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Radio spectrum is pricey. Operators drop billions at auction to lock down licensed frequency bands, and every single ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

From litigation to federal prisons to criminal investigations, artificial intelligence appears to have touched nearly every corner of the Department of Justice in the past year. Just two years ago, ...

Abstract: Predictive coding is a theory developed to explain how the brain predicts statistical regularities present in nature and eliminates redundant stimuli between cortical layers. A common method ...

Self-supervised reinforcement learning is a technique where agents learn useful representations and skills from the environment through self-generated tasks, such as predicting next states or learning ...

And meta-regression further revealed an evaluation in predictive accuracy in prospective study designs (regression coefficient=2.289, P=0.001). Conclusions: Unlike previous narrative reviews, this ...

Summary: A new preclinical study reveals that the hippocampus does more than just store memories; it actively reorganizes them to predict future rewards. By tracking brain activity over several weeks, ...