Traditional von Neumann computing systems involve separate processing and memory
units. However, data movement is costly in terms of time and energy and this problem is …

The volume, veracity, variability, and velocity of data produced from the ever increasing
network of sensors connected to Internet pose challenges for power management …

Capacitive membrane and inductive channels enable the approach of neural activities in
some equivalent neural circuits, and involvement of memristive term and magnetic flux can …

Neuromorphic computation is one of the axes of parallel distributed processing, and
memristor-based synaptic weight is considered as a key component of this type of …

Chaotic systems with memristor are favored by academia because of diversity of dynamics.
This brief reports a novel two-memristor-based 4D chaotic system. Numerical simulation …

Photonic solutions are today a mature industrial reality concerning high speed, high
throughput data communication and switching infrastructures. It is still a matter of …

In this study, we demonstrate the implementation of programmable threshold logics using a
32× 32 memristor crossbar array. Thanks to forming-free characteristics obtained by the …

Brain‐inspired neural networks can process information with high efficiency, thus providing
a powerful tool for pattern recognition and other artificial intelligent tasks. By adopting binary …

Deep analog artificial neural networks (ANNs) perform complex classification problems with
remarkably high accuracy. However, they rely on humongous amount of power to perform …

Support vector machine (SVM) is one of the most widely used classification algorithms. It
uses supervised learning method (Aizerman et al., Auto Remote Cont 25: 821–837, 1964) …