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

Approximate computing (AC) represents a paradigm shift from conventional precise
processing to inexact computation but still satisfying the system requirement on accuracy …

Approximate computing (AC) techniques have been leveraged to improve computing
performance and energy efficiency with minor degradation in accuracy. Recent literature …

Approximate computing techniques that trade accuracy for better computing performance
and energy efficiency have been widely used in many computation-intensive applications …

Artificial Intelligence (AI) has been widely applied to homeland security to speed up target
recognition, threat analysis, and decision-making. The intensive computation required by AI …

Approximate Computing (AC) has emerged as a promising technique for achieving energy-
efficient architectures and is expected to become an effective technique for reducing the …

Approximate computing (AC) has emerged in response to the growing need for energy-
efficient solutions. AC can be implemented either in hardware or software and involves …

Automated frameworks for approximate accelerator synthesis employ an iterative search-
based approach to generate approximate instances of hardware. While offering distinct …

Approximate computing techniques for error-tolerant machine learning applications are
gaining interest, promising a energy-accuracy balance for modern digital computing …

Approximate Computing (AC) techniques have been leveraged to improve computing
performance and energy efficiency with minor degradation in accuracy. Different than …