Multimodal Conversational AI: From Perceptual Fusion to Collaborative Intelligence

Authors

  • Panneer Selvam Viswanathan

Keywords:

Multimodal Conversational AI, Transformer Architectures, Agentic Capabilities, Cross Modal Reasoning, Collaborative Intelligence

Abstract

These multimodal conversational systems are defined as systems that allow for natural languageprocessing alongside visual, audio, and structured data on a shared computing architecture. Mostmultimodal conversational systems use transformer architectures that incorporate modality-specificencoders and shared representational layers

References

Xiang Yue, et al., "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI," arxiv, 2023. [Online]. Available: https://arxiv.org/abs/2311.16502

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Published

2026-01-31

How to Cite

Panneer Selvam Viswanathan. (2026). Multimodal Conversational AI: From Perceptual Fusion to Collaborative Intelligence . Journal of Computational Analysis and Applications (JoCAAA), 35(1), 988–996. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4825

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Section

Articles