Taking a completely different approach, this paper investigates the use of randomized algorithms that operate directly on the raw acoustic features to produce sparse approximate similarity matrices in ...

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Physicists at the National Institute of Standards and Technology in Boulder, Colorado, have upgraded their previously developed quantum-based method for true random number generation. Thanks to ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Imagine you could step into a real, honest-to-goodness time machine. Where would you go? Perhaps more importantly, what would ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.