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Complex computer systems such as 5G networks and smart transportation have the potential to transform the world, but electrical and biomedical engineering Assistant Professor Hao Xu sees a stumbling ...

The collection of data at regular intervals over time is common in many fields but particularly so in environmental, transportation and biological research. Such data are used to monitor and record ...

Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing ...

Abstract: Autonomous cyberphysical systems hold the promise to positively transform many tasks, for example transportation, collecting scientific data in hazardous environments, and monitoring objects ...

We argue that deep learning provides a promising avenue for taming the curse of dimensionality in quantitative economics. We begin by exploring the unique challenges posed by solving dynamic ...

We prove the curse of dimensionality for multivariate integration of Cr functions: The number of needed function values to achieve an error 𝜖 is larger than Cr(1 ...

We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids to overcome the curse of dimensionality for approximations. We apply sparse ...

Arguably, all of scientific inquiry in modern times begins with some sort of model. A model takes different parameters you are studying and uses them to make some claim about how our world works. It ...