Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

The quantity of sensor nodes within current computing systems is rapidly increasing in
tandem with the sensing data. The presence of a bottleneck in data transmission between …

Detection and recognition of latent fingerprints play crucial roles in identification and
security. However, the separation of sensor, memory, and processor in conventional ex-situ …

Brain-inspired computing hardware aims to emulate the structure and working principles of
the brain and could be used to address current limitations in artificial intelligence …

Reservoir computing offers a powerful neuromorphic computing architecture for
spatiotemporal signal processing. To boost the power efficiency of the hardware …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Although 2D materials are widely explored for data storage and neuromorphic computing,
the construction of 2D material‐based memory devices with optoelectronic responsivity in …

Dynamic physical systems such as reservoir computing (RC) architectures show a great
prospect in temporal information processing, whereas hierarchical information processing …

This manuscript serves a specific purpose: to give readers from fields such as material
science, chemistry, or electronics an overview of implementing a reservoir computing (RC) …

Recent years have witnessed a surge of interest in learning representations of graph-
structured data, with applications from social networks to drug discovery. However, graph …