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Hybrid Renormalization In Lattice Calculation Published

Modernity/arxiv 2h1h Impact 7
A new architecture for hybrid brain-computer interfaces, called SwitchBraidNet, has been published. This architecture integrates motor imagery and steady-state visual evoked potentials to provide high-dimensional data. The work was presented at the 2025 International Conference on the Structure of Baryons. A new paper has been published detailing hybrid renormalization techniques for lattice calculations.

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BCI AI Machine Learning

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Sources · 7 independent

Modernity/arxiv

“SwitchBraidNet: Quantisation-Aware Lightweight Architecture for Hybrid Brain-Computer Interface. Authors: Gourav Siddhad, Yogesh Kumar Meena Abstract: Hybrid brain-computer interfaces (BCIs) that integrate motor imagery (MI) and steady-state visual evoked potentials (SSVEP) provide high-dimensio...”

Modernity/arxiv

“Hybrid renormalization in lattice calculation of baryon LCDAs. Authors: Mu-Hua Zhang Abstract: At the 2025 International Conference on the Structure of Baryons (Baryons 2025), I presented our recent progress in lattice calculations of baryon light-cone distribut...”

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arXiv

“A paper has been published on hybrid renormalization in lattice calculation.”

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