Abstract: An electronic device comprising a cell region comprising stacks of alternating dielectric materials and conductive materials. A pillar region is adjacent to the cell region and comprises storage node segments adjacent to adjoining oxide materials and adjacent to a tunnel region. The storage node segments are separated by a vertical portion of the tunnel region. A high-k dielectric material is adjacent to the conductive materials of the cell region and to the adjoining oxide materials of the pillar region. Additional electronic devices are disclosed, as are methods of forming an electronic device and related systems.

Abstract: A system, method, and apparatus are provided for disambiguating organization names. Selected names that are shared among multiple organizations may or may not be categorized or characterized (e.g., by industry, by size, by reach). As content items are received (e.g., news stories, magazine articles, social media content), occurrences of the selected names are identified. Each item that includes at least one name is processed to determine which of the multiple entities that have the name (if any) is the organization referenced or mentioned in the item. The same model may be applied to disambiguate all names or, depending on the name's categorization, different models or procedures may be applied to disambiguate the name.

Abstract: A system, apparatus, and method are provided for configuring web feeds for users/subscribers. A user identifies a topic of interest, which may be a person, organization, event, place, concept, or other thing. A content processor analyzes content items received from a multitude of publishers' feed to identify their topics. A relevance score regarding each associated topic is calculated for each of the received items and, for each user that subscribed to the topic, the item's relevance score is compared to a user-specific threshold relevance score to determine whether to add it to the user's feed. The threshold relevance score for a topic for a user is computed based on factors such as the average relevance scores of the topic's content items, the standard deviation, the user's relationship with the topic, a target frequency with which items corresponding to the topic should be offered to the user, etc.