AI-Driven VLSI Chips for Multi-Language Detection, Identification, and Plagiarism Detection

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Authors: Venkategowda N.
Cited by: 0

Abstract

This paper presents the design and implementation of AI-powered VLSI chips for multi-language detection, identification, and plagiarism detection. Leveraging machine learning algorithms and specialized hardware accelerators, our chips achieve high accuracy and efficiency, making them suitable for applications in language translation, content authentication, and intellectual property protection.

Fields of Study & Subjects

Physical Unclonable Functions (PUFs) and Hardware Security Low-power high-performance VLSI design Embedded Systems Design Techniques

Publication details

Journal / source
ಅಕ್ಷರಸೂರ್ಯ (AKSHARASURYA)
Publication date
28 February 2026
Language
EN