Embodiments of systems, apparatuses, and methods for performing vector-packed controllable sine and/or cosine operations in a processor are described. For example, execution circuitry executes a decoded instruction to compute at least a real output value and an imaginary output value based on at least a cosine calculation and a sine calculation, the cosine and sine calculations each based on an index value from a packed data source operand, add the index value with an index increment value from the packed data source operand to create an updated index value, and store the real output value, the imaginary output value, and the updated index value to a packed data destination operand.

A computation device includes: a list generation unit that generates a list indicating element values of first elements comprised in a plurality of computational matrices having equal numbers of rows and columns, the element values being indicated for the respective positions of the first elements in the computational matrices; and a computation execution unit that carries out computation based on the element values of the first elements indicated in the list and the element values of second elements comprised in a partial matrix belonging to a computation target matrix and having the same number of rows and columns as the computational matrices.

A computation device includes: a list generation unit that generates a list indicating element values of first elements comprised in a plurality of computational matrices having equal numbers of rows and columns, the element values being indicated for the respective positions of the first elements in the computational matrices; and a computation execution unit that carries out computation based on the element values of the first elements indicated in the list and the element values of second elements comprised in a partial matrix belonging to a computation target matrix and having the same number of rows and columns as the computational matrices.

Joining data using a disjunctive operator using a lookup table is described. An example computer-implemented method can include receiving a query with a set of conjunctive predicates and a set of disjunctive predicates. The method may also include generating a lookup table for each predicate in the sets of conjunctive predicates and disjunctive predicates. The method, for each row in a probe-side table, may also further include looking up a value associated with that row in each of the lookup tables and adding the row to a results set when there is a match. Additionally, the method may also include returning the results set.

A method is provided of communication between a user and a database of Patents and also of the display and the interactive exploration of data on information of interest relating to Patents/Patent applications. The method comprises: the generation, by means of an access interface, of a request allowing the database to be interrogated based on at least one selection criterion entered into the access interface; the interrogation of the database by means of the request and the loading of bibliographical data for the Patents/Patent applications found, the downloaded bibliographical data comprising data on the technological category; the processing of the bibliographical data, the processing comprising an analysis of co-occurrences comprising the determination of a number of co-occurrences of data on the technological category for all of the Patents/Patent applications found; the displaying, in interactive graphical and/or textual form, of a result and/or of an interpretation of the analysis of co-occurrences.

According to one general aspect, a computing device may include an application configured to create a tab in a context of a window, and a window manager configured to register the tab with a first UI element registry. The window manager may be configured to receive, over a network, at least a portion of a second UI element registry from a secondary window manager of a secondary computing device. The portion of the second UI element registry may identify a remote tab previously registered with the secondary window manager. The window manager may be configured to cause a display to provide a graphical arrangement of the tab and the remote tab.

According to one general aspect, a computing device may include an application configured to create a tab in a context of a window, and a window manager configured to register the tab with a first UI element registry. The window manager may be configured to receive, over a network, at least a portion of a second UI element registry from a secondary window manager of a secondary computing device. The portion of the second UI element registry may identify a remote tab previously registered with the secondary window manager. The window manager may be configured to cause a display to provide a graphical arrangement of the tab and the remote tab.

One or more computing devices, systems, and/or methods for content recommendation based upon continuity and grouping information of attributes are provided herein. User interaction data specifying whether users interacted with content items, user attributes of the users, and content attributes of the content items is obtained. A data structure is populated with the user interaction data. The data structure is modified by inserting a set of sub-fields into the data structure for a user attribute. A sub-field is populated with a value representing an option of the user attribute. The set of sub-fields are an encoding of continuity information and grouping information representing options for the user attribute. The data structure is processed using machine learning functionality to generate a model. The model is utilized to generate a prediction as to whether a user will interact with a content item.

Methods, systems, and computer-readable storage media for receiving, by a current database system, a query plan file representative of a captured query plan from a source database system, receiving, by the current database system, a set of definitions including one or more definitions, each definition in the set of definitions corresponding to an object that is implicated by the query plan, the object being included in a set of objects, and determining, by the current database system, that each definition in the set of definitions is identical to a respective definition of a corresponding object within the current database system, and in response: executing the captured query plan in the current database system to provide a query result.

Data is received that specifies a term generated by user input in a graphical user interface. Thereafter, the term is looked up in a dictionary in which there are multiple classes for terms. The term can be classified based on a first class having a top ranked effective count for the term within the dictionary when a ratio of the first class relative to a second class having a second ranked effective count for the term in the dictionary is above a pre-defined threshold. In addition, the term is classified using a machine learning model when the ratio of the first class relative to the second class is below the pre-defined threshold. Data can be provided which characterizes the classifying. Related apparatus, systems, techniques and articles are also described.