The use of explainable AI allows for transparent identification of critical drivers, offering policymakers actionable ...

The ad world is shifting as brands adopt hybrid formats that blend traditional and digital touchpoints, creating immersive ...

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 ...

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

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Abstract: In deep learning models, the increasing complexity of activation functions makes hardware optimization crucial. This paper proposes an efficient computation framework for 4 elementary ...

This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...

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

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 ...

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 ...

Erian, Allianz Chief Economic Advisor, warned that the labor market poses the biggest risk to the U.S. economy, despite sticky inflation. The current “low hiring and low firing” environment appears ...