Abstract: A method for signal modulation includes: receiving network signals from a plurality of participants; analyzing the received network signals to detect latent signals; processing the network signals based on one or more external event data; processing the network signals to exclude sensitive data in the network signals and the latent signals; and encapsulating pan-network signals based on the processed network signals.

Abstract: A method for event detection includes: obtaining a subpopulation data from a graph structure for performing a graph analysis, wherein the subpopulation data is associated with personality and demographic characteristics of users; obtaining a user profile associated with a target user; inferring psychological traits of the user by performing the graph analysis based on the user profile and the subpopulation data; performing an outcome linkage analysis based on labeled event outcome profiles and the inferred psychological traits to generate personalized knowledge graph data associated with the target user; and profiling, monitoring, or performing an anomaly detection for event data streams based on the personalized knowledge graph data.

Abstract: Computer-implemented systems and methods are disclosed herein for use within secure multi-party computation. A system and method are used for storing an operation preference and a cryptographic preference. A data set is stored based on the operation preference and the cryptographic preference. A determination is made that processing the query involves performing an allowable operation on the data set based on the operation preference.

Abstract: Computer-implemented systems and methods are disclosed herein for use within secure multi-party computation. A system and method are used for storing an operation preference and a cryptographic preference. A data set is stored based on the operation preference and the cryptographic preference. A determination is made that processing the query involves performing an allowable operation on the data set based on the operation preference.

Abstract: A system and method of interaction with beacons to execute a multiple layer authenticated transaction process including receiving a signal from the beacon, analyzing a relative signal strength of the beacon, enabling a portable computer device to complete the digital transaction based on the proximity of the portable computer device to an item for purchase. A first user verification input is additionally received via the portable computer system. In response to the first user verification, receiving a verification signal.

Abstract: A computer system includes a memory configured to store instructions, and one or more processors configured to execute the instructions to cause the computer system to perform a method for event detection. The method includes obtaining a user profile and a persona category associated with the user profile corresponding to a user; receiving first data associated with the user and second data associated with one or more environmental or situational factors; detecting an event based on the first data or the second data; and querying a database in response to the detected event to determine one or more recommended actions for the user based on the user profile and the persona category of the user.

Abstract: The present disclosure relates to systems and methods for creating and using personas. The method includes receiving a first set of input signals associated with data from one or more source; receiving a second set of input signals associated with data from one or more source; converting the first set of input signals and the second set of input signals to a wavelet; constructing a persona based on the wavelet; storing the persona in a ledger; receiving a request for a decision related to a transaction; converting the request to a new wavelet; determining a difference between the new wavelet and the stored persona; generating a score based on the difference; and authorizing the transaction based on the score.

Abstract: The present disclosure relates to systems and methods for creating and training neural networks. The method includes collecting a set of signals from a database; applying a transform to each signal to create a modified set of signals, wherein signals of the modified set of signals are wavelets; iteratively, for each of a subset of the modified signals: training the neural network using a modified signal of the subset by adding at least one node to the neural network in response to an error function of an analysis of the modified signal exceeding a threshold; removing nodes from the neural network with activation rates below an activation rate threshold; and grouping each node into a lobe among a plurality of lobes, wherein nodes belonging to a lobe have a common characteristic.

Abstract: Systems and methods described herein are for transmitting a command to a remote system. A processing system determines the identity of the user based on the unique identifier and the biometric information. Thereafter, a sensor detects a gesture performed by the user. The sensor is configured to detect the gesture performed by the user when the user is located within the detectable range of the wireless antenna. The processing system determines an action associated with the detected gesture based on the identity of the user and sends a command to a remote computer system to cause it to perform the action associated with the detected gesture.

Abstract: A system and a method for providing a digital intervention relating to user interactions. A system may have at least one processor configured to perform operations comprising: receiving input data from at least one client device; accessing a data model configured to determine, based on historical data, risk levels associated with the user interactions; inserting the input data into the data model; receiving, from the data model, an indication that at least one determined risk level associated with the user interactions exceeds a preset threshold; and providing, in response to the at least one determined risk level exceeding the preset threshold, the digital intervention.

Abstract: A system and a method for providing intelligent friction by receiving user information based on an interaction of a user with a user interface; and providing intelligent friction through the user interface using an intelligent system. This may comprise changing the user interface relative to a baseline based on the user information. Intelligent friction may provide changes to the user interface. The system may increase security and prevent unauthorized access by bad actors. The system may be less susceptible to hacking by altering how verification or authentication is performed. Systems using intelligent friction may be easily implemented because they may be less reliant on user devices. Rather than requiring multiple communication channels as may be the case in multi-factor authentication, intelligent friction may be advantageously carried out with the user using mobile devices of low complexity.

