Abstract: A method for generating a cluster-based machine learning model based on federated learning with cluster feedback includes providing a current machine learning model to a plurality of user devices that train the current machine learning model, receiving respective model states, generating updated model states, causing the plurality of user devices to obtain a respective instance of an updated machine learning model based on the updated model states, receiving an applicability feedback for the updated machine learning model for each of the plurality of user devices, determining a plurality of user clusters including a subset of the plurality of user devices, identifying a first user cluster and a second user cluster, the first user cluster having a higher cluster applicability feedback than the second user cluster, receiving the additional model states from the clusters and updating the updated machine learning model to generate the cluster-based machine learning model.

Abstract: Described herein are systems and methods for modifying musical signals. An exemplary system for modifying musical signals has at least one non-contact switch. The non-contact switch includes an actuator that translates and rotates when pushed and turned, respectively, by a user. A sensor, such as a magnetic field sensor, an optical sensor, an AC induction sensor, or another non-contact sensing device, senses the position of the actuator, which may include both translational position and rotational position. Modification of the musical signals may be based on the position of the actuator. No physical contact between the actuator and the sensor is required during operation of the non-contact switch. Accordingly, the forces generated during the pushing and turning of the non-contact switch are applied to the non-contact switch, while the sensor and other components within the effects unit are isolated from the forces.

Abstract: Disclosed embodiments include systems and methods for providing a secure physical storage system. The system may receive a request to register a first physical storage box from an entity including location information and security information. The request can be validated by comparing the security information to a predetermined security threshold. The location information associated with the first physical storage box can be recorded to a blockchain. The first registration information can be received from a first user device. The first physical storage box can be assigned to the first user device and a first identity token associated with the first physical storage box. The assignment information associated with the first physical storage box can be recorded to the blockchain. A first identity token can be received from the first user device. Instructions can be transmitted to the first physical storage box to transition from a locked to an unlocked state.

Abstract: A compact portable vehicular saddle rack for transporting equestrian saddles in a vehicle interior cabin. This disclosure addresses the challenge of safely transporting expensive saddles from urban homes to rural riding areas. Disclosed is a lightweight, easy-to-install rack compatible with various car models and saddle types, securely restraining saddles to prevent damage during transit while maintaining cabin accessibility. This disclosure overcomes limitations of existing saddle racks designed for horse trailers or manual transportation, offering an affordable solution for individual riders. The disclosed apparatus protects saddles from adverse weather and potential warping, ensuring saddle integrity and horse comfort. This disclosure provides urban equestrians with a convenient means to transport equipment, bridging the gap between urban living and rural riding facilities.

Abstract: Disclosed embodiments may include a system for providing automated bill splitting. The system may receive speech data. The system may identify, from the speech data and using natural language processing, one or more users. The system may determine, from the speech data and using natural language processing, orders of the one or more users. The system may determine, from the speech data and using natural language processing, rules for the orders of the one or more users. The system may process one or more payments for the orders based on the rules and one or more credentials associated with the one or more users.

Abstract: Logic may receive one or more heatmaps captured by one or more user devices associated with a user, wherein each of the one or more heatmaps include data related to wireless communications. The logic may store the one or more heatmaps in a heatmap data structure associated with a user profile for the user. The logic may receive a login attempt with a heatmap, the login attempt associated with the user. The logic may generate a score for the login attempt by comparing the heatmap with the one or more heatmaps stored in a heatmap data structure associated with the user profile for the user. And, in some embodiments, the logic may determine to authenticate the login attempt based on the score.

Abstract: Disclosed embodiments may include a method and system for automated incremental payments. The system may identify recurring charges from historical account data. Based on the recurring charges and an incremental period, the system may calculate an incremental amount and expected amount. At each iteration of the incremental period, the incremental amount may be assigned to a savings bucket. The value of the savings bucket may be subtracted from an actual account balance to calculate a reduced account balance. The system may generate and transmit a graphical user interface to a user device showing the reduced account balance. The system may receive current data containing a charge that corresponds to the recurring charges. The system may reduce the value of the savings bucket by the amount of the current data charge. If the current data charge is different from the expected amount, the system may adjust the incremental amount accordingly.

Abstract: In some implementations, a recording device may obtain a settings configuration associated with deactivating an audio recording function or an audio processing function of the recording device, wherein the settings configuration indicates one or more deactivation events. The recording device may obtain first audio content associated with the recording device for identifying audio prompts associated with causing the recording device to perform one or more actions. The recording device may detect a deactivation event of the one or more deactivation events. The recording device may refrain from obtaining audio content based on detecting the deactivation event and until an activation event is detected. The recording device may obtain second audio content associated with the recording device based on detecting the activation event.

Abstract: In some implementations, a server may receive, from a user device, one or more credentials associated with a user. Accordingly, the server may transmit, to the user device, instructions for generating a user interface including a plurality of visual components based on authenticating the user with the one or more credentials. The server may detect, during a first interval, a lack of interaction with the user interface. Accordingly, the server may remove one of the plurality of visual components from the user interface based on the lack of interaction. Additionally, the server may detect, during a second interval, one or more interactions with the user interface and may update a similarity score associated with the user based on properties associated with the one or more interactions. Accordingly, the server may restore the visual component to the user interface based on the updated similarity score satisfying a similarity threshold.

