Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Tommaso Zanotti"'
Autor:
Daniela Gandolfi, Lorenzo Benatti, Tommaso Zanotti, Giulia M. Boiani, Albertino Bigiani, Francesco M. Puglisi, Jonathan Mapelli
Publikováno v:
Intelligent Computing, Vol 3 (2024)
The advent of neuromorphic electronics is increasingly revolutionizing the concept of computation. In the last decade, several studies have shown how materials, architectures, and neuromorphic devices can be leveraged to achieve brain-like computatio
Externí odkaz:
https://doaj.org/article/ad5047fdf2a04a6c9ed89568569dee65
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 8, Pp 757-764 (2020)
Low-power smart devices are becoming pervasive in our world. Thus, relevant research efforts are directed to the development of innovative low power computing solutions that enable in-memory computations of logic-operations, thus avoiding the von Neu
Externí odkaz:
https://doaj.org/article/2442bf913a854e8388d68b8045ab3673
Publikováno v:
Micromachines, Vol 12, Iss 10, p 1243 (2021)
Logic-in-memory (LIM) circuits based on the material implication logic (IMPLY) and resistive random access memory (RRAM) technologies are a candidate solution for the development of ultra-low power non-von Neumann computing architectures. Such archit
Externí odkaz:
https://doaj.org/article/6a2dd6d171014da3849b6cc9158cbb06
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 11, Iss 3, p 29 (2021)
Different in-memory computing paradigms enabled by emerging non-volatile memory technologies are promising solutions for the development of ultra-low-power hardware for edge computing. Among these, SIMPLY, a smart logic-in-memory architecture, provid
Externí odkaz:
https://doaj.org/article/c456e3c2adf64c689659cea8f0ba1b87
Autor:
Sebastian Pazos, Wenwen Zheng, Tommaso Zanotti, Fernando Aguirre, Thales Becker, Yaqing Shen, Kaichen Zhu, Yue Yuan, Gilson Wirth, Francesco Maria Puglisi, Juan Bautista Roldán, Felix Palumbo, Mario Lanza
Publikováno v:
Nanoscale. 15:2171-2180
The development of the internet-of-things requires cheap, light, small and reliable true random number generator (TRNG) circuits to encrypt the data—generated by objects or humans—before transmitting them. However, all current solutions consume t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1029b10dc6bb1e705a1689996f95cc9d
https://doi.org/10.1039/d2nr06222d
https://doi.org/10.1039/d2nr06222d
Publikováno v:
ESSDERC 2022 - IEEE 52nd European Solid-State Device Research Conference (ESSDERC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d715fa1867a09515c885a8a573af9f5
https://doi.org/10.1109/essderc55479.2022.9947161
https://doi.org/10.1109/essderc55479.2022.9947161
Publikováno v:
IEEE Transactions on Device and Materials Reliability. 21:183-191
Resistive Random access memory (RRAM) devices together with the material implication (IMPLY) logic are a promising computing scheme for realizing energy efficient reconfigurable computing hardware for edge computing applications. This approach has be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d77eeeccdc6d08904da181820aca86b5
https://doi.org/10.1109/tdmr.2021.3075200
https://doi.org/10.1109/tdmr.2021.3075200
Autor:
Lorenzo Benatti, Tommaso Zanotti, Daniela Gandolfi, Jonathan Mapelli, Francesco Maria Puglisi
Publikováno v:
Nano Futures. 7:025003
Neuromorphic circuits based on spikes are currently envisioned as a viable option to achieve brain-like computation capabilities in specific electronic implementations while limiting power dissipation given their ability to mimic energy-efficient bio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f4cce248645f34265d463b34dbec145
https://doi.org/10.1088/2399-1984/accf53
https://doi.org/10.1088/2399-1984/accf53
Publikováno v:
IEEE Transactions on Device and Materials Reliability. 20:278-285
The in-memory computation of logic operations is a promising paradigm that could enable the development of highly efficient computing architectures, ideal for battery-powered devices. Indeed, Resistive Random Access Memory (RRAM) devices and the mate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96f1a8f186edbd482db203dfc098eeb9
https://doi.org/10.1109/tdmr.2020.2981205
https://doi.org/10.1109/tdmr.2020.2981205