Abstract: A computer-implemented method, system, and/or computer program product generates and utilizes synthetic context-based objects. One or more processors define a context object, where the context object provides a context that identifies a specific subject-matter, from multiple subject-matters, of a non-contextual data object. The processor(s) associate the non-contextual data object with the context object to define a synthetic context-based object and the synthetic context-based object with at least one specific data store. A request is received from a requester for data from said at least one specific data store that is associated with the synthetic context-based object, where said at least one specific data store is within a database of multiple data stores. Data is returned to the requester from said at least one specific data store that is associated with the synthetic context-based object.

Abstract: A processor-implemented method, system, and/or computer program product generates and utilizes synthetic context-based objects. A non-contextual data object is associated with a context object, which comports with a predetermined set of constraints, to define a synthetic context-based object, where the non-contextual data object ambiguously relates to multiple subject-matters, and where the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object. The synthetic context-based object is then associated with at least one specific data store, which includes data that is associated with data contained in the non-contextual data object and the context object. A request for a data store that is associated with the synthetic context-based object results in the return of at least one data store that is associated with the synthetic context-based object.

Abstract: Methods and a system are provided that, in turn, are for providing security between a user device and a computer related device. A method includes providing a distributed registry service that specifies a plurality of services available to support communications between the user device and the computer related device. The method further includes at least one of dynamically constructing and altering one or more multi-node transient processing pathways between the user device and the computer related device based on respective selected ones of the plurality of services. For at least one node in each of the one or more transient processing pathways, an address thereof and a time period the at least one node is active and capable of being used is set or changed, based on at least one of an application programming interface type and a data request type implicated by a received packet.

Abstract: A processor-implemented method, system, and/or computer program product measures and displays facets in context-based conformed dimensional data gravity wells. Conformed dimensional objects and synthetic context-based objects are parsed into n-tuples. A virtual mass of each parsed object is calculated, in order to define a shape of multiple context-based conformed dimensional data gravity wells that are created when data objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional gravity wells membrane. Data from the multiple context-based conformed dimensional data gravity wells then populates nodes in a data model. A displayed appearance of the particular context-based conformed dimensional data gravity well is dynamically adjusted according to how many parsed synthetic context-based objects are pulled into the particular context-based conformed dimensional data gravity well.

Abstract: A system comprises a hashing logic, which executes instructions to convert raw data into a first logical address and payload data, where the first logical address describes metadata about the payload data. A hardware translation unit executes instructions to translate the first logical address into a first physical address on a storage device. A hardware load/storage unit stores the first logical address and the payload data at the first physical address on the storage device. A content addressable store is associated with a reference to the logical addressed data in this location addressable high dimensional store, where the content addressable store is searched for the desired content word using at least one temporal attribute to retrieve the corresponding references with low latency. A hardware exclusive OR (XOR) unit compares two logical address vectors to derive a Hamming distance between the two logical address vectors.

Abstract: A computer implemented method, system, and/or computer program product generates deportment and comportment cohorts. Digital sensor data, which is derived by analyzing multimodal sensor data, comprises event metadata which describes a set of events associated with an individual. Descriptive data about the individual is retrieved by data mining a combination of online sources and off-line sources. A set of conduct analysis models is selected based on event metadata and available description data. The event metadata and the description data are analyzed in the set of conduct analysis models to form a deportment and comportment cohort, where the deportment and comportment cohort comprises attributes identifying a demeanor and manner of the individual.

Abstract: A processor-implemented method, system, and/or computer program product generates and implements intuitively comfortable frames of task appropriate frames of reference for multiple dimensions of context constraints for related sets of objects within an integrated development environment (IDE). One or more processors identify a hierarchical set of context constraints for an object, and depict the hierarchical set of context constraints for the object on an IDE using a visual metaphor selected by a user. The processor(s) receive a zoom-in input for a first context constraint in the hierarchical set of context constraints, and place the IDE in mention mode, such that use of the hierarchical set of context constraints against the object is disabled. In response to the IDE being placed in mention mode, the processor(s) display detail of the first context constraint on the IDE, and receive changes to the first context constraint to create a modified first context constraint.

Abstract: A sensor system comprises: an energy storage device electrically coupled to an intermittent energy release device that causes the energy storage device to release stored energy intermittently; a sensor electrically coupled to the energy storage device, where the sensor detects physical events occurring at a physical device and is intermittently powered by electrical energy received from the energy storage device; a synaptic neural network core electrically coupled to the sensor, where the synaptic neural network core converts sensor readings into an object that describes the physical events occurring at the physical device; a transponder electrically coupled to the synaptic neural network core; and a storage buffer within the transponder, where the storage buffer stores the object for transmission from the transponder to a monitoring system, where the intermittent energy release device provides power to the sensor in response to the transponder transmitting the object to the monitoring system.

Abstract: A processor-implemented method, system, and/or computer program product mitigate subjectively disturbing content. A context-based data gravity wells membrane supports one or more gravity wells, which hold subjectively disturbing synthetic context-based objects made up of a non-contextual data object, a first context object, and a second context object. The first context object defines the non-contextual data object, and the second context object describes how subjectively disturbing content generated by combining the non-contextual data object and the first context object is according to predefined parameters described by the second context object. New content is passed across the context-based data gravity wells membrane.

Abstract: A computer implemented method modifies a unit of medical equipment based on never-event cohorts, where a never-event is a preventable error experienced by a patient while receiving medical care. One or more processors process patient care data to form digital patient care data. The processor(s) analyze the digital patient care data using cohort criteria to identify a set of never-event attributes from the set of patient care patterns. The processor(s) receive, from a set of sensors, facility event data that describe an electrical fault in a unit of medical equipment used on patients in the patient care facility in order to modify the digital patient care data, and then modify the unit of medical equipment in order to correct the electrical fault based on the modified digital patient care data.

