The Role of AI in Digital Circuit Design

Artificial Intelligence (AI) is increasingly being applied to digital circuit design to assist with circuit analysis, optimization, and automation. This study examines the role of AI in digital circuit design, focusing on Graph Neural Networks (GNNs), Reinforcement Learning (RL), and Generative AI. These approaches can assist in analyzing circuit structures, exploring design alternatives, and improving factors such as power, performance, and area. The study also discusses applications of AI in circuit optimization, design space exploration, and automated circuit design. Despite its potential, AI-assisted circuit design faces challenges involving data availability, design verification, computational resources, and reliability. Overall, AI can serve as an assisting technology that complements conventional Electronic Design Automation (EDA) tools and supports the development of more efficient digital circuits.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-19
DOI
https://doi.org/10.5281/zenodo.22845343
Primary Topic
VLSI and FPGA Design Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of AI in Digital Circuit Design

Rainer Marc Bindoy
Zenodo (CERN European Organization for Nuclear Research)
VLSI and FPGA Design Techniques
article

The Role of AI in Digital Circuit Design

Rainer Marc Bindoy
article en

Abstract

Artificial Intelligence (AI) is increasingly being applied to digital circuit design to assist with circuit analysis, optimization, and automation. This study examines the role of AI in digital circuit design, focusing on Graph Neural Networks (GNNs), Reinforcement Learning (RL), and Generative AI. These approaches can assist in analyzing circuit structures, exploring design alternatives, and improving factors such as power, performance, and area. The study also discusses applications of AI in circuit optimization, design space exploration, and automated circuit design. Despite its potential, AI-assisted circuit design faces challenges involving data availability, design verification, computational resources, and reliability. Overall, AI can serve as an assisting technology that complements conventional Electronic Design Automation (EDA) tools and supports the development of more efficient digital circuits.

Zenodo (CERN European Organization for Nuclear Research)
El Colegio de México (MX)
Industry, innovation and infrastructure
Openalex Percentile: Top 20%
VLSI and FPGA Design Techniques
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