With the escalating integration of artificial intelligence (AI) in contemporary technology, optimizing AI algorithm performance is becoming crucial. In this scenario, neuromorphic computing has emerged as a transformative frontier. Inspired by the human brain, neuromorphic computing aims to replicate biological neural networks, creating systems that process information in ways similar to the human brain with a high degree of efficiency. The target of this study is to present the design of novel pulsing technique for energy-efficient synaptic weight updates of a Memristor-based Crossbar Array Circuit for Neuromorphic Architectures.
A Novel Pulsing Technique for Synaptic Weight Updates in Memristor Crossbar Arrays / Arciello, Alberto; Cimino, Giuseppe; Merenda, Massimo. - (2025), pp. 1-4. ( 10th International Conference on Smart and Sustainable Technologies, SpliTech 2025 University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), hrv 2025) [10.23919/splitech65624.2025.11091738].
A Novel Pulsing Technique for Synaptic Weight Updates in Memristor Crossbar Arrays
Arciello, Alberto;Merenda, Massimo
2025-01-01
Abstract
With the escalating integration of artificial intelligence (AI) in contemporary technology, optimizing AI algorithm performance is becoming crucial. In this scenario, neuromorphic computing has emerged as a transformative frontier. Inspired by the human brain, neuromorphic computing aims to replicate biological neural networks, creating systems that process information in ways similar to the human brain with a high degree of efficiency. The target of this study is to present the design of novel pulsing technique for energy-efficient synaptic weight updates of a Memristor-based Crossbar Array Circuit for Neuromorphic Architectures.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
