Introduction to Neuromorphic Computing

Introduction to Neuromorphic Computing

Supriya Amol Londhe (Department of Design, Analytics and Cyber Security, MIT Arts, Commerce, and Science College, Alandi, India), Sunayana Kundan Shivthare (Department of Science and Computer Science, MIT Arts, Commerce, and Science College, Alandi, India), and YogeshKumar Sharma (Koneru Lakshmaiah Edcation Foundation, Vaddeswaram, India)
DOI: 10.4018/979-8-3693-6303-4.ch001
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Abstract

Neuromorphic computing is an innovative and fast-evolving field poised to significantly impact human life in the coming decades. By emulating the brain's neural architecture using modern electronic systems, it aims to enhance computer architectures and revolutionize computing and machine learning tasks. Neuromorphic systems transcend traditional computing paradigms by integrating memory and computation in a massively parallel fashion, unlocking unprecedented computational efficiency and performance. This approach promises breakthroughs in pattern recognition, natural language processing, and autonomous decision-making. Additionally, neuromorphic computing could advance electronics and biology integration, leading to innovations like brain-computer interfaces and neuroprosthetic devices that revolutionize healthcare and human augmentation.
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