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 …

In today's era of big‐data, a new computing paradigm beyond today's von‐Neumann
architecture is needed to process these large‐scale datasets efficiently. Inspired by the …

Brain‐inspired neuromorphic computing has the potential to revolutionize the current
computing paradigm with its massive parallelism and potentially low power consumption …

Compared with the traditional von Neumann architecture, neural systems have many
distinctive properties including parallelism, low-power consumption, fault tolerance, self …

Nanomaterials such as silver nanoparticles and graphene‐based composites are known to
exhibit biocidal activities. However, interactions with surrounding medium or supporting …

Optically stimulated synaptic devices are critical to the development of neuromorphic
computing with broad bandwidth and efficient interconnect. Although a few interesting …

Abstract Two‐dimensional (2D) materials show outstanding properties such as dangling
bond‐free surfaces, strong in‐plane while weak out‐of‐plane bonding, layer‐dependent …

Human brain outperforms the current von Neumann digital computer in many aspects, such
as energy efficiency and fault‐tolerance. Inspired by human brain, neuromorphic …

Micro-LED displays have been recognized as one of the most promising technologies for the
next-generation displays. This review focuses on the pixel-driving technology of micro-LED …

The conventional von-Neumann computing architecture is facing challenges including the
heat wall, the memory wall, and the end of Moore's law, which become even more severe in …