a nanometer-thin metallic conductive filament (CF) between two electrodes separated by an insulating material, e.g. an oxide. The l
Externí odkaz:
https://doaj.org/article/c61c292d09dd4aa9b1e5de1909fcbfbd
Publikováno v:
Neuromorphic Computing and Engineering, Vol 3, Iss 1, p 010201 (2023)
Externí odkaz:
https://doaj.org/article/57ae8126ee7e4b2faf856062d6eb541b
Autor:
Gianluca Milano, Michael Luebben, Zheng Ma, Rafal Dunin-Borkowski, Luca Boarino, Candido F. Pirri, Rainer Waser, Carlo Ricciardi, Ilia Valov
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
Memristors have become an emerging technology capable in emulating human brain information processing, but understanding and controlling the switching mechanism remains elusive. Here, Milano et al. combine memristive and neuromorphic functionalities
Externí odkaz:
https://doaj.org/article/368b8c1c9b7f40c180df696aa14c941f
Autor:
Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi
Publikováno v:
Advanced Intelligent Systems, Vol 2, Iss 8, Pp n/a-n/a (2020)
Acting as artificial synapses, two‐terminal memristive devices are considered fundamental building blocks for the realization of artificial neural networks. Current memristive crossbar architectures demonstrate the implementation of neuromorphic co
Externí odkaz:
https://doaj.org/article/d955f1924f2343cfa39bb8854cb0513e
Publikováno v:
ACS Applied Materials & Interfaces. 15:18528-18536
Autor:
Giuseppe Leonetti, Matteo Fretto, Katarzyna Bejtka, Elena Sonia Olivetti, Fabrizio Candido Pirri, Natascia De Leo, Ilia Valov, Gianluca Milano
Publikováno v:
Physical Chemistry Chemical Physics. 25:14766-14777
Performances of bipolar Au/NbOx/Nb devices were investigated by correlating the material properties of electrochemically grown NbOx with resistive switching functionalities.