Abstract: A processor marks non-linear attributes of each member of a known cohort by marking fields associated with the non-linear attributes in a database used to store information about members of the known cohort, where the known cohort is a task directed community that has a known agenda, where each of the non-linear attributes is individually unrelated to the known agenda, and where there is no logical nexus between any of the non-linear attributes and a particular person's membership in the known cohort. The processor utilizes marked fields in the database to identify common non-linear attributes that are shared by multiple members of the known cohort, and defines a paradigmatic member of the known cohort. The processor maps and tags the paradigmatic member in the database for future retrieval.

Abstract: A sensor system comprises: an energy storage device; an intermittent energy release device electrically coupled to the energy storage device, wherein the intermittent energy release device causes the energy storage device to release stored energy intermittently; a sensor electrically coupled to the energy storage device; a register electrically coupled to the sensor, wherein the register stores readings from the sensor; a synaptic neural network core electrically coupled to the sensor, wherein the synaptic neural network core converts the readings from the sensor into a synthetic context-based object that is derived from the readings and a context object; a transponder electrically coupled to the synaptic neural network core; and a storage buffer within the transponder, wherein the storage buffer stores the synthetic context-based object for transmission by the transponder to a monitoring system.

Abstract: A computer-implemented method, system, and/or computer program product protects access to hardware devices through use of a secure processor. A security computer receives a request from a requesting computer for access to a hardware device on a network. A secure processor within the security computer encrypts the request to generate an encrypted request, which is generated within a core of the secure processor. The secure processor protects a secure application that is used to process the request from other software on the secure processor. The security computer transmits the encrypted request to the hardware device, and then receives an encrypted acknowledgement of the encrypted request from a processor associated with the hardware device. The security computer then creates a communication session between the requesting computer and the hardware device.

Abstract: A computer-implemented method, system, and/or computer program product protects access to resources through use of a secure processor. A resource server receives an encrypted request from a requesting computer for access to a requested resource within the resource server. The requested resource is physically within an isolation area in the resource server that is initially communicatively protected from a network that connects the requesting computer to the resource server. The resource server establishes a communication session between a first secure processor in the resource server and a second processor in the requesting computer to provide secure communication between the requesting computer and the requested resource.

Abstract: A computer system securely accesses a specific data store. A non-contextual data object is associated with a context object to define a first synthetic context-based object. The non-contextual data object ambiguously describes multiple types of persons, and the context object provides a circumstantial context that identifies a specific type of person from the multiple types of persons. The first synthetic context-based object is associated with at least one specific data store in a data structure. A string of binary data that describes a requester of data, including a time window for receipt and security level of the requester, is received by the computer system for generating a new synthetic context-based object. If there is a match between the new synthetic context-based object, the first synthetic context-based object, and the security level of the requester, then the data is returned to the requester by the computer system.

Abstract: A method, system, and/or computer program product stores and retrieves payload data using a ternary content addressed memory (TCAM) hybrid memory. TCAM data is transmitted to a context masking device. The TCAM data identifies a type of payload data, and the context masking device masks the TCAM data with a context mask to create a masked TCAM data. One or more processors append the masked TCAM to payload data to create multiple stored units of TCAM-identified payload data in a location addressable store (LAS). The processor(s) receive a request for data. The request includes a masked request TCAM data that identifies a content and context of requested data. An exclusive OR (XOR) chip identifies relevant payload data within the LAS that are within a predefined Hamming distance of the masked request TCAM data. The processor(s) return the relevant payload data within the LAS to the requester.

Abstract: A system comprises a hashing logic, which executes instructions to convert raw data into a first logical address and payload data, where the first logical address describes metadata about the payload data. A hardware translation unit executes instructions to translate the first logical address into a first physical address on a storage device. A hardware load/storage unit stores the first logical address and the payload data at the first physical address on the storage device. A content addressable store is associated with a reference to the logical addressed data in this location addressable high dimensional store, where the content addressable store is searched for the desired content word using at least one temporal attribute to retrieve the corresponding references with low latency. A hardware exclusive OR (XOR) unit compares two logical address vectors to derive a Hamming distance between the two logical address vectors.

Abstract: A processor-implemented method, system, and/or computer program product manages nodes in a graph database. Graph nodes in a graph database are organized into graph node clusters. A cluster edge, which describes a relationship between two of the graph node clusters, is generated to logically associate those two graph node clusters with one another.

Abstract: A system comprises a hashing logic, which executes instructions to convert raw data into a first logical address and payload data, where the first logical address describes metadata about the payload data. A hardware translation unit executes instructions to translate the first logical address into a first physical address on a storage device. A hardware load/storage unit stores the first logical address and the payload data at the first physical address on the storage device. A content addressable store is associated with a reference to the logical addressed data in this location addressable high dimensional store, where the content addressable store is searched for the desired content word using at least one temporal attribute to retrieve the corresponding references with low latency. A hardware exclusive OR (XOR) unit compares two logical address vectors to derive a Hamming distance between the two logical address vectors.

Abstract: A content addressable memory system, method and computer program product is described. The memory system comprises a location addressable store having data identified by location and multiple levels of content addressable stores each holding ternary content words. The content words are associated with references to data in the location addressable store and the content words containing at least one next entry bit for sorting content words in a physical ordered sequence to create content ordered memory. The content store levels might be implemented using different technologies that have different performance, capacity, and cost attributes. The memory system includes a content based cache for improved performance and a content addressable memory management unit for managing memory access operations and virtual memory addressing.