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

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  • @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.