Systems and methods enable data collection and analytics consumption with a generalized assurance framework using a message bus that supports a publish-subscribe model. A producer network element subscribes to a request topic on the message bus and posts, to the message bus, an announcement indicating a data topic is available from the producer network element. The producer network element receives via the message bus, the request topic including a request for the data topic and posts, to the message bus, records for the data topic in response to the request.

Systems and methods enable data collection and analytics consumption with a generalized assurance framework using a message bus that supports a publish-subscribe model. A producer network element subscribes to a request topic on the message bus and posts, to the message bus, an announcement indicating a data topic is available from the producer network element. The producer network element receives via the message bus, the request topic including a request for the data topic and posts, to the message bus, records for the data topic in response to the request.

Provided is a process including: receiving inspection path information indicating a path for a robot to travel, and a plurality of locations along the path to inspect; determining, based on information received via a location sensor, that a distance between a location of the robot and a first location of the plurality of locations is greater than a threshold distance; in response, causing a refrigeration system of an optical gas imaging (OGI) camera to decrease cooling; moving along the path; in response to determining that the robot is at a first location of the plurality of locations, sending a second command to the sensor system, wherein the second command causes the refrigeration system of the OGI camera to increase cooling; causing the sensor system to record a first video with an OGI camera; and causing the sensor system to store the first video in memory.

System and method for amplifying the accuracy of forecasts generated by software systems that harness the collective intelligence of human populations by curating optimized sub-populations through an intelligent selection process. Participants predict event outcomes and/or provide evaluations of their confidence in their predictions. The system determines a score wherein the alignment score indicates how well that participant's prediction aligns with the predictions given by the baseline population. Participants can then be selected from the population based on the participant alignment scores.

System and method for amplifying the accuracy of forecasts generated by software systems that harness the collective intelligence of human populations by curating optimized sub-populations through an intelligent selection process. Participants predict event outcomes and/or provide evaluations of their confidence in their predictions. The system determines a score wherein the alignment score indicates how well that participant's prediction aligns with the predictions given by the baseline population. Participants can then be selected from the population based on the participant alignment scores.

Systems and methods for generating single-node representations in graphs comprised of linked nodes. The present technology enables generation of individual node embeddings on the fly in sublinear time (less than O(n), where n is the number of nodes in graph G) using only a PPR vector for the node, and random projection to reduce the dimensionality of the node’s PPR vector. In one example, the present technology includes a computer-implemented method comprising obtaining a graph having a plurality of nodes from a database, generating a personal pagerank vector for a given node of the plurality of nodes, and producing an embedding vector for the given node by randomly projecting the personal pagerank vector, wherein the embedding vector has lower dimensionality than the personal pagerank vector.

A mediating method may include: preparing at least two lists that respectively correspond to different values of a specific feature and that each of which includes at least one item; receiving first information about a first terminal or a user of the first terminal from the first terminal; deriving a value corresponding to the specific feature using the received first information; selecting a first list from among the at least two lists using the derived value; determining whether a first item matching the user of the first terminal is present in the at least one item included in the first list using the first information; and when it is determined that the first item is present in the first list, transmitting second information corresponding to the first item to the first terminal, or transmitting third information corresponding to the first terminal to a second terminal corresponding to the first item.

A system and method for identifying at least one association of an entity. The system includes a processing module and a database arrangement communicably coupled to processing module. The processing module is operable to receive an input comprising data related to the entity; acquire web content related to the received input from a plurality of data sources; filter the acquired web content to obtain information relating to the entity; identify probable associations of the entity from the information relating to the entity using an ontology; determine for each of the probable associations, at least one of: a recency attribute, a frequency attribute, a proximity attribute, a semantics attribute; determine a probability score for each of the probable associations of the entity; and identify the at least one association of the entity from the probable associations, wherein the at least one association corresponds to a highest probability score.

The present invention provides a novel approach to matching personality traits, as determined through observational or self-assessment reporting in combination with specific loci and identifiable variations within an individual's nucleotide sequence in the form of SNPs. The present invention further utilizes an individual's cyber footprint, in combination with SNPs and traditional assessment and self-assessment techniques, to define a testing and reinforcement mechanism for strengthening the interdependence and accuracy of each type of reporting in order to bolster the reliability of each alone and in combination.

A tenant separation architecture is provided to adopt tenant separation for remote integration of various OEM systems with a cloud-based analytics application. The tenant separation architecture provided herein allows for tenant separation in a wide range of modules in different OEM integration scenarios through a token-base authentication. Application server tenants and database tenants may be accessed for application of the tenant separation. Moreover, the tenant separation implementations disclosed herein may be applied to different modules for metadata, tenant configuration, authorization concepts, and general data protection regulation (GDPR) adoption.