Neuromorphic Computing – The Principal of Development

R. Sathya Bama Krishna; D. Usha Nandini; J. Albert Mayan; Nehal Veeramachaneni; Nidhi Sawarn

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India

Research Article

Neuromorphic Computing – The Principal of Development

Download1109 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.7-6-2021.2308573,
    author={R. Sathya Bama  Krishna and D. Usha  Nandini and J. Albert  Mayan and Nehal  Veeramachaneni and Nidhi  Sawarn},
    title={Neuromorphic Computing -- The Principal of Development},
    proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India},
    publisher={EAI},
    proceedings_a={I3CAC},
    year={2021},
    month={6},
    keywords={neuro-inspired model neuromorphic computing artificial intelligence computational modelling},
    doi={10.4108/eai.7-6-2021.2308573}
}

R. Sathya Bama Krishna
D. Usha Nandini
J. Albert Mayan
Nehal Veeramachaneni
Nidhi Sawarn
Year: 2021
Neuromorphic Computing – The Principal of Development
I3CAC
EAI
DOI: 10.4108/eai.7-6-2021.2308573

R. Sathya Bama Krishna¹^,*, D. Usha Nandini², J. Albert Mayan³, Nehal Veeramachaneni⁴, Nidhi Sawarn⁴

1: Assistant Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai 600119, India,
2: 2Assistant Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai 600119, India
3: 3Associate Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai 600119, India
4: Student, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai 600119, India

*Contact email: rsathyarajeswari@gmail.com

Abstract

Due to the subsequent decline of Moore’s Law, everyone is in the search for an approach to push computing technology much further. Neuromorphic Computing is a way through which we can approach the next generation of computer technology. Neuromorphic chips have been the current trending topic as it deals with a diverse range of tactics to formulate the given information to not just make a particular decision but it also modifies the network to memorize the information and finish the work more efficiently. The progress in VLSI mechanics through time and the further research and development on neuromorphic computing lead to a stable growth in the ability and competence of neuromorphic engineering in applications. These chips perform complex tasks such as image recognition, navigation and problem solving. In this paper we present the history, the need for Neuromorphic computing, the functionalities, the current projects, their main features and technical capabilities of Neuromorphic computing.

Keywords: neuro-inspired model neuromorphic computing artificial intelligence computational modelling

Published: 2021-06-04
Publisher: EAI

: http://dx.doi.org/10.4108/eai.7-6-2021.2308573