Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Abstract: The flush air data sensing (FADS) method based on artificial neural networks (ANNs) has been widely studied and applied in air data sensing for advanced aircraft. Most current methods focus ...

MATI (Microstructural Analysis of Tissues by Imaging) v1.0 is a GPU-accelerated toolbox for microstructural diffusion MRI simulation and data fitting with a user-friendly graphical user interface.

Abstract: The improvement of parameter estimation accuracy depends on the increase of information. The purpose of structure-constrained scattered data fitting is to build a more accurate field by ...