Approximate computing has emerged as a new paradigm for high-performance and energy-
efficient design of circuits and systems. For the many approximate arithmetic circuits …

Approximate Computing has emerged as a propitious solution for faster, energy-efficient and
less complex designs for circuits. Approximate arithmetic circuits are a type of circuit that …

As the artificial intelligence and Internet of Things (AIoT) develop rapidly, the deployment of
artificial neural networks in edge computing is becoming significant with great challenge …

In spite of the rapidly increasing number of approximate designs in circuit logic stack for
Artificial Neural Networks (ANNs) learning. A principled and systematic approximate …

Approximate computing (AxC) has recently emerged as a successful approach for
optimizing energy consumption in error-tolerant applications, such as deep neural networks …

In this paper, we present an error estimation and propagation technique which targets high-
level design abstraction through considering data-flow graph (DFG) representation of …

Due to the significance and broad utilization of adders in computing systems, the design of
low-power approximate adders (LPAAs) has received a significant amount of attention from …

Approximate circuit design has gained significance in recent years targeting error-tolerant
applications. In the literature, there have been several attempts at optimizing the number of …

Approximate adders are some of the fundamental arithmetic operators that are being
employed in error-resilient applications, to achieve performance/energy/area gains. This …

Approximate computing has emerged as a viable approach to enhance the energy efficiency
of circuits by striking a balance between quality of service and hardware cost. A crucial …