Abstract: Accurate day-ahead forecasting of wind power generation, both deterministically and probabilistically, is crucial for reliable and efficient power system operations, and its significance ...
Abstract: Diffusion-based generative models have achieved remarkable success in image restoration by learning to iteratively refine noisy data toward clean signals. Inspired by this progress, recent ...
Opal One introduces Cognition as a Substrate (CaaS), enabling deterministic memory, persistent state, and compute without repeated re-inference. We didn’t build another model. We built the substrate ...
A theoretical framework introducing the Non-Turing Machine: a deterministic, structure-driven model of machine order based on UDML, formal axioms, functional intentionality, and the declarative L-OPS ...
A theoretical framework introducing the Non-Turing Machine: a deterministic, structure-driven model of machine order based on UDML, formal axioms, functional intentionality, and the declarative L-OPS ...
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