System and Methods for Multi-Modal Data Authentication Using Neuro-Symbolic AI

Abstract: a method for generating a multimodal forensic report using hybrid metric learning and signature-based models is disclosed herein. the method involves receiving and preprocessing sensory data, extracting features using ai models, applying reasoning for anomaly detection and classification, and integrating spatiotemporal, multimodal ai representation learning, and symbolic knowledge. dynamic domain-specific knowledge is generated by applying data-driven and ontology knowledge to the model. explanations are generated using unimodal and multimodal reasoning, and associated features are sorted, prioritized, and indexed in a structured format.

Inventor(s): Khalid Mahmood Malik, Ijaz ul Haq

CPC Classification: G06V20/95 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)

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