International Journal on Science and Technology

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Cluster-Aware Multimodal Transformer System

Author(s) Dr. Gomathi A A, Mr. Ayyappan R R, Mr. Kathirvel M M, Ms. Varsini S S, Mr. Praveen G G, Mr. Chandru P P, Mr. Soundarajan A A
Country India
Abstract The Cluster-Aware Multimodal Transformer architecture is designed for scalable, distributed multimodal AI processing, enabling efficient handling of text, image, and multimodal data using transformer models deployed across clusters. The design emphasizes real-time inference, memory efficiency, modular extensibility, and continual learning using modern distributed systems.
Keywords Cluster-Aware Transformer, Multimodal Fusion, Transformer Architecture, Vision-Language Models, Distributed Transformer System, Modality-Aware Embeddings, Scalable Deep Learning.
Field Engineering
Published In Volume 16, Issue 3, July-September 2025
Published On 2025-08-02
DOI https://doi.org/10.71097/IJSAT.v16.i3.7170
Short DOI https://doi.org/g9w9q9
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