Real time cognitive reasoning using a circuit with varying confidence level alerts including receiving a first set of data results and a second set of data results; transferring a first unit of charge from a first charge capacitor on the A-B circuit to a collection capacitor on the A-B circuit for each of the first set of data results that indicates a positive data point; transferring a second unit of charge from a second charge capacitor to the collection capacitor for each of the second set of data results that indicates a positive data point; and triggering a first sense amp on the A-B circuit if the charge on the collection capacitor exceeds a first charge threshold, indicating that the positive data points in the first set of data results is greater than the positive data points in the second set of data results to a first statistical significance with a first confidence level.

Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

Systems, methods, and devices for automated provisioning are disclosed herein. The system can include a memory including a user profile database having n-dimension attributes of a user. The system can include a user device and a source device. The system can include a server that can: generate and store a user profile in the user profile database and generate and store a characterization vector from the user profile. The server can identify a service for provisioning, receive updates to at least some of the attributes of the first user, and trigger regeneration of the characterization vector from the received inputs. The server can: regenerate the characterization vector, determine an efficacy of the provisioned services, and automatically identify a second service for provisioning for a second user based on the efficacy of the provisioned services to the first user.

In a general aspect, a quantum computing method is described. In some aspects, a control system in a quantum computing system assigns subsets of qubit devices in a quantum processor to respective cores. The control system identifies boundary qubit devices residing between the cores in the quantum processor and generates control sequences for each respective core. A signal delivery system in communication with the control system and the quantum processor receives control signals to execute the control sequences, and the control signals are applied to the respective cores in the quantum processor.

In a general aspect, a quantum computing method is described. In some aspects, a control system in a quantum computing system assigns subsets of qubit devices in a quantum processor to respective cores. The control system identifies boundary qubit devices residing between the cores in the quantum processor and generates control sequences for each respective core. A signal delivery system in communication with the control system and the quantum processor receives control signals to execute the control sequences, and the control signals are applied to the respective cores in the quantum processor.

The present disclosure provides a method for identifying and representing potential next positions based on current position of user of an opportunity network system, the method including: (a) collecting and pre-analysing a comprehensive database of resumes or profiles of users, (b) extracting normalized entity information from resumes or profiles about backgrounds of users, (c) normalizing of the entity information of the users using at least one of machine learning techniques or statistical techniques to obtain normalized entity information, (d) identifying a comprehensive set of possible subsequent positions for the user based on the current position, (e) generating a position-detail profile for one or more of possible subsequent positions based on the profiles of people who are currently in that position or who may have previously worked at the position, and (f) determining a degree of match between resume or profile information of the user and at least one the position-detail profile of the target position.

The present disclosure provides a method for identifying and representing potential next positions based on current position of user of an opportunity network system, the method including: (a) collecting and pre-analysing a comprehensive database of resumes or profiles of users, (b) extracting normalized entity information from resumes or profiles about backgrounds of users, (c) normalizing of the entity information of the users using at least one of machine learning techniques or statistical techniques to obtain normalized entity information, (d) identifying a comprehensive set of possible subsequent positions for the user based on the current position, (e) generating a position-detail profile for one or more of possible subsequent positions based on the profiles of people who are currently in that position or who may have previously worked at the position, and (f) determining a degree of match between resume or profile information of the user and at least one the position-detail profile of the target position.

A privacy management system that is configured to process one or more data subject access requests and further configured to: (1) enable a data protection officer to submit an audit request; (2) perform an audit based on one or more parameters provided as part of the request (e.g., one or more parameters such as how long an average request takes to fulfill, one or more parameters related to logging and/or tracking data subject access requests and/or complaints from one or more particular customer advocacy groups, individuals, NGOs, etc.); and (3) provide one or more audit results to the officer (e.g., by displaying the results on a suitable display screen).

A privacy management system that is configured to process one or more data subject access requests and further configured to: (1) enable a data protection officer to submit an audit request; (2) perform an audit based on one or more parameters provided as part of the request (e.g., one or more parameters such as how long an average request takes to fulfill, one or more parameters related to logging and/or tracking data subject access requests and/or complaints from one or more particular customer advocacy groups, individuals, NGOs, etc.); and (3) provide one or more audit results to the officer (e.g., by displaying the results on a suitable display screen).

A method of synchronizing a group of scheduled tasks within a parallel processing unit into a known state is described. The method uses a synchronization instruction in a scheduled task which triggers, in response to decoding of the instruction, an instruction decoder to place the scheduled task into a non-active state and forward the decoded synchronization instruction to an atomic ALU for execution. When the atomic ALU executes the decoded synchronization instruction, the atomic ALU performs an operation and check on data assigned to the group ID of the scheduled task and if the check is passed, all scheduled tasks having the particular group ID are removed from the non-active state.