Survey Of Neuromorphic Computing and Neural Networks in Hardware
Reshma Roy
, Dr. Rahul Shajan
Index Terms: Neuromorphic computing, machine learning, neurons, human brain, spiking neural networks, materials science (key words)
Abstract: A biologically inspired method of computing known as "neuromorphic computing" promises to give computers the capacity to learn and adapt in a manner similar to the human brain. With the help of highly connected synthetic neurons and synapses, this technology has the ability to solve difficult machine learning issues and model neuroscientific theories. These systems were developed to address the limitations of traditional von Neumann computers, which rely on sequential processing and are inappropriate for tasks requiring parallelism, low power consumption, and real-time computing. In recent years, the field has made great progress with the emergence of various hardware platforms that use spiking neural networks (SNNs) to perform complex computations. The goal of the field of neuromorphic computing is to create machines that function similarly to the human brain.
"Survey Of Neuromorphic Computing and Neural Networks in Hardware", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1462 - 1465, March-2023, Available :https://ijsdr.org/papers/IJSDR2303254.pdf
Volume 8
Issue 3,
March-2023
Pages : 1462 - 1465
Paper Reg. ID: IJSDR_204982
Published Paper Id: IJSDR2303254
Downloads: 000347613
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
