Abstract: Computer system for performing biometric matching in a way that balances accuracy level required in the biometric matching against computing resources (for example, processor cycles) that will be needed to match authentication requesters with profiles of authorized users. In some embodiments, this is achieved by controlling the number of clusters and/or the number of clusters to be searched pursuant to an authentication request.

Abstract: Managing record hierarchies and record groups in a data management system is provided. A root record node is identified for a record hierarchy. A probabilistic search of a graph of the record hierarchy is performed to identify record nodes related to the root record node based on record relationships data. Identified record nodes related to the root record node are positioned as a level under the root record node in the record hierarchy. Any record nodes that are not related to the root record node but match a definition of the record hierarchy are identified. It is determined whether a set of record nodes unrelated to the root record node was identified. In response to determining that a set of record nodes unrelated to the root record node was not identified, it is determined that records matching the definition of the record hierarchy are positioned in the record hierarchy.

Abstract: A computer-implemented method, system and computer program product for managing relationships between entities in master data management based systems. Record level relationships at an entity level are resolved. Furthermore, a unified view of relationships between entities is determined using composite rules on the underlying resolved record level relationships. Additionally, an anchor member for each linked entity is determined, where the entities are linked together based on the determined unified view of relationships between entities. Furthermore, a record transaction involving creating, updating or deleting a record of an entity linked with another entity is received. The relationship between the linked entities is then validated or invalidated based on an impact of the record transaction with the anchor member of one of the linked entities.

Abstract: Records linking is provided. Two records are selected from a plurality of records corresponding to a customer for pair-wise record comparison. It is determined whether the two records are included in different entities. A local auto-link-threshold value of the different entities is identified in response to determining that the two records are included in different entities. An attribute comparison is performed between the two records. A comparison score is generated based on the attribute comparison between the two records. It is determined whether the comparison score is greater than the local auto-link-threshold value of the different entities. The two records are linked in response to determining that the comparison score is greater than the local auto-link-threshold value of the different entities.

Abstract: A voice command can be received from a user. One or more voice command devices (VCDs) that the voice command is targeting can be determined. A visual indicator of each of the one or more targeted VCDs can be displayed on an XR device worn by the user, wherein each visual indicator visually indicates a respective targeted VCD the voice command is directed to on the XR device.

Abstract: An apparatus for a wearable device with expandable display strips, the apparatus includes a first layer with a first display panel coupled to a second layer with a second display panel, where the first display panel can extend and retract over a top surface of the second display panel. The apparatus also includes a first gear and rack mechanism coupled to the top surface of the second display panel and a bottom surface of the first display panel, where the first gear and rack mechanism is configured to extend and retrack the second layer with the second display relative to the first layer with the first display. Furthermore, the first layer and the second layer are arranged in a concentric manner.

Abstract: A method for recording a plurality of augmented reality (AR) sessions between a set of user(s) and an AR computer system, receiving first user input, through the AR computer system and from a first user, identifying a first AR session of the plurality of AR sessions, and presenting at least a portion of the recording of the first AR session on the AR computer system for the first user.

Abstract: Methods, computer program products and/or systems are provided that perform the following operations: obtaining payload attribute fields; determining potential matching fields from the payload attribute fields; determining a matching function for each of the potential matching fields; determining an attribute score for each of the potential matching fields based on the matching function; obtaining a score list for a reference data set; determining a correlation of the attribute score for each of the potential matching fields with the reference data set score list; selecting new matching fields from the potential matching fields based at least in part on the correlation; determining an optimal weight for each of the selected new matching fields; selecting attribute fields for matching from the selected new matching fields based on a threshold rate for false positives and false negatives; and providing the attribute fields for matching and the associated optimal weight for the attribute fields.

Abstract: Techniques for data evaluation are provided. A plurality of data records is received, and a first comparison vector is generated by comparing a first and a second data record of the plurality of data records, where the first comparison vector indicates differences between the first and second data records. A machine learning model is trained based at least in part on the first comparison vector. The plurality of data records is evaluated using the machine learning model, and at least two of the plurality of data records are linked based on the evaluation.

Abstract: Various embodiments described herein relate to techniques for forecasting with state transitions and confidence factors. In this regard, a system is configured to segment data associated with one or more assets to determine a set of classifications for one or more attributes related to the one or more assets. The system is also configured to generate a state machine associated with a Markov chain model based on the set of classifications for the data. Furthermore, the system is configured to perform a machine learning process associated with the state machine to determine one or more behavior changes associated with the one or more attributes related to the one or more assets. The system is also configured to predict, based on the one or more behavior changes associated with the one or more attributes related to the one or more assets, a change in demand data for the one or more assets during a future interval of time.

