Due to the increasing importance of artificial intelligence (AI), significant recent effort has
been devoted to the development of neuromorphic circuits that seek to emulate the energy …

With the advent of the Internet of Things and big data, massive data must be rapidly
processed and stored within a short timeframe. This imposes stringent requirements on …

Neuromorphic computing targets the hardware embodiment of neural network, and device
implementation of individual neuron and synapse has attracted considerable attention. The …

Analogue in-memory computing using memristors could alleviate the performance
constraints imposed by digital von Neumann systems in data-intensive tasks. Conventional …

Memristors are novel devices, useful as memory at all hierarchies. These devices can also
behave as logic circuits. In this paper, the IMPLY logic gate, a memristor-based logic circuit …

Modern artificial intelligence (AI) systems, based on von Neumann architecture and classical
neural networks, have a number of fundamental limitations in comparison with the …

Lyapunov function provides feasible estimation and prediction of nonlinear system stability,
and useful guidance for adaptive control in chaos and synchronization approach. In case of …

Realizing logic operations within passive crossbar memory arrays is a promising approach
to enable novel computer architectures, different from conventional von Neumann …

The rapid development of artificial intelligence (AI), big data analytics, cloud computing, and
Internet of Things applications expect the emerging memristor devices and their hardware …

Humanoid robots, intelligent machines resembling the human body in shape and functions,
cannot only replace humans to complete services and dangerous tasks but also deepen the …