1. Introduction

Digital IC Functionality Duplication

Digital circuits are an essential part of modern technology, and they are used in a wide range of applications, from computers and smartphones to medical equipment and automotive systems. Designing and testing new digital circuits can be a complex and time-consuming process, which can make it difficult for small or medium-sized businesses or individuals to develop new circuits. However, recent advances in machine learning and neural networks have opened up new possibilities for replicating the functionality of digital circuits using artificial intelligence. In this project, we aim to develop a common neural network model that can be used to train multiple different digital circuits. By observing the inputs and outputs of existing digital circuits and using them to train a neural network, we hope to create a flexible, cost-effective, and fault-tolerant solution for digital circuit design. Our project has the potential to reduce the cost and time required for designing and testing new circuits, make digital circuit design more accessible to a wider range of people, and improve the safety and reliability of digital circuits in safety-critical applications.