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Artificial cognitive memory—changing from density driven to functionality driven

机译:人工认知记忆-从密度驱动变为功能驱动

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Increasing density based on bit size reduction is currently a main driving force for the development of data storage technologies. However, it is expected that all of the current available storage technologies might approach their physical limits in around 15 to 20 years due to miniaturization. To further advance the storage technologies, it is required to explore a new development trend that is different from density driven. One possible direction is to derive insights from biological counterparts. Unlike physical memories that have a single function of data storage, human memory is versatile. It contributes to functions of data storage, information processing, and most importantly, cognitive functions such as adaptation, learning, perception, knowledge generation, etc. In this paper, a brief review of current data storage technologies are presented, followed by discussions of future storage technology development trend. We expect that the driving force will evolve from density to functionality, and new memory modules associated with additional functions other than only data storage will appear. As an initial step toward building a future generation memory technology, we propose Artificial Cognitive Memory (ACM), a memory based intelligent system. We also present the characteristics of ACM, new technologies that can be used to develop ACM components such as bioinspired element cells (silicon, memristor, phase change, etc.), and possible methodologies to construct a biologically inspired hierarchical system.
机译:基于位大小减小的增加密度是当前数据存储技术发展的主要驱动力。但是,由于小型化,预计所有当前可用的存储技术可能会在大约15到20年内达到其物理极限。为了进一步推进存储技术,需要探索不同于密度驱动的新发展趋势。一种可能的方向是从生物学同行那里获得见解。与具有单一数据存储功能的物理存储器不同,人类存储器具有多种功能。它有助于数据存储,信息处理的功能,最重要的是有助于认知功能,例如适应,学习,感知,知识生成等。在本文中,对当前的数据存储技术进行了简要回顾,随后讨论了未来存储技术发展趋势。我们期望驱动力将从密度演变为功能,并且将出现与除数据存储以外的其他功能相关的新存储模块。作为构建下一代存储技术的第一步,我们提出了人工认知记忆(ACM),这是一种基于内存的智能系统。我们还介绍了ACM的特性,可用于开发ACM组件(如生物启发的元素细胞(硅,忆阻器,相变等)的新技术),以及构建生物启发的分层系统的可能方法。

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