In-Memory Logic Operations and Neuromorphic Computing in Non-Volatile Random Access Memory.

ABSTRACT: Recent progress in the development of artificial intelligence technologies, aided by deep learning algorithms, has led to an unprecedented revolution in neuromorphic circuits, bringing us ever closer to brain-like computers. However, the vast majority of advanced algorithms still have to run on conventional computers. Thus, their capacities are limited by what is known as the von-Neumann bottleneck, where the central processing unit for data computation and the main memory for data storage are separated. Emerging forms of non-volatile random access memory, such as ferroelectric random access memory, phase-change random access memory, magnetic random access memory, and resistive random access memory, are widely considered to offer the best prospect of circumventing the von-Neumann bottlenec

SUBMITTER: Ou QF 

PROVIDER: S-EPMC7475900 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature