A system to electronically generate original content may include a Cognitive Memory Augmented Network (“CAMN”) that ingests data from structured and unstructured sources and organizes it in a neural network. Generic and/or custom decomposition may ensure that the data sources are broken down inside the CAMN to individual elements of reusable data. A Cognitive Gateway Interface (“CGI”) may make data available inside the CAMN accessible to processes such as cognitive search, content extraction, and/or summarization. A feedback mechanism may ingest human thought and convert the feedback to introduce original content into an output. With an enriched CAMN built upon substantial digital content, the system may learn deep semantic meaning and understanding based on content. The system may create and curate new articles, and an assistant system may work as interpreter of content. The system may help with complex research on advanced topics and provide personalized and/or customized reports.
SYSTEMS AND METHODS PROVIDING A COGNITIVE AUGMENTED MEMORY NETWORK