Abstract: One embodiment provides a system comprising a memory device for maintaining deterministic neural data relating to a digital neuron and a logic circuit for deterministic neural computation and stochastic neural computation. Deterministic neural computation comprises processing a neuronal state of the neuron based on the deterministic neural data maintained. Stochastic neural computation comprises generating stochastic neural data relating to the neuron and processing the neuronal state of the neuron based on the stochastic neural data generated.

Abstract: To simplify assisting a user in their day-to-day activities, a communication for performing an action may be sent to a user in the form of a query, where the query includes the most likely set of choices for the action arranged in a group of dichotomous (e.g., yes/no) or multiple choice answers. In this manner, a user may respond to the query by simply selecting one of the dichotomous or multiple choice answers. Historical logs of past actions, responses, queries, and so forth, may be used to predict future user actions or needs, and to formulate future queries for sending to the user. These techniques may be implemented, for example, through a remote coordination server or directly through a user's personal electronics device.

Abstract: To simplify assisting a user in their day-to-day activities, a communication for performing an action may be sent to a user in the form of a query, where the query includes the most likely set of choices for the action arranged in a group of dichotomous (e.g., yes/no) or multiple choice answers. In this manner, a user may respond to the query by simply selecting one of the dichotomous or multiple choice answers. Historical logs of past actions, responses, queries, and so forth, may be used to predict future user actions or needs, and to formulate future queries for sending to the user. These techniques may be implemented, for example, through a remote coordination server or directly through a user's personal electronics device.

Abstract: The invention discloses the technology of brain-like computing virtualization. Brain-like computing means the computing technology to mimic human brain and generate human intelligence automatically with computer software. Here the unconscious engine and conscious engine are used to define human left and right brain, while the virtualization technology is used for software to run on future hardware, such as quantum computer and molecular computer. The applied domain areas include quantum gate and adiabatic quantum simulation, brain-like autonomic computing, traditional multi-core-cluster performance service, software development/service delivery systems, and mission-critical business continuity/disaster recovery.

Abstract: Systems, methods and apparatus may be configured to implement automatic semantic classification of a detected object(s) disposed in a region of an environment external to an autonomous vehicle. The automatic semantic classification may include analyzing over a time period, patterns in a predicted behavior of the detected object(s) to infer a semantic classification of the detected object(s). Analysis may include processing of sensor data from the autonomous vehicle to generate heat maps indicative of a location of the detected object(s) in the region during the time period. Probabilistic statistical analysis may be applied to the sensor data to determine a confidence level in the inferred semantic classification. The inferred semantic classification may be applied to the detected object(s) when the confidence level exceeds a predetermined threshold value (e.g., greater than 50%).

Abstract: A server system hosts a plurality of conversations, each having an identified set of participants. For a respective conversation, the server accesses the conversation in which a user is a participant. The server obtains a conversation profile for the conversation, the conversation profile based on information including content of the conversation and user-specific term weights for at least a plurality of terms in the content of the conversation. The server accesses a plurality of entity profiles that are based on content and/or structure in other conversations in which the user is a participant. The server compares at least a subset of the entity profiles to the conversation profile to identify a set of entities having entity profiles that best match the conversation profile, generates a suggestion for the user including a suggested entity from the identified set of entities; and sends the suggestion to the client system for display to the user.

Abstract: A method, computer-implemented system, and computer program product for creating indexes over XML data managed by a database system are provided. The method, computer-implemented system, and computer program product provide for receiving a workload for the XML data, the workload including one or more database statements, utilizing an optimizer of the database system to enumerate a set of one or more path expressions by creating a virtual universal index based on the workload received and matching a path expression to the virtual universal index, and recommending one or more path expressions from the set of one or more candidate path expressions to create the indexes over the XML data.

Abstract: An image search device includes a common memory and a plurality of parallel processors for executing a same instruction. The image search device transfers, from storage, a plurality of representative feature vectors, which respectively represent a plurality of clusters including a plurality of image feature vectors, stores, in the common memory, one or more query feature vectors extracted from an image serving as a query, calculates a distance between the plurality of transferred representative feature vectors and the query feature vector using the plurality of parallel processors, and selects one or more of a plurality of images based on a distance between the plurality of image feature vectors, which belong to the cluster selected by the calculated distance, and the query feature vector.

Abstract: According to one embodiment of the present disclosure, a method for multiplex backup using next relative addresses may be provided. The method may include receiving a first chunk and a second chunk that are each associated with a first file. A next relative address may be appended to the first chunk. The next relative address may indicate a position in a storage device. The first chunk with the next relative address may be written to the storage device at a first address. The method may further include writing the second chunk to the storage device at the position indicated by the next relative address of the first chunk.

Abstract: Embodiments of the present invention provide a mechanism for converting an existing mirror relationship between an original dataset at a source storage system and a copy of the original dataset at a destination system to a new mirror without discarding the existing copy of the original dataset and without transferring data to create a new dataset to replace the copy of the original dataset at the destination storage system. Rather, a directory structure (including file attributes) of the source storage system is transferred to the destination storage system and a comparison is made to identify file attributes at the destination system that match the transferred file attributes. If a match is found, a mapping between the matched file attributes is created. Subsequent updates to the destination storage system can be done using a technique other than the one that was used to create a copy of the source dataset.

