The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …

Ferroelectric materials play an important role in a wide spectrum of semiconductor
technologies and device applications. Two-dimensional (2D) van der Waals (vdW) …

The co-integration of logic switches and neuromorphic functions could be used to create
new computing architectures with low power consumption and novel functionalities. Two …

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 …

With the advent of the big data era, applications are more data-centric and energy efficiency
issues caused by frequent data interactions, due to the physical separation of memory and …

Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …

Flexible neuromorphic electronics that emulate biological neuronal systems constitute a
promising candidate for next‐generation wearable computing, soft robotics, and …

A neuromorphic visual system integrating optoelectronic synapses to perform the in‐sensor
computing is triggering a revolution due to the reduction of latency and energy consumption …

Ferroelectric materials are promising candidates for synaptic weight elements in neural
network hardware because of their nonvolatile multilevel memory effect. This feature is …

Humans can clearly perceive surroundings efficiently while consuming little energy because
of human intelligence and powerful vision system. Thus, it has been a long‐sought dream …