Andrea Spitale
Interfacing a Neuromorphic Coprocessor with a RISC-V Architecture.
Rel. Gianvito Urgese, Evelina Forno. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021
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Abstract
The concept of neural network is nowadays spread everywhere. Commonly meant as a mean to provide what is called artificial intelligence, neural network constitute one of few state of the art technologies which are constantly growing in complexity and efficiency to overcome new challenges, providing fascinating services and features, ranging from image classification and manipulation, up to speech recognition and many more that are still being explored. A neural network is a computing system which takes inspiration from the human brain, exploiting its parallel interconnections to solve complex data problems, modifying its internal parameters (training phase) in order to recognize unknown input data with higher accuracy (inference phase).
Spiking Neural Networks (SNN) represent an emerging class of neural networks, coming from neuroscience research and aiming at accurately reproducing both static and dynamic behaviours of human brain neurons
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