With the booming growth of artificial intelligence (AI), the traditional von Neumann
computing architecture based on complementary metal oxide semiconductor devices are …

Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …

Deep learning has become ubiquitous, touching daily lives across the globe. Today,
traditional computer architectures are stressed to their limits in efficiently executing the …

We propose a hardware-friendly architecture of a convolutional neural network using a 32×
32 memristor crossbar array having an overshoot suppression layer. The gradual switching …

Homomorphic encryption performs computations on encrypted data without decrypting,
thereby eliminating security issues during the data communication between clouds and …

Costly data movement in terms of time and energy in traditional von Neumann systems is
exacerbated by emerging information technologies related to artificial intelligence. In …

A wide reservoir computing system is an advanced architecture composed of multiple
reservoir layers in parallel, which enables more complex and diverse internal dynamics for …

Recently, the rising demand for data-based applications has driven the convergence of
image sensing, memory, and computing unit interfaces. While specialized electronic …

Device and algorithm co-design aims to develop energy-efficient hardware that directly
implements complex algorithms and optimizes algorithms to match the hardware's …

Inspired by human brain, the emerging analog‐type memristor employed in neuromorphic
computing systems has attracted tremendous interest. However, existing analog memristors …