Rapid developments in semiconductor technology have substantially increased the
computational capability of computers. As a result of this and recent developments in theory …

Recently, there have been many studies attempting to take advantage of advancements in
Artificial Intelligence (AI) in Analog and Mixed-Signal (AMS) circuit design. Automated circuit …

Machine Learning (ML) has shown promising results in predicting the behavior of analog
circuits. However, in order to completely cover the design space for today's complicated …

Analog integrated circuit design is widely considered a time-consuming task due to the
acute dependence of analog performance on the transistors' and passives' dimensions. An …

The use of machine learning-based techniques has expanded to many areas that require
optimization. One of such area is Integrated Circuit (IC) design and sizing optimization …

In this paper, the use of machine learning techniques to repurpose already available Pareto
optimal fronts of analog integrated circuit blocks for new contexts (loads, supply voltage, etc.) …

Artificial intelligence (AI) and machine learning (ML) techniques have been increasingly
used in several fields to improve performance and the level of automation. In recent years …

Automated design of analog and radio-frequency circuits using supervised or reinforcement
learning from simulation data has recently been studied as an alternative to manual expert …

This brief discusses the use of Artificial Intelligence (AI) to manage the operation and
improve the performance of Analog-to-Digital Converters (ADCs) based on Sigma-Delta …

In this paper, an exploratory research using artificial neural networks (ANNs) is conducted to
automate the placement task of analog IC layout design. The proposed methodology …