Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...

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

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

We also prove that the two sets of Maxwell equations only depend on the non-linear elations of the conformal group of ...

High performance liquid chromatography (HPLC) is a widely used and well-established technique, routinely employed by thousands of analytical scientists worldwide. Nonetheless, certain ...

Abstract: We utilize the Feature Decoupling Distributed (FDD) method to enhance the capability of deep learning to fit the Nonlinear Schrödinger Equation (NLSE), significantly reducing the NLSE loss ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

I have a very strong intuition preference”, says Michele Heisler, “which may drive you crazy, because I tend to be non-linear ...

Today, we share: the 2025 High Proportion of Renewable Energy Power Grid Multi-Section Limit Artificial Intelligence ...

This study offers a valuable theoretical framework for quantifying molecular transport across interfaces between coexisting liquid phases, emphasizing interfacial resistance as a central factor ...