Abstract: A document editor is configured to leverage a file format which defines sections of content in a dynamic tree structure. The dynamic tree structure defines sections in an arbitrarily ordered sequence of sibling nodes where each section may be atomic. Using this dynamic tree structure, the document editor can dynamically render the content of the sections and provide a number of enhanced functions to simplify the drafting and management of legal documents.

Abstract: Systems and methods for conducting transactions using hybrid credit/charge financial instruments are disclosed.

Abstract: A method to predict churn includes obtaining static features representative of a customer of a service, obtaining time series features representative of the customers interaction with the service, using a deep neural network to process the static features, using a recurrent neural network to process the time series features; and combining outputs from the deep neural network and the recurrent neural network to predict likelihood of customer churn.