With the increasing popularity of the Internet of Things and massive Machine Type
Communication technologies, the number of connected devices is rising. However, although …

Recent advancements in hardware and software systems have been driven by the
deployment of emerging smart health and mobility applications. These developments have …

Low-power keywords recognition has been a focus of acoustic signal processing for several
decades. This work investigates the domain-specific speech recognition microprocessor …

This paper presents the design and development of Signed Carry Disregard Multiplier
(SCDM8), a family of signed approximate multipliers tailored for integration into …

An ultra-low power always-on keyword spotting (KWS) accelerator is implemented in 22nm
CMOS technology, which is based on an optimized convolutional neural network (CNN). To …

The challenging deployment of compute-intensive applications from domains such Artificial
Intelligence (AI) and Digital Signal Processing (DSP), forces the community of computing …

Recent years have seen deployments of increasingly complex artificial intelligent (AI) and
machine learning techniques being implemented on cloud server architectures and …

This paper proposed an energy-efficient reconfigurable accelerator for keyword spotting
(EERA-KWS) based on binary weight network (BWN) and fabricated in 28-nm CMOS …

Purpose Multipliers that form the basic building blocks in most of the error-resilient media
processing applications are computationally intensive and power-hungry modules …

Approximate computing is one of the methods to improve performance in various error-
resilient applications such as image and video processing. Multipliers are part of their …