Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Abstract: In this work, we present a CMOS-based sampling circuit to produce random numbers of non-parametric densities for Monte Carlo-based methods. Scaling of purely algorithmic Monte Carlo sampling ...
Abstract: The rising popularity of deep neural networks (DNNs) in computer vision has raised concerns about their robustness in the real world. Recent works in this field have well-demonstrated the ...
Right now, molecules in the air are moving around you in chaotic and unpredictable ways. To make sense of such systems, ...
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