Generative AI Augmented Induction-based Formal Verification

Generative Artificial Intelligence (GenAI) has demonstrated its capabilities in the present world that reduce human effort significantly. It utilizes deep learning techniques to create original and realistic content in terms of text, images, code, music, and video. Researchers have also shown the capabilities of modern Large Language Models (LLMs) used by GenAI models that can be used to aid hardware development. Formal verification is a mathematical-based proof method used to exhaustively verify the correctness of a design. In this paper, we demonstrate how GenAI can be used in induction-based formal verification to increase the verification throughput.

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Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1109/socc62300.2024.10737803
Citations
3
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
1.04

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article

Generative AI Augmented Induction-based Formal Verification

Aman Kumar, Deepak Narayan Gadde
3 citations
Semantic Web and Ontologies
1.04
article

Generative AI Augmented Induction-based Formal Verification

Aman Kumar, Deepak Narayan Gadde
article en
3 citations

Abstract

Generative Artificial Intelligence (GenAI) has demonstrated its capabilities in the present world that reduce human effort significantly. It utilizes deep learning techniques to create original and realistic content in terms of text, images, code, music, and video. Researchers have also shown the capabilities of modern Large Language Models (LLMs) used by GenAI models that can be used to aid hardware development. Formal verification is a mathematical-based proof method used to exhaustively verify the correctness of a design. In this paper, we demonstrate how GenAI can be used in induction-based formal verification to increase the verification throughput.

Infineon Technologies (Germany) (DE)
Ministry of Education
Openalex Percentile: Top 18%
Semantic Web and Ontologies
1.04
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