Abstract: In an embodiment, a web-based non-profit fundraising and consumer marketing and analytics system is provided. In an embodiment, a web-based analytic system is provided. The system includes a message scheduler. The system further includes a donation stream, wherein the donation stream includes a set of donations and wherein each donation of the donation stream is provided with a time stamp, and wherein the time stamp correlates with a scheduled message from the message scheduler.

Abstract: A system may include processor(s), and memory in communication with the processor(s) and storing instructions configured to cause the system to orient webpage content based on user attention. The system may determine a user has navigated to a webpage. The system may generate an attention level based on received user feature(s) associated with activity of the user on the webpage. Responsive to determining the attention level exceeds a predetermined threshold, the system may identify a duration associated with the attention level, transmit an offer to one or more entities to submit predetermined content based on the duration, receive predetermined content from the one or more entities, identify, based on a predetermined amount of predetermined content space, selected content of the received predetermined content for placement on the webpage, and cause a GUI of the user device to display the selected content.

Abstract: Disclosed embodiments include systems and methods for providing a secure physical storage system. The system may receive a request to register a first physical storage box from an entity including location information and security information. The request can be validated by comparing the security information to a predetermined security threshold. The location information associated with the first physical storage box can be recorded to a blockchain. The first registration information can be received from a first user device. The first physical storage box can be assigned to the first user device and a first identity token associated with the first physical storage box. The assignment information associated with the first physical storage box can be recorded to the blockchain. A first identity token can be received from the first user device. Instructions can be transmitted to the first physical storage box to transition from a locked to an unlocked state.

Abstract: Disclosed embodiments include systems and methods for providing a secure physical storage system. The system may receive a request to register a first physical storage box from an entity including location information and security information. The request can be validated by comparing the security information to a predetermined security threshold. The location information associated with the first physical storage box can be recorded to a blockchain. The first registration information can be received from a first user device. The first physical storage box can be assigned to the first user device and a first identity token associated with the first physical storage box. The assignment information associated with the first physical storage box can be recorded to the blockchain. A first identity token can be received from the first user device. Instructions can be transmitted to the first physical storage box to transition from a locked to an unlocked state.

Abstract: Disclosed embodiments include systems and methods for providing a secure physical storage system. The system may receive a request to register a first physical storage box from an entity including location information and security information. The request can be validated by comparing the security information to a predetermined security threshold. The location information associated with the first physical storage box can be recorded to a blockchain. The first registration information can be received from a first user device. The first physical storage box can be assigned to the first user device and a first identity token associated with the first physical storage box. The assignment information associated with the first physical storage box can be recorded to the blockchain. A first identity token can be received from the first user device. Instructions can be transmitted to the first physical storage box to transition from a locked to an unlocked state.

Abstract: In an embodiment, a web-based non-profit fundraising and consumer marketing and analytics system is provided. In an embodiment, a web-based analytic system is provided. The system includes a message scheduler. The system further includes a donation stream, wherein the donation stream includes a set of donations and wherein each donation of the donation stream is provided with a time stamp, and wherein the time stamp correlates with a scheduled message from the message scheduler.

Abstract: A user device may obtain sensor data related to a physical environment. The user device may process the sensor data to determine that a potential threat exists in the physical environment and a threat score associated with the potential threat. The user device may determine that the threat score satisfies a threat score threshold. The user device may obtain, based on determining that the threat score satisfies the threat score threshold, additional information related to the physical environment. The user device may generate, based on the additional information related to the physical environment and at least one of the sensor data, information indicating the potential threat in the physical environment, or the threat score associated with the potential threat, threat determination information associated with the physical environment. The user device may perform, based on the threat determination information associated with the physical environment, one or more actions.

Abstract: The present disclosure relates to systems, methods, and computer-readable media to predict disengagement of a user from a gaming application and generate a recommendation for delivery to the user based on the predicted disengagement. For example, systems disclosed herein may train, receive, or otherwise obtain a disengagement prediction model trained to predict whether a user will disengage from a gaming application within a predetermined period of time. Systems described herein can further collect gaming data including system platform data and publisher-specific data to provide to the prediction model for use in determining a disengagement metric for the user. The systems disclosed herein may further generate a recommendation based on the disengagement metric and deliver the recommendation to a client device associated with the user.

Abstract: A system may include processor(s), and memory in communication with the processor(s) and storing instructions configured to cause the system to orient webpage content based on user attention. The system may determine a user has navigated to a webpage. The system may generate an attention level based on received user feature(s) associated with activity of the user on the webpage. Responsive to determining the attention level exceeds a predetermined threshold, the system may identify a duration associated with the attention level, transmit an offer to one or more entities to submit predetermined content based on the duration, receive predetermined content from the one or more entities, identify, based on a predetermined amount of predetermined content space, selected content of the received predetermined content for placement on the webpage, and cause a GUI of the user device to display the selected content.

Abstract: Disclosed embodiments may include a method and system for automated incremental payments. The system may identify recurring charges from historical account data. Based on the recurring charges and an incremental period, the system may calculate an incremental amount and expected amount. At each iteration of the incremental period, the incremental amount may be assigned to a savings bucket. The value of the savings bucket may be subtracted from an actual account balance to calculate a reduced account balance. The system may generate and transmit a graphical user interface to a user device showing the reduced account balance. The system may receive current data containing a charge that corresponds to the recurring charges. The system may reduce the value of the savings bucket by the amount of the current data charge. If the current data charge is different from the expected amount, the system may adjust the incremental amount accordingly.