The von Neumann bottleneck and memory wall have posed fundamental limitations in
latency and energy consumption of modern computers based on von Neumann architecture …

New device concepts and new computing principles are needed to balance our ever‐
growing appetite for data and information with the realization of the goals of increased …

Artificial Intelligence (AI) at the edge has become a hot subject of the recent technology-
minded publications. The challenges related to IoT nodes gave rise to research on efficient …

Most of the existing memristors are complicated to prepare, which is not conducive to actual
applications. In this paper, a Zn/ZnSO 4/Pt (ZSP) memristor with a simple preparation …

Artificial synapses and neurons are recognized as key elements in building bioinspired,
neuromorphic computing systems. However, synaptic and neuronal elements that have …

Core–shell semiconductor quantum dots (QDs) are one of the biggest nanotechnology
successes so far. In particular, type-I QDs with straddling band offset possess the ability to …

Artificial synapses are key elements in building bioinspired, neuromorphic computing
systems. Ferroelectric field‐effect transistors (FeFETs) with excellent controllability and …

Spiking neural network (SNN), widely known as the third-generation neural network, has
been frequently investigated due to its excellent spatiotemporal information processing …

There is an increasing importance of memory technologies in our ever-digitalizing society,
which is characterized by the generation and use of a tremendous amount of real-time data …

We systematically investigate the spiking dynamics of optical neurons consisting of vertical-
cavity surface emitting laser with an embedding saturable absorber (VCESL-SA) and the …