Neuromorphic Computing – The Principal of Development

R. Rajath Krishna, D. Nandini, J. A. Mayan, Nehal Veeramachaneni, Nidhi Sawarn
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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.
神经形态计算——发展的原理
. 由于摩尔定律的衰落,每个人都在寻找一种方法来进一步推动计算技术。神经形态计算是我们接近下一代计算机技术的一种方式。神经形态芯片已经成为当前的热门话题,因为它处理各种各样的策略来制定给定的信息,不仅可以做出特定的决定,还可以修改网络以记忆信息并更有效地完成工作。随着超大规模集成电路力学的不断进步和神经形态计算的进一步研究和发展,神经形态工程的应用能力和竞争力正在稳步增长。这些芯片执行复杂的任务,如图像识别、导航和解决问题。本文介绍了神经形态计算的历史、需求、功能、当前项目、主要特点和技术能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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