Selecting a random sample from a set is simple. But what about selecting a fair random sample from a set of unknown or ...

Specifically, it provides efficient data sampling via curriculum learning, and efficient data routing via random layerwise token dropping. DeepSpeed Data Efficiency takes extensibility, flexibility ...

Effective and noninvasive whale and biodiversity monitoring is now possible with the help of citizen scientists, opening up ...

This work marks the first practical use of boson sampling, long seen as a key demonstration of quantum computing’s potential to outperform classical methods. The researchers used computer simulations ...

Examples of Concurrent Control in Management. Concurrent control is a management technique used to monitor processes and behaviors to ensure they conform to regulations and standards. The ...

This article presents a novel approach to the reconstruction of narrowband signals using undersampling techniques. Traditional sampling methods, which adhere to the Nyquist theorem, often require high ...

Although the direct sampling method (DSM) has demonstrated its feasibility and robustness for imaging of small inhomogeneities, mathematical analyses of DSM have been conducted only on the ...

Clinical trial samples collected for pharmacogenomic and future research are vital resources for the development of safe and effective drugs, yet collecting adequate, representative sample sets in ...

The metabolic potential and activity of deep-sea microbes have not been fully explored by meta-transcriptomics using the samples obtained by different sampling methods. Here, we report active deep-sea ...