Efficient Design of Majority-Logic-Based Approximate Arithmetic Circuits

Majority-logic-based approximate arithmetic circuits have emerged as a promising alternative to traditional arithmetic circuits, as they offer a trade-off between accuracy and power consumption. To design efficient majority-logic-based approximate arithmetic circuits, several steps need to be taken, including determining the precision requirements, choosing the approximation technique, designing the circuit architecture, optimizing the circuit, and verifying the circuit. This paper presents an overview of the steps involved in designing efficient majority-logic-based approximate arithmetic circuits and highlights some of the key challenges and opportunities in this field. The paper also discusses some recent advances in the design of efficient majority-logic-based approximate arithmetic circuits and their potential applications in machine learning and image processing.