Since research on artificial intelligence has begun receiving much attention, interest in
efficient hardware that can process a complex and large amount of information has also …

The booming development of artificial intelligence (AI) requires faster physical processing
units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged …

In the era of the Internet and the Internet of Things, display technology has evolved
significantly toward full‐scene display and realistic display. Incorporating “intelligence” into …

For the progress of artificial neural networks, the imitation of multiple biological functions is
indispensable for processing more tasks in a complex working environment. Memristors …

Artificial leaky integrate-and-fire (LIF) neurons have attracted significant attention for building
brain-like computing and neuromorphic systems. However, previous artificial LIF neurons …

Herein, a self-rectifying resistive switching memristor synapse with a Ta/NbO x/Pt structure
was demonstrated for deep reservoir computing (RC). The memristor demonstrated stable …

True random number generators (TRNGs) can generate unpredictable binary bitstream by
exploiting the intrinsic stochasticity in physical variables. In a threshold switching memristor …

Memristive devices with threshold switching characteristics can be effectively utilized to
mimic biological neurons acting as one of the key building blocks for constructing advanced …

Artificial neurons have good application prospects as efficient processing units in artificial
neural morphology. Indiun galliun zinc oxide (IGZO) is widely used in artificial synapses and …

Brain-inspired computing is an emerging field that aims at building a compact and massively
parallel architecture, to reduce power consumption in conventional Von Neumann …