Dario Padovano
SpikExplorer: a tool for Design Space Exploration of Spiking Neural Network Architecture.
Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024
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Abstract
SpikExplorer: a tool for Design Space Exploration of Spiking Neural Network Architecture We live in the age of artificial intelligence, where high level abstractions of human brain consume enormous amount of energy to write an essay for high school kids. In this scenario it could be asked how if there exists a way to improve consumption keeping performance high, the answer is in our brain. The human neural network consumes infinitesimal amounts of energy compared to the stateof-the-art artificial neural networks such as GPT-4, in this way the structure and dynamics of human brain could became an inspiration in the development of pioneering models such as Spiking Neural Networks.
In the last few years, Spiking Neural Networks (SNN) heavily spread through the machine learning community as a novelty approach to deep learning
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