Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL)
techniques, which rely on networks of connected simple computing units operating in …

As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …

With the end of Moore's law in sight, new computing architectures are urgently needed to
satisfy the increasing demands for big data processing. Neuromorphic architectures with …

A memristor with a bilayer electrolyte structure (Pt/C/NbOx/TiN) is proposed as a self-
rectification and quasi-linear electronic synapse. The device shows self-rectifying analogue …

As memristor-simulating synaptic devices have become available in recent years, the
optimization on non-linearity degree (NL, related to adjacent conductance values) is …

High density memory storage capacity, in-memory computation and neuromorphic
computing utilizing memristors are expected to solve the limitation of von-Neumann …

Artificial synapses based on memristors are used in emulating the synaptic plasticity
behavior of a human brain. Here, we have proposed a transparent memristor based on …

The advance in conventional silicon based semiconductor industry is now becoming
indeterminacy as it still along the road of Moore's Law and concomitant problems associated …