Rapid advances in the semiconductor industry, driven largely by device scaling, are now
approaching fundamental physical limits and face severe power, performance, and cost …

Neuromorphic skin is an emerging electronic skin that demonstrates sensory, memory,
learning, and motor responses in a neuromorphic way by using advanced artificial synaptic …

Brain‐inspired neuromorphic computing hardware based on artificial synapses offers
efficient solutions to perform computational tasks. However, the nonlinearity and asymmetry …

Organic artificial synapses are becoming the most desirable format for neuromorphic
computing due to their highly tunable resistive states. However, repressively low analog …

Synaptic devices with linear high‐speed switching can accelerate learning in artificial neural
networks (ANNs) embodied in hardware. Conventional resistive memories however suffer …

Artificial synaptic devices are the basic composition units for neuromorphic computing
processors that realize massive parallel computing. However, the n‐type organic transistors …

Among many artificial neural networks, the research on Spike Neural Network (SNN), which
mimics the energy-efficient signal system in the brain, is drawing much attention. Memristor …

Bio‐inspired neuromorphic vision sensors, integrating optical sensing, and processing
functions have attracted significant attention for developing future low‐power and high …

Recent breakthroughs in artificial neural networks (ANNs) have spurred interest in efficient
computational paradigms where the energy and time costs for training and inference are …

Spiking Neural Networks (SNNs) offer great potential to promote both the performance and
efficiency of real-world computing systems, considering the biological plausibility of SNNs …