Advancing Neural Networks: Innovations and Impacts on Energy Consumption

Advancing Neural Networks: Innovations and Impacts on Energy Consumption

Abstract The energy efficiency of Artificial Intelligence (AI) systems is a crucial and actual issue that may have an important impact on an ecological, economic and technological level. Spiking Neural Networks (SNNs) are strongly suggested as valid candidates able to overcome Artificial Neural Netw...

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Main Authors: Alina Fedorova, Nikola Jovišić, Jordi Vallverdù, Silvia Battistoni, Miloš Jovičić, Milovan Medojević, Alexander Toschev, Evgeniia Alshanskaia, Max Talanov, Victor Erokhin
Format: Article
Language:English
Published: Wiley-VCH 2024-12-01
Series:Advanced Electronic Materials
Subjects:
artificial neural network
energy consumption
LSTM
memristive device
ResNet
spiking neural network
Online Access:https://doi.org/10.1002/aelm.202400258
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https://doi.org/10.1002/aelm.202400258

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