Neuromorphic computing has received more and more attention recently since it can
process information and interact with the world like the human brain. Agriculture is a …

The scalability of two-dimensional (2D) materials down to a single monolayer offers exciting
prospects for high-speed, energy-efficient, scalable memristors. This review highlights the …

Inspired by brain-like spiking computational frameworks, neuromorphic computing-brain-
inspired computing for machine intelligence promises to realize artificial intelligence (AI) …

Spike-based neural networks, which use spikes or action potentials to represent information,
have gained a lot of attention because of their high energy efficiency and low power …

Complex information processing in neuromorphic systems relies on artificial neurons and
synapses as fundamental components. Frequently, memristors are utilized as artificial …

While biological vision systems excel at in-memory processing with low power consumption,
traditional silicon-based vision chips struggle with high energy demands. This gap motivates …

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Due to the imitation of the neural functionalities of the human brain via optical modulation of
resistance states, photoelectric resistive random access memory (ReRAM) devices attract …