Department Publications

In this paper, we propose a method for duplicating digital circuits using neural networks (NNs). Our approach involves training a common neural network model on the inputs and outputs of existing digital circuits, creating a digital twin. This digital twin can be used to predict the outputs of a digital I'C, only using its inputs and this has been verified using counter circuits, and shift register circuits. Moreover, we have successfully validated the functionality duplication of digital logic in a robotic arm equipped with servo motors, further validating the utility of our approach.