AI RESEARCH
Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection
arXiv CS.LG
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ArXi:2605.19360v1 Announce Type: cross The rapid proliferation of AI-generated visual media has created an urgent need for efficient, trustworthy deepfake detection systems. However, existing deep learning-based detection methods rely on computationally intensive and energy-demanding inference algorithms, limiting their scalability.