Deep Neural Networks (DNNs) are very popular because of their high performance in
various cognitive tasks in Machine Learning (ML). Recent advancements in DNNs have …

An evident challenge ahead for the integrated circuit (IC) industry is the investigation and
development of methods to reduce the design complexity ensuing from growing process …

The automatic generation of RTL code (eg, Verilog) using natural language instructions and
large language models (LLMs) has attracted significant research interest recently. However …

Inspired by the recent success of large language models (LLMs) like ChatGPT, researchers
start to explore the adoption of LLMs for agile hardware design, such as generating design …

The electronic design automation (EDA) industry develops software to support engineers in
the creation of new integrated circuit (IC) designs. Due to the high complexity of modern …

The design automation community has been actively exploring machine learning (ML) for
very-large-scale-integrated (VLSI) computer-aided design (CAD). Many studies have …

Understanding how professionals use digital fabrication in production workflows is critical for
future research in digital fabrication technologies. We interviewed thirteen professionals who …

In modern VLSI design flow, the register-transfer level (RTL) stage is a critical point, where
designers define precise design behavior with hardware description languages (HDLs) like …

The increasing complexity and size of design space poses significant challenges for
integrated circuit (IC) design. This article discusses the potential of machine learning (ML) …

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 …