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Eight layers of memristors can be monolithically integrated on a chip to create a three-dimensional circuit capable of implementing a convolutional neural network. The cover shows a false-colour scanning electron microscopy image of part of the memristor array.
This Review Article examines the development of neural interfaces, which can provide a direct, electrical bridge between analogue human nervous systems and digital man-made devices, considering challenges and opportunities created with such technology.
A quantum point contact formed in the two-dimensional electron gas of a LaAlO3/SrTiO3 interface exhibits quantized conductance due to ballistic transport in a controllable number of one-dimensional conducting channels.
Two-dimensional metallic WTe2 and MoTe2 layers can be combined with a semiconducting MoS2 monolayer to create metal–semiconductor junctions that are free from substantial disorder effects and Fermi-level pinning.
A 3D printing technique that produces structures with programmable patterns of charged surface, allowing different functional materials to be deposited in pre-defined regions, can be used to create electronic devices with a single printing step.
A three-dimensional circuit composed of eight layers of monolithically integrated memristive devices is built and used to implement complex neural networks, demonstrating accurate MNIST classification and effective edge detection in videos.