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Neuromorphic computing based on fully memristive neural networks could offer a scalable and lower-cost alternative to existing neural spiking chips based solely on CMOS technology.
This Review Article examines the development of functional untethered soft robotics, evaluating recent advances in soft robotic actuation, sensing, and integration in relation to untethered systems.
Analogue computing based on memristors could offer a faster and more energy-efficient alternative to conventional digital computing in IoT applications.
Spiral inductors that are made from intercalated multilayer graphene, and exploit the kinetic inductance of the material, could help deliver miniaturized radio-frequency integrated circuits.
This Perspective argues that the challenges facing the semiconductor industry are unprecedented and undermine incentives for continued collective action in research and development, potentially threatening world-wide economic growth; significantly increased public funding, as well as leadership beyond traditional stakeholders, is required.
This Perspective discusses the potential of thin-film transistor technologies in the development of low-cost, flexible integrated circuits, evaluating the more mature technologies available today in terms of their potential circuit applications and the implications they will have in the design of integrated circuits.
This Perspective evaluates the state of the art in memristor-based electronics and explores the future development of such devices in on-chip memory, biologically inspired computing and general-purpose in-memory computing.