no code implementations • 17 Jan 2024 • Yihan Pan, Adrian Wheeldon, Mohammed Mughal, Shady Agwa, Themis Prodromakis, Alexantrou Serb
Content addressable memory is popular in the field of intelligent computing systems with its searching nature.
no code implementations • 5 Mar 2023 • Patrick Foster, Alex Serb, Themis Prodromakis
Advances in machine learning and neuromorphic systems are fuelled by the development of architectures required for these applications, such as content addressable memory.
1 code implementation • 27 Jul 2022 • Jinqi Huang, Alex Serb, Spyros Stathopoulos, Themis Prodromakis
We take two approaches to obtain trained spiking neural networks with memristor models: 1) by converting a pre-trained artificial neural network (ANN) to a memristor-based SNN, or 2) by training a memristor-based SNN directly.
no code implementations • 16 Jul 2022 • Jinqi Huang, Spyros Stathopoulos, Alex Serb, Themis Prodromakis
Memristors have shown promising features for enhancing neuromorphic computing concepts and AI hardware accelerators.
no code implementations • 1 Feb 2022 • Patrick Foster, Jinqi Huang, Alex Serb, Spyros Stathopoulos, Christos Papavassiliou, Themis Prodromakis
Electronic systems are becoming more and more ubiquitous as our world digitises.
no code implementations • 22 Sep 2021 • Christos Giotis, Alexander Serb, Vasileios Manouras, Spyros Stathopoulos, Themis Prodromakis
This showcases the use of emerging memory technologies to efficiently expand the capacity of artificial intelligence hardware towards more generalised learning memories.
no code implementations • 21 Dec 2020 • Vasileios Manouras, Spyros Stathopoulos, Suresh Kumar Garlapati, Alex Serb, Themis Prodromakis
Memristors have been at the forefront of nanoelectronics research for the last decade, offering a valuable component to reconfigurable computing.
Applied Physics