Abstract: A method for relating different types of records. The method may include providing comparison functions, wherein each comparison function corresponds to a semantical class, and wherein a computational cost is associated with each comparison function. The method may include determining one or more attribute pairs between the different types of records. The method may include sorting the comparison functions according to a determined accuracy. The method may include selecting a set of comparison functions associated with semantical classes according to a predefined rule. The method may include determining a total computational cost based on the computational cost of the selected set of comparison functions. The method may include determining whether two or more records are related using the selected set of comparison functions. The method may include relating the two or more records. The method may include determining a rate of false negative records.

Abstract: A method for receiving an additional dataset including a plurality of additional data records; determining a record type using classifiers and an internal domain knowledge corpus; dividing the plurality of additional data records into a plurality of indexing groups; assigning the given additional data record to a match set based on completeness and similarity of natures of attributes of the given additional data record; and assigning the given additional data record to and a comparison group based on completeness and similarity of natures of attributes of the given additional data record.

Abstract: An approach for tuning a data management system is provided. A processor retrieves one or more samples pairs of record data. A processor determines an error rate regarding the performance of a matching operation of a data management system based on the one or more sample pairs. In response to the error rate being above a value, a processor adjusts at least one threshold value associated with the matching operation of the data management system.

Abstract: A method, including: transmitting, by a first circuit to outside a user's body, information related to a first medication ingested by the user, the first circuit being digestible by gastric juices of the user, the first circuit being covered by a first thickness of a first digestible material; and transmitting, by a second circuit to outside the user's body, information related to a second medication ingested by the user, the second circuit being digestible by the gastric juices of the user, the second circuit being covered by a second thickness of a second digestible material and the first thickness of the first digestible material.

Abstract: Disclosed are techniques for recovering power from remote vehicles near a landing surface. Air turbulence from a remote vehicle near a landing surface is detected and measured. When the air turbulence exceeds a threshold, a subset of landing surface components corresponding to sections of the landing surface with attached wind power generators are determined for wind power generation from the detected air turbulence. The wind power generators of the subset of landing surface components are exposed from their protective coverings, and the subset of landing surface components are reoriented towards the source of the air turbulence, tracking the remote vehicle generating the air turbulence. Power generated by the wind power generators can be stored and used to recharge remote vehicles that land at the landing surface.

Abstract: Configuring a data management system by receiving user interaction data associated with search results associated with a first system configuration, identifying a usage pattern in the user interaction data using a first machine learning model, and altering the first system configuration according to the usage pattern.

Abstract: An apparatus for a wearable device with expandable display strips, the apparatus includes a first layer with a first display panel coupled to a second layer with a second display panel, where the first display panel can extend and retract over a top surface of the second display panel. The apparatus also includes a first gear and rack mechanism coupled to the top surface of the second display panel and a bottom surface of the first display panel, where the first gear and rack mechanism is configured to extend and retrack the second layer with the second display relative to the first layer with the first display. Furthermore, the first layer and the second layer are arranged in a concentric manner.

Abstract: Computer system for performing biometric matching in a way that balances accuracy level required in the biometric matching against computing resources (for example, processor cycles) that will be needed to match authentication requesters with profiles of authorized users. In some embodiments, this is achieved by controlling the number of clusters and/or the number of clusters to be searched pursuant to an authentication request.

Abstract: An approach is provided for providing optimized identification of duplicate data in a networked computing environment. An aggregate feature vector is created that is specific to an attribute of the data (e.g., a field that holds specific informational content). The aggregate feature vector has a set of dimensions that each define a specific comparison function used to test for similarity between data entries in the attribute. Each dimension in the aggregate feature vector is assigned an effectiveness, and a cost is computed for each dimension. Based on these two, a subset of dimensions is selected to form an optimized feature vector. This optimized feature vector can then be used to analyze a dataset to find matching data.

Abstract: A method, a structure, and a computer system for mapping data fields. The exemplary embodiments may include, based on determining that a first data set and a second data set contain homogenous data, mapping at least one column of the first data set to at least one column of the second data set based on comparing at least one of relative column position and unique value sets. Based on determining that the first data set and the second data set contain heterogeneous data, the exemplary embodiments may include mapping the at least one column of the first data set to the at least one column of the second data set based on a difference between distribution signatures of unique value sets within each of the first data set and the second data set being less than a threshold.