The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …

As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …

Extremely low energy consumption neuromorphic computing is required to achieve
massively parallel information processing on par with the human brain. To achieve this goal …

In this Review, memristors are examined from the frameworks of both von Neumann and
neuromorphic computing architectures. For the former, a new logic computational process …

Synapses are functional links between neurons, through which" information" flows in the
neural network. These connections vary significantly in strength, typically resulting from the …

In recent years, research on organic‐inorganic lead halide two‐dimensional (2D)
perovskites has been blossoming. 2D perovskites have completely different layered …

Solution‐processed black phosphorus quantum‐dot‐based resistive random access
memory is demonstrated with tunable characteristics, multilevel data storage, and ultrahigh …

The human body is a “delicate machine” full of sensors such as the fingers, nose, and
mouth. In addition, numerous physiological signals are being created every moment, which …

Reversible chemical and structural changes induced by ionic motion and reaction in
response to electrical stimuli leads to resistive switching effects in metal‐insulator‐metal …

With many fantastic properties, memristive devices are a top candidate for next‐generation
memory and neuromorphic computing chips. Significant research progress has been made …