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This Review Article examines the development of organic neuromorphic devices, considering the different switching mechanisms used in the devices and the challenges the field faces in delivering neuromorphic computing applications.
A heterostructure made from various two-dimensional materials can be used to build a device that functions as a diode, transistor, photodetector and non-volatile memory.
An implantable strain and pressure sensor, which is made from biodegradable polymers, could be used to track the healing of tendons and then degrade after its useful lifetime.
This Review Article assesses the different techniques used to characterize memristive switching in nanoionic devices and proposes a general framework for such devices, based on the relative strengths and weaknesses in each case.
This Perspective highlights the existence of gaps between the computational complexity and energy efficiency required for the continued scaling of deep neural networks and the hardware capacity actually available with current CMOS technology scaling, in situations where edge inference is required; it then discusses various architecture and algorithm innovations that could help to bridge these gaps.
An approach to computing that is fast, low-power and precise can be created by combining an analogue in-memory processor with a conventional digital processor.
A holography computing board that combines eight field-programmable gate arrays offers a scalable approach to generating holograms with a high frame rate.
Direct-current-powered microwave amplifiers that approach the quantum noise limit can be created through the control of emission processes in a superconducting circuit.
This Review Article examines the development of wearable sweat sensors, considering the challenges and opportunities for such technology in the context of personalized healthcare.