With the down-scaling of CMOS technology, the design complexity of very large-scale
integrated is increasing. Although the application of machine learning (ML) techniques in …

In the context of hardware trust and assurance, reverse engineering has been often
considered as an illegal action. Generally speaking, reverse engineering aims to retrieve …

Analog IC placement is typically a manual process that requires strong experience and trial-
and-error iterations as it produces a large impact to circuit performance in a complicated …

This work introduces a generic, machine learning (ML)-based platform for functional reverse
engineering (RE) of circuits. Our proposed platform GNN-RE leverages the notion of graph …

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 …

ALIGN: A System for Automating Analog Layout Page 1 8 2168-2356/20©2020 IEEE
Copublished by the IEEE CEDA, IEEE CASS, IEEE SSCS, and TTTC IEEE Design&Test …

Driven by Moore's law, the chip design complexity is steadily increasing. Electronic Design
Automation (EDA) has been able to cope with the challenging very large-scale integration …

Analog layout synthesis requires some elements in the circuit netlist to be matched and
placed symmetrically. However, the set of symmetries is very circuit-specific and a versatile …

Graph neural networks (GNNs) have pushed the state-of-the-art (SOTA) for performance in
learning and predicting on large-scale data present in social networks, biology, etc. Since …

With continued scaling, the transistor aging induced by hot carrier injection (HCI) and bias
temperature instability (BTI) causes an increasing failure of nanometer-scale integrated …