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Author withdraws Akasha 2 multimodal AI architecture paper

A research paper, Akasha 2, has been withdrawn by its author, Yani Meziani, shortly after its submission. The paper introduced a multimodal architecture integrating Hamiltonian State Space Duality with a Visual-Language Joint Embedding Predictive Architecture, utilizing Mamba-3 and a Sparse Mixture of Hamiltonian Experts. It claimed advancements in video prediction, visual synthesis speed, and inference speed, while enforcing energy conservation through physics-inspired inductive biases. AI

排序理由 The cluster contains a withdrawn academic paper, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

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  1. arXiv cs.AI TIER_1 English(EN) · Yani Meziani ·

    Akasha 2: Hamiltonian State Space Duality and Visual-Language Joint Embedding Predictive Architectur

    arXiv:2601.06212v2 Announce Type: replace-cross Abstract: We present Akasha 2, a state-of-the-art multimodal architecture that integrates Hamiltonian State Space Duality (H-SSD) with Visual-Language Joint Embedding Predictive Architecture (VL-JEPA). The system leverages the Mamba…