Bijan Tadayon

TL;DR: In this paper, the authors introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like.

TL;DR: In this article, the first application of general-AI is described, which covers new algorithms, methods, and systems for: Artificial Intelligence; the first applications of General-AI. (versus Specific, Vertical, or Narrow-AI) (as humans can do) (which also includes Explainable-AI or XAI); addition of reasoning, inference, and cognitive layers/engines to learning module/engine/layer; soft computing; Information Principle; Stratification; Incremental Enlargement Principle; deep-level/detailed recognition, e.g.,

TL;DR: In this article, a point-of-capture system for managing use of items having usage rights associated therewith including a point of capture system adapted to generate content of a future event when the event occurs, a content distributor adapted to distribute the license before the content is created, the distribution key being encrypted with a public key.

TL;DR: An enforceable property right and a system for controlling the manner of use of an item in accordance with usage rights was defined in this article. But the enforcement of such a right was not discussed.

TL;DR: In this article, a hierarchy of rights associated with a document (100) is created that provides a tree-type structure of rights extending from the content owner down through one or more users.