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 ...

As AI reshapes how businesses generate demand, marketing leaders are poised to own commercial outcomes. Here's why alignment ...

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 investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...

This is no AI illusion. A perfect storm appears to be gathering around the world of generative artificial intelligence that ...

Your aerobic capacity is a key indicator of your heart health. You can improve your aerobic capacity through consistent ...

Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...

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

The physicist and hedge fund manager on why the efficient markets theory is ‘all wrong’, economists with ‘mathematics envy’ — and what Camus can teach us about compromise ...

Introduction The global market for electronic cigarettes (e-cigarettes) has been changing rapidly. There is limited research ...

Abstract: Nonlinear functions (NFs) in Transformers require high-precision computation consuming significant time and energy, despite the aggressive quantization schemes for other components.

Background Postoperative cerebral infarction following coronary artery bypass grafting (CABG) for multivessel coronary artery ...