Memristive devices as computational memory

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Authors: Shaibal Mukherjee
Cited by: 0

Abstract

This chapter begins by highlighting the evolving nature of computer programs and applications, in particular, emphasizing the impact of technologies such as big data and the Internet of Things. In this fast-paced environment, there is a growing demand for improved performance in areas such as storage capacity, energy efficiency, and computational power. The focus then shifts to the advancements in memristive devices for synaptic applications within deep learning algorithms.

Fields of Study & Subjects

Advanced Memory and Neural Computing Ferroelectric and Negative Capacitance Devices Neural Networks and Reservoir Computing

Publication details

Pages
4–1
Publication date
1 January 2026
Document type
Book chapter