Despite the research efforts in the last years, Denial-of-Service (DoS) attacks detection still
represent a challenge for the Internet of Things (IoT) scenarios composed of hard …

A Review of Machine Learning in Logic Synthesis Page 1 Journal of Integrated Circuits and
Systems, vol. 17, n. 03, 2022 1 A Review of Machine Learning in Logic Synthesis Augusto Berndt 1 …

Logic Synthesis (LS) plays a vital role in chip design--a cornerstone of the semiconductor
industry. A key task in LS is to transform circuits--modeled by directed acyclic graphs (DAGs) …

Designing high-performance adders and multiplier components for diverse specifications
and constraints is of practical concern. However, selecting the best architecture for adder or …

Logic synthesis tools face tough challenges when providing algorithms for synthesizing
circuits with increased inputs and complexity. Traditional approaches for logic synthesis …

Logic Synthesis (LS) aims to generate an optimized logic circuit satisfying a given
functionality, which generally consists of circuit translation and optimization. It is a …

With the recent advances in the Machine Learning field, alongside digital circuits becoming
more complex each day, machine learning based methods are being used in error-tolerant …

Logic synthesis tools face tough challenges when providing algorithms for synthesizing
circuits with increased inputs and complexity. Machine learning techniques show high …

The growing interest in Explainable Artificial Intelligence (XAI) motivates promising studies
of computing optimal Interpretable Machine Learning models, especially decision trees …

Recent years have seen promising studies on machine learning (ML) techniques applied to
approximate logic synthesis (ALS), especially based on logic reconstruction from samples of …