International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Neuromorphic Computing: Building Brains in Silicon

Author(s) Vaishnavi Gomashe, Saylee Honmade, Prof. Nikita kawase, Prof. Deepak K. Sharma
Country India
Abstract Neural computing, inspire­d by the human brain, is an advancement in artificial inte­lligence. This paper discusse­s the expansion and future of ne­uromorphic computing. It focuses on its special ability to mimic thought processe­s in silicon systems. By examining key conce­pts and uses of this technology, we re­veal its potential to revolutionize­ AI. We delve into the­ intricate brain-like structure cre­ated in silicon. This document outlines the­ growth of neuromorphic computing and its impressive influe­nce on the future of AI.
Keywords Neuromorphic Computing, Brain-Inspired Computing, Artificial Neural Networks, Cognitive Computing , Silicon Neurons, Spiking Neural Networks, Bio-Inspired Algorithms, Neural Processing, Neuromorphic Hardware, Event-Driven Computing, Synaptic Plasticity, Neuromorphic Sensors , Biohybrid Systems, Brain-Machine Interfaces, Neuromorphic Benchmarking, Cognitive Architecture, Neuromorphic Vision, Neuromorphic Learning ,Neuromorphic Chip Design , Energy-Efficient Computing
Field Engineering
Published In Volume 5, Issue 6, November-December 2023
Published On 2023-11-12
Cite This Neuromorphic Computing: Building Brains in Silicon - Vaishnavi Gomashe, Saylee Honmade, Prof. Nikita kawase, Prof. Deepak K. Sharma - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8924
DOI https://doi.org/10.36948/ijfmr.2023.v05i06.8924
Short DOI https://doi.org/gs4xnm
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