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 complex dynamics of the baker's map and its variants in infinite-precision mathematical domains and quantum settings have been extensively studied over the past five decades. However, ...

Abstract: This brief investigates event-triggered time-varying grouping formation (TVGF) problem for generic linear homogeneous multi-agent systems under directed graphs. A distributed adaptive ...

The AI race between the U.S. and China continues to simmer, despite strict technology restrictions in place. Thanks to a strict embargo, U.S. companies have been restricted from supplying critical AI ...