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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.
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.