The aqueous electrolyte can be a deformable and stretchable liquid material for iontronic
resistive memory devices. An aqueous medium makes a device closer to the brain‐like …

Spiking neural networks (SNNs) have immense potential due to their utilization of synaptic
plasticity and ability to take advantage of temporal correlation and low power consumption …

By exploiting ion transport phenomena in a soft and flexible discrete channel, liquid material
conductance can be controlled by using an electrical input signal, which results in analog …

Abstract According to Moore's Law's development law, traditional floating gate memory is
constrained by charge tunneling, and its size is approaching the physical limit, which is …

Storage systems are vital components of electronic devices, while significant challenges
persist in achieving flexible memory due to the limitations of existing storage methodologies …

3D printing of water stable proteins with elastic properties offers a broad range of
applications including self-powered biomedical devices driven by piezoelectric biomaterials …

Brain‐inspired computation is a promising field toward the next generation of intelligent
computing systems. To mimic the brain functions, this field requires devices that can support …

Taking inspiration from biological information processing in neural assemblies, deep
learning and artificial intelligence made solutions to complex problems more feasible. While …

Synaptic devices that emulate synchronized memory and processing are considered the
core components of neuromorphic computing systems for the low-power implementation of …

In-sensor computing, which is capable of combining sensing, processing, and memory in a
single unit, has been proposed to implement a brain-inspired artificial visual system. Among …