Abstract: A system includes reception of text, extraction of a plurality of linguistic entities and associated linguistic entity categories based on the text; determination of one or more semantic objects of a semantic layer based on the linguistic entity categories, and generation of a query of the semantic layer based on the plurality of linguistic entities, the associated linguistic entity categories, and the one or more semantic objects.

Abstract: According to an aspect of the present invention, a content server enhances content mediated engagements, by first enabling a user to specify a content collection containing a set of contents according to a specific/desired sequence, and then storing a data indicating the collection. The set of contents are selected from contents (or portions thereof) maintained in a repository. In response to receiving during a content mediated engagement, a request of the stored content collection, the content server then provides the set of contents according to the specific sequence. The content server also facilitates the same content (maintained in repository) to be included and accordingly provided as part of different content collections.

Abstract: The invention relates to a method and an apparatus for web service schema management. The apparatus includes a processor; a memory including computer program code configured to, with the processor, cause the apparatus at least to perform: controlling the storing of schema information of a binary web service system, the schemas describing the encoding/decoding of binary XML messages; and providing an interface for maintaining the schema information up-to-date in each component of the binary web service system.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR AN EMPLOYEE REFERRAL FACILITATOR (hereinafter “ERF”) implement efficient and scalable monitoring, regulation, and allocation of computational processing, data, labor, and/or the like resources within an enterprise. The ERF may track and administer the provision of referral bonuses and/or other rewards associated with employee referrals. The ERF may receive and store candidate referrals from an existing employee; monitor, receive, and/or store a candidate hiring indicator; evaluate a referral rule based to determine a referral bonus eligibility, amount, timing, and/or the like; and instruct provision of an appropriate referral bonus.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR A UNIVERSAL PAYMENT INTEGRATOR (hereinafter “UPI”) implement efficient and scalable monitoring, regulation, and allocation of computational processing, data, labor, and/or the like resources within an enterprise. The UPI may facilitate transactions by providing information for payments, money transfers, and/or the like to a wide variety of different banks and/or other financial institutions. Different banking institutions may have different informational needs and/or requirements in order to effectuate a payment. The UPI provides facilities that are integrated with enterprise data resources to allow quick, efficient, and tailored provision of the specific information needed to complete payments and clear transactions by different banks having different informational needs.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR A RULE-INTEGRATED VIRTUAL PUNCH CLOCK (hereinafter “RIVPC”) implement efficient and scalable monitoring, regulation, and allocation of computational processing, data, labor, and/or the like resources within an enterprise. The RIVPC may facilitate tracking employee time, such as time worked, time per activity, break time, vacation time, and/or the like, by providing an electronic time clock interface at an employee terminal device. The RIVPC may further be configured to track, implement and/or enforce one or more labor rules, regulations, laws, company policies, wage schedules, and/or the like based on one or more rulesets embedded in and/or interacting with the virtual clock components of the RIVPC. The embedded rules may be selected and/or enforced selectively based on user characteristics, including one or more descriptive business grammar strings associated with a user.

Abstract: The System, Apparatus and Method for a Universal Data Librarian (“UDL”) implements an efficient and scalable monitoring, regulation, and allocation of the computational processing, data, labor, and other enterprise resources and enterprise rules. UDL utilizes a plurality of universal variables linked to tables or fields across multiple, otherwise disparate database systems, and provides efficient and uniform access to the different database systems, types and formats for enterprise data. The universal variables allow efficient access and connection to a vast swath of enterprise data types and types of organizations, and may be organized in accordance with a hierarchical business and decision-making schema and enterprise rules. Universal variables are also used to facilitate a variety of data transactions, integration of disparate data repositories, visualization of data categories and efficient interface access.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for converting MLOAD and TPUMP operations. In some embodiments, a system is configured to: receive an input production parameter, wherein the input production parameter is associated with a load utility and defines a library of parameters, wherein the library of parameters defines a first syntax; convert the first syntax of the library of parameters to a second syntax, wherein the second syntax is associated with the load utility; validate the second syntax of the library of parameters; and write an output parameter to a memory location based on positive validation of the second syntax of the library of parameters.

Abstract: In an embodiment, a first key value is received. A plurality of candidate rows are found in a database table, wherein the plurality of candidate rows are deleted. For the plurality of candidate rows, a plurality of respective impacts on a plurality of respective densities of each of other key values that are stored within a first key range of the first key value are calculated. For the plurality of candidate rows, a plurality of function results of the plurality of respective impacts on the plurality of respective densities are calculated. A selected candidate row of the plurality of candidate rows with a smallest function result of the plurality of function results of the plurality of respective impacts on the plurality of respective densities is selected. The first key value is stored to the selected candidate row.

Abstract: A method of content recommendation, includes: generating a first digital mathematical representation of contents to associate the contents with a first plurality of words describing the contents; generating a second digital mathematical representation of text documents different from the contents to associate the documents with a second plurality of words; processing the first and second pluralities of words to determine a common plurality of words; processing the first and second digital mathematical representations to generate a common digital mathematical representation of the contents and the text documents based on the common plurality of words; and providing content recommendation by processing the common digital mathematical representation.