The escalating demand for artificial intelligence (AI), the internet of things (IoTs), and energy-
efficient high-volume data processing has brought the need for innovative solutions to the …

Hardware neural networks with mechanical flexibility are promising next-generation
computing systems for smart wearable electronics. Overcoming the challenge of develo** …

The memristor has recently demonstrated considerable potential in the field of large‐scale
data information processing. Metal halide perovskites (MHPs) have emerged as the leading …

With the increasing demands and complexity of the neuromorphic computing schemes
utilizing highly efficient analog resistive switching devices, understanding the apparent …

Neuromorphic platforms are gaining popularity due to their superior efficiency, low power
consumption, and adaptable parallel signal processing capabilities, overcoming the …

The limitations of Moore's law and the von Neumann bottleneck have sparked an increasing
interest in advanced intelligent systems, such as memristors and neuromorphic devices …

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

Organic–inorganic hybrid perovskites (OIHPs) have been spotlighted as emerging solution-
processed electronics and show promise as economical, flexible, and stretchable emerging …

With the current evolution in artificial intelligence technology, biodegradable biomimetic
devices are essential to execute increasingly complicated tasks and respond to challenging …

The conduction of ionic species through solid-state memristive devices exhibited markedly
lower mobility than that of ions (Na+, K+, and Ca2+) in the human brain, presenting a major …