For the non-stop demands for a better and smarter society, the number of electronic devices
keeps increasing exponentially; and the computation power, communication data rate, smart …

An artificial intelligence of things (AIoT) chip is a critical hardware component in edge
devices that supports data acquisition and processing in the artificial intelligence (AI) era. In …

Real-time speech recognizers and translators rely on an always-on voice activity detector
(VAD) to enable and disable the main system for effective power savings. A feature extractor …

This article reports an area-and-power-efficient voice activity detector (VAD) for voice-control
edge devices. It innovates a short-time convolutional neural network (ST-CNN) and a …

This article reports a passive analog feature extractor for realizing an area-and-power-
efficient voice activity detector (VAD) for voice-control edge devices. It features a switched …

This article presents an energy-harvester-powered ultra-low power (ULP) vibration-based
condition monitoring (VbCM) chip with a digital compute-in-memory (CIM)-based deep …

Leakage reduction is crucial for always-on IoT applications in which static power
consumption of the memory cells accounts for a large proportion of the total power. Even …

Heterogeneous multi-sensor patch devices should meet the requirements of various
applications, and an adhesive interposer-based patch concept with integrated microscale …

A low-power keyword spotting (KWS) is demanding for the smart human-device interface.
The conventional analog feature extractor utilizes an analog filter bank that consumes large …

Analog computing-in-memory (CIM) macro has been widely used in various machine
learning (ML) applications, which parallelly perform energy-and area-efficient matrix-vector …