As snacking continues to evolve from a mindless indulgence to a more functional and intentional activity, economic and health pressures are reshaping how consumers approach the snack aisle, according ...

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In our day-to-day lives, we're constantly making a slew of decisions, from immediate matters to prospects on the far horizon. But the evolutionary nuts-and-bolts of how our brains weigh these numerous ...

Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...

ABSTRACT: Based on theorems, the Atomic AString Functions theory, evolving since the 1970s, is introduced into Quantum Mechanics to represent a wave function via the shifts and stretches of smooth ...

For many businesses, compliance functions are frequently perceived as a cost center—an unavoidable expense that doesn't directly correlate to revenue growth. In some organizations, compliance teams ...

A businesswoman, using a tape measure, reaches up to measure her piece of the pie on a large pie chart that is projected onto a concrete wall. The legal function’s enterprise value is much larger than ...

Abstract: This letter derives rates of convergence of online critic methods for the estimation of the value function for a class of nonlinear optimal control problems. Assuming that the underlying ...

In recent years, neural networks have once again triggered an increased interest among researchers in the machine learning community. So-called deep neural networks model functions using a composition ...