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Recent Developments in Neuromorphic Computing, Focusing on Hardware Design and Reliability

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A new technical paper titled “Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies” was published by researchers at Univ. Lyon, Ecole Centrale de Lyon, Univ. Grenoble Alpes, Hewlett Packard Labs, CEA-LETI, and Politecnico di Torino.

Abstract
“The field of neuromorphic computing has been rapidly evolving in recent years, with an increasing focus on hardware design and reliability. This special session paper provides an overview of the recent developments in neuromorphic computing, focusing on hardware design and reliability. We first review the traditional CMOS-based approaches to neuromorphic hardware design and identify the challenges related to scalability, latency, and power consumption. We then investigate alternative approaches based on emerging technologies, specifically integrated photonics approaches within the NEUROPULS project. Finally, we examine the impact of device variability and aging on the reliability of neuromorphic hardware and present techniques for mitigating these effects. This review is intended to serve as a valuable resource for researchers and practitioners in neuromorphic computing.”

Find the technical paper here. Published May 2023 (preprint).

Pavanello, Fabio, Elena Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoit Charbonnier, Alessio Carpegna, Stefano Di Carlo, and Alessandro Savino. “Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies.” arXiv preprint arXiv:2305.01818 (2023).



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