We are still trying to solve exponential problems with linear instincts. As megatrends converge over the next five to 10 years, they will render the old playbook obsolete.

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

The rapid identification of respiratory virus outbreaks is needed to enable rational and effective public health interventions. We developed new quantitative approaches for simultaneous ...

This makes it a Hermitian Toeplitz matrix. Analytical expressions for the eigenvectors of the exponential correlation matrix are presented, and closed form approximations of the eigenvalues for the ...

In this paper, we propose a versatile graph inference framework for learning from graph signals corrupted by exponential family noise. Our framework generalizes previous methods from continuous smooth ...

Explore the limitations of Pearson correlation when analyzing non-linear relationships in data analytics and how it affects your insights.

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Add a description, image, and links to the exponential-correlation-time topic page so that developers can more easily learn about it ...