Abstract: Using the derivative of Boolean functions and the e-derivative defined by ourselves as research tools, we study the problem of derivative differential ...

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“It is going to be necessary that everything that happens in a finite volume of space and time would have to be analyzable with a finite number of logical operations.” ...

Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...

Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...

Your brain is a liar. It makes assumptions not rooted in fact, draws conclusions that are more about fear than any kind of logical argument, and has insights often manipulated by the media and other ...