Electronic skins (e-skins) have seen intense research and rapid development in the past two
decades. To mimic the capabilities of human skin, a multitude of flexible/stretchable sensors …

With the adoption of smart systems, artificial neural networks (ANNs) have become
ubiquitous. Conventional ANN implementations have high energy consumption, limiting …

Spiking neural networks (SNNs) aim to realize brain-inspired intelligence on neuromorphic
chips with high energy efficiency by introducing neural dynamics and spike properties. As …

Brain-inspired spiking neural networks (SNNs) are becoming a promising energy-efficient
alternative to traditional artificial neural networks (ANNs). However, the performance gap …

Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …

Circularly polarized light (CPL) adds a unique dimension to optical information processing
and communication. Integrating CPL sensitivity with light learning and memory in a photonic …

As the size of large language models continue to scale, so does the computational
resources required to run it. Spiking Neural Networks (SNNs) have emerged as an energy …

Infrared machine vision system for object perception and recognition is becoming
increasingly important in the Internet of Things era. However, the current system suffers from …

Spiking Neural Networks (SNNs) have recently emerged as an alternative to deep learning
owing to sparse, asynchronous and binary event (or spike) driven processing, that can yield …

Electrolyte-gated transistors can function as switching elements, artificial synapses and
memristive systems, and could be used to create compact and powerful neuromorphic …