Touch is a complex sensing modality owing to large number of receptors (mechano, thermal,
pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather …

As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …

The human brain is a sophisticated, high‐performance biocomputer that processes multiple
complex tasks in parallel with high efficiency and remarkably low power consumption …

Simulating biological synaptic functionalities through artificial synaptic devices opens up an
innovative way to overcome the von Neumann bottleneck at the device level. Artificial …

Neuromorphic computing can potentially solve the von Neumann bottleneck of current
mainstream computing because it excels at self‐adaptive learning and highly parallel …

An electronic skin (e-skin) for the next generation of robots is expected to have biological
skin-like multimodal sensing, signal encoding, and preprocessing. To this end, it is …

Atomically thin two-dimensional (2D) materials—such as transition metal dichalcogenide
(TMD) monolayers and hexagonal boron nitride (hBN)—and their van der Waals layered …

Ferroelectric field effect transistors (FeFETs) have attracted attention as next-generation
devices as they can serve as a synaptic device for neuromorphic implementation and a one …

Neuromorphic systems can parallelize the perception and computation of information,
making it possible to break through the von Neumann bottleneck. Neuromorphic …

Living organisms have a very mysterious and powerful sensory computing system based on
ion activity. Interestingly, studies on iontronic devices in the past few years have proposed a …