Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Serb, Alex"'
Advances in machine learning and neuromorphic systems are fuelled by the development of architectures required for these applications, such as content addressable memory. In an attempt to address this need, this paper presents a new RRAM tuned window
Externí odkaz:
http://arxiv.org/abs/2303.02651
Memristors, emerging non-volatile memory devices, have shown promising potential in neuromorphic hardware designs, especially in spiking neural network (SNN) hardware implementation. Memristor-based SNNs have been successfully applied in a wide range
Externí odkaz:
http://arxiv.org/abs/2207.13729
Memristors have shown promising features for enhancing neuromorphic computing concepts and AI hardware accelerators. In this paper, we present a user-friendly software infrastructure that allows emulating a wide range of neuromorphic architectures wi
Externí odkaz:
http://arxiv.org/abs/2207.07987
Memristors, when utilized as electronic components in circuits, can offer opportunities for the implementation of novel reconfigurable electronics. While they have been used in large arrays, studies in ensembles of devices are comparatively limited.
Externí odkaz:
http://arxiv.org/abs/2204.02124
Autor:
Foster, Patrick, Huang, Jinqi, Serb, Alex, Stathopoulos, Spyros, Papavassiliou, Christos, Prodromakis, Themis
Electronic systems are becoming more and more ubiquitous as our world digitises. Simultaneously, even basic components are experiencing a wave of improvements with new transistors, memristors, voltage/current references, data converters, etc, being d
Externí odkaz:
http://arxiv.org/abs/2202.00499
Emerging two terminal nanoscale memory devices, known as memristors, have over the past decade demonstrated great potential for implementing energy efficient neuro-inspired computing architectures. As a result, a wide-range of technologies have been
Externí odkaz:
http://arxiv.org/abs/2201.03339
Autor:
Manouras, Vasileios, Stathopoulos, Spyros, Garlapati, Suresh Kumar, Serb, Alex, Prodromakis, Themis
Memristors have been at the forefront of nanoelectronics research for the last decade, offering a valuable component to reconfigurable computing. Their attributes have been studied extensively along with applications that leverage their state-depende
Externí odkaz:
http://arxiv.org/abs/2012.11519
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.