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A methodology — called auto tiny classifiers — is proposed to directly generate predictor circuits for the classification of tabular data, searching over the space of combinational logic using an evolutionary algorithm to maximize training prediction accuracy. Prediction performance is comparable to typical machine learning methods, but substantially fewer hardware resources and power are required.
The quantum anomalous Hall effect holds promise for quantum resistance metrology, but has been limited to low operating currents. A measurement scheme that increases the effect’s operational current is now demonstrated — a scheme that could also be used more generally to improve the performance of existing primary quantum standards of resistance based on the conventional quantum Hall effect.
Nanofluidic memristors that rely on mechanical deformations to modulate ionic conductance can be coupled to form logic circuits, opening a route to ionic machinery that could implement neural networks.
A flexible, biodegradable and self-powered electronic bandage is designed to deliver dual-mode electrical stimulation, which can synergistically accelerate local intestinal wound healing. This approach also shows promise for reducing postoperative complications and could have broad potential for application in other tissues and organs.
Distributed sensing of a dynamic environment is typically characterized by the sparsity of events, such as neuronal firing in the brain. Using the brain as inspiration, an event-driven communication strategy is developed that enables the efficient transmission, accurate retrieval and interpretation of sparse events across a network of thousands of wireless microsensors.
This Review examines the development of electrical reservoir computing, considering the architectures, physical nodes, and input and output layers of the approach, as well as performance benchmarks and the competitiveness of different implementations.
Polycrystalline films of the non-toxic element bismuth exhibit a room-temperature surface nonlinear Hall effect, which could make devices based on topological quantum effects more practical.
An approach to dynamically control the photoresponsivity of pixels in a computational sensor based on local image gradients enables the precise and robust detection of edge features of targets in dim light conditions from a single image capture.
Tapes whose adhesive force is controlled by ultraviolet illumination can be used to cleanly transfer large-area graphene, molybdenum disulfide and other two-dimensional materials with a low thermal budget and using no organic solvents.
This Review explores the development of ingestible electronics and provides a step-by-step guide for the design of ingestible electronic capsules at the system level.
By transferring laser-induced graphene to a hydrogel film at cryogenic temperatures, stretchable graphene–hydrogel interfaces can be created for application in wearable and implantable electronics.
An approach to soft electronics that is inspired by the emergence process of butterflies can be used to create devices that can recover from crumpling.
The planar structure of thin-film piezoelectric resonators limits the integration of multiband processors on a single chip. A three-dimensional nanomechanical resonator based on conformal ferroelectric gates to excite resonance in scalable silicon fins is shown to enable multiband integration on a single chip and to facilitate densification of processors for ultrawide-band wireless communication.
This Review examines the development of neuromorphic hardware systems based on halide perovskites, considering how devices based on these materials can serve as synapses and neurons, and can be used in neuromorphic computing networks.
An ultrathin haptic interface can selectively activate different cutaneous receptors in the skin, providing rich haptic sensation information in virtual reality.
This Review examines the development of thin-film transistors for use in displays, sensors, digital circuits and memory, as well as their potential for future application in emerging technologies such as neuromorphic computing.
For a long time, spin–orbit coupling in bismuthates has been considered to be negligible; however, giant charge-to-spin conversion has now been observed in Ba(Pb,Bi)O3-based heterostructures. These observations provide a path toward investigating the interplay of hidden spin–orbit phenomena and superconductivity.
A polymer-free method for stacking 2D materials has been demonstrated, using a cantilevered transfer support made from metallized silicon nitride. The assembly process, which is compatible with ultrahigh-vacuum operation, results in atomically clean and uniform interfaces.