In the era of the Internet of Things, vast amounts of data generated at sensory nodes impose
critical challenges on the data‐transfer bandwidth and energy efficiency of computing …

Nowadays, always-on intelligent and self-powered visual perception systems have gained
considerable attention and are widely used. However, capturing data and analyzing it via a …

This work proposes a Processing-In-Sensor Accelerator, namely PISA, as a flexible, energy-
efficient, and high-performance solution for real-time and smart image processing in AI …

Convolutional neural networks (CNNs) have been gaining popularity in recent years, and
researchers have designed specialized architectures to speed up the inference process …

In this work, a high-speed and energy-efficient comparator-based Near-Sensor Local Binary
Pattern accelerator architecture (NS-LBP) is proposed to execute a novel local binary …

Artificial-intelligence-powered edge devices are inspiring interest in always-on, intelligent,
and self-powered visual perception systems. Due to the high energy cost of converting raw …

In the Artificial Intelligence of Things (AIoT) era, always-on intelligent and self-powered
visual perception systems have gained considerable attention and are widely used. Thus …

Modern artificial intelligence systems based on neural networks need to perform a large
number of repeated parallel operations quickly. Without hardware acceleration, they cannot …

As an emerging post-CMOS Field Effect Transistor, magneto-electric field-effect transistors
(MEFETs) offer compelling design characteristics for logic and memory applications, such as …

The surge in the number of normally-off power-constraint Internet of Things (IoT) devices in
recent years has amplified the demand for high-performance and energy-efficient in-memory …