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New memristor design uses built-in oxygen gradient to bring stability to reinforcement learning
In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement ...
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How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
This important paper substantially advances our understanding of how Molidustat may work, beyond its canonical role, by identifying its therapeutic targets in cancer. This study presents a compelling ...
BACKGROUND: Preeclampsia affects approximately 1 in 10 pregnancies, leading to severe complications and long-term health ...
Abstract: Conventional Ant Colony Optimization (ACO) exhibits slow convergence and high parameter sensitivity in unstructured continuous optimization. This paper proposes Gradient-Adaptive Step ACO ...
Abstract: The advantages of high temporal resolution and high dynamic range provided by event cameras are particularly suitable for moving object detection, especially in scenarios with motion blur ...
In chapter 4.1, we evaluate the performance of the proposed optimization algorithm through a series of synthetic experiments involving objective functions with varying landscape characteristics.
A new computational study suggests the Great Pyramid of Giza was built using a sophisticated "Integrated Edge-Ramp" (IER) system, potentially solving a 4,500-year-old architectural enigma. This model ...
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