Abstract: Sensor data analysis may include obtaining video data, detecting facial data within the video data, extracting the facial data from the video data, detecting indicator data within the video data, extracting the indicator data from the video data, transforming the extracted facial data into representative facial data, and determining a mood of the person by associating learned mood indicators derived from other detected facial data with the representative facial data. The analysis may include determining that the representative facial data is associated with a complex profile, and determining a context regarding the person within the environment by weighting and processing the determined mood, at least one subset of data representing information about the person of the complex profile, and the indicator data. The analysis may include determining a user experience for the person, and communicating the determined user experience to a device associated with the person.

Abstract: Sensor data analysis may include obtaining video data, detecting facial data within the video data, extracting the facial data from the video data, detecting indicator data within the video data, extracting the indicator data from the video data, transforming the extracted facial data into representative facial data, and determining a mood of the person by associating learned mood indicators derived from other detected facial data with the representative facial data. The analysis may include determining that the representative facial data is associated with a complex profile, and determining a context regarding the person within the environment by weighting and processing the determined mood, at least one subset of data representing information about the person of the complex profile, and the indicator data. The analysis may include determining a user experience for the person, and communicating the determined user experience to a device associated with the person.

Abstract: The present disclosure relates to systems and methods for creating and training neural networks. The method includes collecting a set of signals from a database; applying a transform to each signal to create a modified set of signals, wherein signals of the modified set of signals are wavelets; iteratively, for each of a subset of the modified signals: training the neural network using a modified signal of the subset by adding at least one node to the neural network in response to an error function of an analysis of the modified signal exceeding a threshold; removing nodes from the neural network with activation rates below an activation rate threshold; and grouping each node into a lobe among a plurality of lobes, wherein nodes belonging to a lobe have a common characteristic.

Abstract: Computer-implemented systems and methods are disclosed herein for use within secure multi-party computation. A system and method are used for storing an operation preference and a cryptographic preference. A data set is stored based on the operation preference and the cryptographic preference. A determination is made that processing the query involves performing an allowable operation on the data set based on the operation preference.

Abstract: The present disclosure relates to systems and methods for creating and using personas. The method includes receiving a first set of input signals associated with data from one or more source; receiving a second set of input signals associated with data from one or more source; converting the first set of input signals and the second set of input signals to a wavelet; constructing a persona based on the wavelet; storing the persona in a ledger; receiving a request for a decision related to a transaction; converting the request to a new wavelet; determining a difference between the new wavelet and the stored persona; generating a score based on the difference; and authorizing the transaction based on the score.

Abstract: Systems and methods described herein are for transmitting a command to a remote system. A processing system determines the identity of the user based on the unique identifier and the biometric information. Thereafter, a sensor detects a gesture performed by the user. The sensor is configured to detect the gesture performed by the user when the user is located within the detectable range of the wireless antenna. The processing system determines an action associated with the detected gesture based on the identity of the user and sends a command to a remote computer system to cause it to perform the action associated with the detected gesture.

Abstract: A system and method of interaction with beacons to execute a multiple layer authenticated transaction process including receiving a signal from the beacon, analyzing a relative signal strength of the beacon, enabling a portable computer device to complete the digital transaction based on the proximity of the portable computer device to an item for purchase. A first user verification input is additionally received via the portable computer system. In response to the first user verification, receiving a verification signal.

Abstract: The present disclosure relates to systems and methods for generating a persona and detecting anomalies using a hash tree. In one implementation, the system may include one or more memories storing instructions and one or more processors configured to execute the instructions. The instructions may include instructions to receive a plurality of data structures related to an individual, convert the data structures into a plurality of Bayesian wavelets, group the Bayesian wavelets into a tree structure, using transitions between the Bayesian wavelets within the tree structure, generate a plurality of Markovian wavelets representing the transitions, replace one or more of the Bayesian wavelets with hashes, and output the tree structure as a persona representing the individual. The instructions may also include training a neural network.

Abstract: Computer-implemented systems and methods are disclosed herein for use within secure multi-party computation. A system and method are used for storing an operation preference and a cryptographic preference. A data set is stored based on the operation preference and the cryptographic preference. A determination is made that processing the query involves performing an allowable operation on the data set based on the operation preference.