Abstract: A system, method, and computer program product are provided for consent management. A method may include receiving a first data request for user data associated with a user, the user data stored in a user data database; communicating a consent request to the requester system; receiving a consent response from the requester system; storing consent data associated with the consent response for the user data requested in the first data request in an immutable ledger; receiving a consent verification request from the user data database, the consent verification request based on a second data request for the user data from the requester system to the user data database; verifying the consent verification request based on the consent data; and communicating a consent verification response to the user data database, the consent verification response indicating consent from the user to share the user data with the requester system.

Abstract: Systems, methods, and computer program products are provided for privacy-preserved data services using generative AI abstraction. The system includes at least one processor configured to generate a user profile based on identification data of a user by inputting the identification data to a generative machine learning model, generate abstracted datasets based on outputs of the generative machine learning model, and associate abstracted datasets with the user profile. The at least one processor is further configured to receive a request message from a third-party computing device comprising a query and a token associated with the user profile, determine the user profile based on the token, and generate outputs based on the query and the abstracted datasets associated with the user profile. The at least one processor is further configured to communicate a response message to the third-party computing device based on the outputs.

Abstract: Methods and server systems for mitigating negative transfer in Multi-Task Learning (MTL) are described herein. Method performed by server system includes accessing training dataset and training multi-task machine learning (MTML) model based on performing operations. The operations includes initializing MTML model based on model parameters. Then, computing task affinity metric for each task of a set of tasks based on determining an affinity between each task and one or more tasks. Then, computing task-specific activation probability for each task based on task affinity metric corresponding to each task. Then, activating subset of tasks when task-specific activation probability corresponding to each individual task from the subset of tasks is lower than predefined threshold. Further, processing, via MTML model, training dataset by performing subset of tasks to compute outputs. Furthermore, generating task-specific losses for subset of tasks based on outputs and training dataset.

Abstract: Methods and server systems for generating task-agnostic representations for nodes in bipartite graph are described herein. Method performed by server system includes accessing bipartite graph including first set of nodes and second set of nodes. Herein, set of edges exist between first and second set of nodes. Method includes performing for each node of first and second set of nodes: identifying a natural neighbor node, the natural neighbor node being a two-hop neighbor node from the each node, Then, generating temporary representation for one-hop neighbor node based on set of features corresponding to the one-hop neighbor node Then, generating temporary neighbor node based on temporary representation for the one-hop neighbor node. Then, generating augmented neighborhood based on the natural node and the temporary neighbor node, and then determining via machine learning model, task-agnostic representation for the each node based on augmented neighborhood.

Abstract: A method includes: controlling a prefunded account of an issuer system by a transaction processing system; receiving first transaction requests associated with first transactions initiated by first payment devices issued by the issuer system; for each first transaction: determining that the issuer system issued a corresponding first payment device; determining an accumulated authorization amount; determining that the accumulated authorization amount does not satisfy a threshold based on the prefunded amount; and generating and communicating an authorization request associated with the corresponding first transaction to the issuer system; receiving a second transaction request associated with a second transaction initiated by a second payment device issued by the issuer system; in response to receiving the second transaction request, determining that the issuer system issued the second payment device; determining an updated accumulated authorization amount; determining that the updated accumulated authorizatio

Abstract: Methods and systems for training artificial intelligence (AI)-based models using limited labeled data are disclosed. The method performed by a server system includes accessing a tabular dataset including tabular data that further labeled data and unlabeled data. Method includes generating labeled features including labeled numerical features and labeled categorical features based on the labeled data and generating unlabeled features including unlabeled numerical features and unlabeled categorical features based on the unlabeled data. Method includes determining, via a first transformer model, a contextual numerical embeddings based on the labeled numerical features and the unlabeled numerical features. Method includes determining, via a second transformer model, a contextual categorical embeddings based on the labeled categorical features and the unlabeled categorical features.

Abstract: A system, method, and computer program product are provided for consent management. A method may include receiving a first data request for user data associated with a user, the user data stored in a user data database; communicating a consent request to the requester system; receiving a consent response from the requester system; storing consent data associated with the consent response for the user data requested in the first data request in an immutable ledger; receiving a consent verification request from the user data database, the consent verification request based on a second data request for the user data from the requester system to the user data database; verifying the consent verification request based on the consent data; and communicating a consent verification response to the user data database, the consent verification response indicating consent from the user to share the user data with the requester system.

Abstract: Embodiments relate to a composition comprising nanohydroxyapatite (NHAP) in an amount about 0.5 wt. % to about 50 wt. % of the composition having a particle size in a range of about 20-100 nm, an abrasive, a sweetener, and a natural oil, wherein the composition does not contain glycerin and fluoride, wherein the composition is alkaline and a dental product, and wherein the natural oil is a plant product.

Abstract: A system, method, and computer program product are provided for consent management. A method may include receiving a first data request for user data associated with a user, the user data stored in a user data database; communicating a consent request to the requester system; receiving a consent response from the requester system; storing consent data associated with the consent response for the user data requested in the first data request in an immutable ledger; receiving a consent verification request from the user data database, the consent verification request based on a second data request for the user data from the requester system to the user data database; verifying the consent verification request based on the consent data; and communicating a consent verification response to the user data database, the consent verification response indicating consent from the user to share the user data with the requester system.

Abstract: Embodiments relate to a composition comprising nanohydroxyapatite (NHAP) in an amount about 0.5 wt. % to about 50 wt. % of the composition having a particle size in a range of about 20-100 nm, an abrasive, a sweetener, and a natural oil, wherein the composition does not contain glycerin and fluoride, wherein the composition is alkaline and a dental product, and wherein the natural oil is a plant product.

Abstract: A system, method, and computer program product are provided for consent management. A method may include receiving a first data request for user data associated with a user, the user data stored in a user data database; communicating a consent request to the requester system; receiving a consent response from the requester system; storing consent data associated with the consent response for the user data requested in the first data request in an immutable ledger; receiving a consent verification request from the user data database, the consent verification request based on a second data request for the user data from the requester system to the user data database; verifying the consent verification request based on the consent data; and communicating a consent verification response to the user data database, the consent verification response indicating consent from the user to share the user data with the requester system.

Abstract: Embodiments relate to a composition comprising nanohydroxyapatite (NHAP) in an amount about 0.5 wt. % to about 50 wt. % of the composition having a particle size in a range of about 20-100 nm, an abrasive, a sweetener, and a natural oil, wherein the composition does not contain glycerin and fluoride, wherein the composition is alkaline and a dental product, and wherein the natural oil is a plant product.

Abstract: A method for controlling an actuatable restraining device includes sensing a plurality of crash event indications in response to a crash event. The method also includes classifying the crash event in response to comparing the sensed crash event indications against one another to identify an oblique moving deformable barrier crash event. The method further includes controlling deployment timing of the actuatable restraining device in response to the classification of the crash event.

Abstract: A method for controlling an actuatable restraining device includes sensing a plurality of crash event indications in response to a crash event. The method also includes classifying the crash event in response to comparing the sensed crash event indications against one another to identify an oblique moving deformable barrier crash event. The method further includes controlling deployment timing of the actuatable restraining device in response to the classification of the crash event.

Abstract: A method is provided including the steps of monitoring a lane departure event, monitoring a rollover event, and controlling actuation of an occupant restraining device in response to the monitored lane departure event and the monitored rollover even.