Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Syed, Ghazi Sarwat"'
Autor:
Zolfagharinejad, Mohamadreza, Büchel, Julian, Cassola, Lorenzo, Kinge, Sachin, Syed, Ghazi Sarwat, Sebastian, Abu, van der Wiel, Wilfred G.
With the rise of decentralized computing, as in the Internet of Things, autonomous driving, and personalized healthcare, it is increasingly important to process time-dependent signals at the edge efficiently: right at the place where the temporal dat
Externí odkaz:
http://arxiv.org/abs/2410.10434
Autor:
Mehonic, Adnan, Ielmini, Daniele, Roy, Kaushik, Mutlu, Onur, Kvatinsky, Shahar, Serrano-Gotarredona, Teresa, Linares-Barranco, Bernabe, Spiga, Sabina, Savelev, Sergey, Balanov, Alexander G, Chawla, Nitin, Desoli, Giuseppe, Malavena, Gerardo, Compagnoni, Christian Monzio, Wang, Zhongrui, Yang, J Joshua, Syed, Ghazi Sarwat, Sebastian, Abu, Mikolajick, Thomas, Noheda, Beatriz, Slesazeck, Stefan, Dieny, Bernard, Tuo-Hung, Hou, Varri, Akhil, Bruckerhoff-Pluckelmann, Frank, Pernice, Wolfram, Zhang, Xixiang, Pazos, Sebastian, Lanza, Mario, Wiefels, Stefan, Dittmann, Regina, Ng, Wing H, Buckwell, Mark, Cox, Horatio RJ, Mannion, Daniel J, Kenyon, Anthony J, Lu, Yingming, Yang, Yuchao, Querlioz, Damien, Hutin, Louis, Vianello, Elisa, Chowdhury, Sayeed Shafayet, Mannocci, Piergiulio, Cai, Yimao, Sun, Zhong, Pedretti, Giacomo, Strachan, John Paul, Strukov, Dmitri, Gallo, Manuel Le, Ambrogio, Stefano, Valov, Ilia, Waser, Rainer
The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently utilized technologies, providing an overview of emerging technologies, add
Externí odkaz:
http://arxiv.org/abs/2407.02353
Autor:
Ning Li, Charles Mackin, An Chen, Kevin Brew, Timothy Philip, Andrew Simon, Iqbal Saraf, Jin‐Ping Han, Syed Ghazi Sarwat, Geoffrey W. Burr, Malte Rasch, Abu Sebastian, Vijay Narayanan, Nicole Saulnier
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 6, Pp n/a-n/a (2023)
Abstract Phase change memory (PCM) is one of the most promising candidates for non‐von Neumann based analog in‐memory computing–particularly for inference of previously‐trained deep neural networks (DNN). It is shown that PCM electrical prope
Externí odkaz:
https://doaj.org/article/21e46ddebffb4e81b334c7208c700cea
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Some types of machine learning rely on the interaction between multiple signals, which requires new devices for efficient implementation. Here, Sarwat et al demonstrate a memristor that is both optically and electronically active, enabling computatio
Externí odkaz:
https://doaj.org/article/381cb23d21e94245b5c173763a903759
Autor:
Valeria Bragaglia, Vara Prasad Jonnalagadda, Marilyne Sousa, Syed Ghazi Sarwat, Benedikt Kersting, Abu Sebastian
Publikováno v:
Nanomaterials, Vol 12, Iss 10, p 1702 (2022)
Non-volatile memories based on phase-change materials have gained ground for applications in analog in-memory computing. Nonetheless, non-idealities inherent to the material result in device resistance variations that impair the achievable numerical
Externí odkaz:
https://doaj.org/article/161f94a971f942d4b3b307aa3848c1c8
Akademický článek
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Publikováno v:
In Phase Change Materials-Based Photonic Computing 2024:11-35
Autor:
Syed Ghazi Sarwat, Frank Brückerhoff-Plückelmann, Santiago García-Cuevas Carrillo, Emanuele Gemo, Johannes Feldmann, Harish Bhaskaran, C. David Wright, Wolfram H. P. Pernice, Abu Sebastian
Publikováno v:
Science Advances
With more and more aspects of modern life and scientific tools becoming digitized, the amount of data being generated is growing exponentially. Fast and efficient statistical processing, such as identifying correlations in big datasets, is therefore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3289d4965a062d218b7f65a0c03b9e0
https://doi.org/10.1126/sciadv.abn3243
https://doi.org/10.1126/sciadv.abn3243
Autor:
Syed Ghazi Sarwat, Manuel Le Gallo, Robert L Bruce, Kevin Brew, Benedikt Kersting, Vara Prasad Jonnalagadda, Injo Ok, Nicole Saulnier, Matthew BrightSky, Abu Sebastian
Publikováno v:
Advanced materials (Deerfield Beach, Fla.).
Nanoscale resistive memory devices are being explored for neuromorphic and in-memory computing. However, non-ideal device characteristics of read noise and resistance drift pose significant challenges to the achievable computational precision. Here,
Autor:
Nathan Youngblood, Clément Talagrand, Benjamin F. Porter, Carmelo Guido Galante, Steven Kneepkens, Graham Triggs, Syed Ghazi Sarwat, Dmitry Yarmolich, Ruy S. Bonilla, Peiman Hosseini, Robert A. Taylor, Harish Bhaskaran
A method for controlling the optical properties of a solid-state film over a broad wavelength range is highly desirable and could have significant commercial impact. One such application is smart glazing technology where near-infrared solar radiation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f262c990ffac6ab67a80f4a180e91c42
https://doi.org/10.1021/acsphotonics.1c01128
https://doi.org/10.1021/acsphotonics.1c01128