Abstract: An auditory signal is received by a wearable contact lens. The auditory signal is received from a user. The receiving occurring during a listening mode. The wearable contact lens positioned adjacent to an eye of the user during the receiving. A connection is made from the wearable contact lens to a paired computing device of the user. The connection is through a personal network connection. The auditory signal is transferred from the wearable contact lens, through the personal network connection, to the paired computing device of the user.

Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.

Abstract: An Artificial Intelligence (AI)-based regulatory data processing system accesses a regulatory text corpus for training machine learning (ML) models including a topic extraction model, a feature selection model, an entity identification model and a section classification model. The regulatory text corpus includes documents pertaining to a specific domain corresponding to a received domain-specific regulatory text document. Various trained machine learning (ML) models are used to extract topics, identify entities from the new regulatory document and to classify portions of the domain-specific regulatory text document into one of a plurality of predetermined sections. The information in the new regulatory document is therefore converted into machine consumable form which can facilitate automatic execution of downstream processes such as identification of actions needed to implement the regulations and robotic process automation (RPA).

Abstract: An online system receives information describing a target group of online system users from a third party system that includes one or more user properties, which may identify an action performed by a an online user within a time interval to include the user in the target group. When an opportunity to present advertisement requests to a user is identified, the online system retrieves actions associated with the user and times associated with the actions. If an action associated with the user matches the action identified by the user properties and occurred within the time interval identified by the user properties, and other characteristics of the user satisfy at least a threshold number of the user properties, the online system includes the user in the target group. Advertisement requests having targeting criteria, including the target group, satisfied by characteristics of the user are evaluated for presentation to the user.

Abstract: Systems and methods for sharing user inventory information to initiate peer-to-peer exchanges of digital assets that are usable within an online gaming platform are disclosed. Exemplary implementations may: receive a sharing request for information regarding a first user inventory; access a blockchain to obtain asset information; transfer the asset information in response to the sharing request; receive an offer request for the transfer of ownership of a first digital asset from a first user to a second user; if the offer according to the offer request is accepted, receive a transfer request and transfer the ownership of the first digital asset as requested.

Abstract: Disclosed is a computing architecture and method for operating and managing a health care plan from a mobile device or web browser. The present invention provides an architecture that facilitates customer access to affordable, personalized health care, along with the efficient processing of claims.

Abstract: An order completion system and method are described. In some implementations, the system may execute the method which includes receiving an order from a user that includes a retail component; determining that a profile identification (ID) of the user is associated with prescription information of the user; forming a consolidated order by adding one or more eligible prescriptions associated with the user to the retail component of the order using the prescription information. The method may further include applying transaction rules to the consolidated order to determine whether the consolidated order is eligible for a single input authorized checkout; and responsive to determining whether the consolidated order is eligible for the single input authorized checkout, presenting to the user via a user interface, a prompt for the user to complete the consolidated order using the single input authorized checkout.

Abstract: Techniques are disclosed to calculate a “life script.” The life script may include various behaviors and/or monetary allocations required for a user to meet one or more user-defined objectives. These objectives may indicate various lifestyle habits desired by the user such as where to live, a maximum commuting time to work, how often to travel, etc. Because each of these objectives requires the user to allocate his funds in a certain way and to live in accordance with a particular set of restraints, user information may be collected and aggregated from several sources to generate a user profile indicating the user's financial information, demographics, psychographics, and lifestyle information. The user profile may then be analyzed to calculate a constraint framework that guides the generation of a life script to allow the user to achieve the desired objectives.

Abstract: Systems, methods, and products for auto tagging structured PDF documents that do not have accessibility tags. In one embodiment, structured PDF documents having accessibility tags are first parsed and analyzed to organize the visual components of the documents. The relationships of the identified objects to DOM elements (e.g., tags) are determined, and the objects and related DOM elements are stored in training files. The training files are used to train various classifiers. Untagged PDF documents are then parsed to identify included visual objects, and the classifiers are used to determine DOM elements that should be associated with visual objects identified in the untagged PDF documents. This information is used to construct a DOM structure corresponding to each untagged document. A new PDF is then generated corresponding to each untagged document using the generated DOM structure and visual object information.

Abstract: In some embodiments, a method includes in response to an integration tag included in a webpage at a first user interface being executed at a mobile device, receiving a mobile device identifier and a request to retrieve a purchase identifier. The method includes sending a first signal causing a frame to be provided within the webpage at the first user interface. The method includes in response to a first user input, receiving a Hyper Text Transfer Protocol (HTTP) POST request and determining a uniform resource identifier (URI). The method includes retrieving purchase information and sending a HTTP response message including the URI of the second user interface and the purchase information to deeplink to the second user interface and to cause the second user interface to be rendered at the mobile device with the purchase information pre-populated in an input field of a text message.