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Abstract: Outlier detection is an effective technique for identifying abnormal samples in complex data. Random walks effectively detect outliers by analyzing graph transition patterns. However, ...

Researchers have developed a chip-based quantum random number generator that provides high-speed, high-quality operation on a miniaturized platform. This advance could help move quantum random number ...

Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.

If your name gets picked for jury duty, it’s because a computer used a random number generator to select it. The same goes for tax audits or when you opt for a quick pick lottery ticket. But how can ...

Summary: Random numbers help us secure everything from bank accounts to classified servers. And yet, that essential layer of security can be spoofed. New research from the Oak Ridge National ...

Abstract: The human society has entered the era of information explosion, and it is more difficult to obtain the desired information from the mass information. In large-scale corpus research, fast and ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

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