Abstract: Systems and methods for generation and aggregation of point-of-sale account data and generation of a marketplace platform are disclosed. Transaction information may be utilized to value one or more businesses, and those valuations may be presented to potential buyers in a generated marketplace platform. A remote system may facilitate a sales agreement between a buying merchant and a seller merchant by, for example, transferring funds from a remote system account to the selling merchant's account and accepting repayment from the buying merchant over time. Merging of transaction information and/or user accounts pursuant to the sales agreement may also be performed.

Abstract: A multi-cell rechargeable energy storage system (RESS) includes a plurality of battery cells organized into battery modules and a first enclosure configured to house the battery modules. The RESS also includes a first vent arranged on the first enclosure and configured to direct air from inside the first enclosure to an environment external to the first enclosure. The RESS additionally includes a second vent arranged on the first enclosure and configured to direct air into the first enclosure from the environment external to the first enclosure. The RESS further includes a phase-change material (PCM) device arranged on the second vent and configured to melt in response to at least one of the battery modules experiencing a thermal runaway event. In combination with the first vent, the PCM generates crossflow ventilation through the first enclosure to cool the battery modules therein and mitigate thermal runaway.

Abstract: Intelligent application of reserves to transactions are described. In an example, server(s) associated with a payment processing service receive, from a point-of-sale (POS) device operated by a merchant, transaction data associated with a payment transaction between the merchant and a customer. Based on a predictive model, the server(s) can determine a level of risk associated with the merchant and/or the payment transaction and can determine a portion of the transaction to withhold from a settlement amount of the payment transaction based at least in part on the level of risk. The portion can be deposited into a reserves account associated with the payment processing service to satisfy costs associated with chargeback requests.

Abstract: A system and method for generating a virtual content to a physical object is described. The system accesses a video that was captured by a camera. The video depicts a user performing a physical operation in relation to a physical object. The system determines metadata identifying positions of the camera relative to the physical object during the capturing of the video, identifies feature points of the physical object in the video, and retrieves a virtual object based on the feature points of the physical object. The system generates virtual content based on the video, the metadata, and the virtual object, and stores the object identifier and the virtual content relationally in a data storage that stores multiple sets of virtual content associated with multiple physical objects and their corresponding object identifiers.

Abstract: A system and method for generating a virtual content to a physical object is described. A processor includes an augmented reality application. The augmented reality application creates virtual content at the head mounted device, and associates the virtual content with predefined conditions based on data from sensors embedded in the head mounted device at a time of creation of the virtual content. The virtual content is displayed in a display of the head mounted device in response to sensor data satisfying the predefined conditions.

Abstract: A method, apparatus and computer program product are provided for calculating closing metrics regarding a contract between a promotion service and provider. A promotional system may calculate a probability of closing, and an estimated time to close. The promotion service may offer a promotion to consumers for a discounted product or service, to be honored by the provider. A category, lead source, historical data, stage in sales, and/or size of the provider may be used in calculating a probability of close and/or time to close. An example method may comprise supplying a classifying model with a dataset, wherein the dataset comprises an identification of a provider and attributes corresponding to the provider and identifying a class of the provider in accordance with the plurality of corresponding attributes, wherein the identification is determined based on one or more patterns determinative of a return rate by the classifying model.

Abstract: The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that utilize a transaction request fraud detection model with a harvesting threshold to detect account number harvesting from network transaction requests. For example, the disclosed systems can identify network transaction requests from a transaction facilitator computing device and transaction request response codes for the network transaction requests. Subsequently, utilizing a transaction request fraud detection model, the disclosed systems can determine that the number of network transaction requests that include declined transaction request response codes satisfies a harvesting threshold indicating an account number harvesting event. In response to the indicated account number harvesting, the disclosed systems can send a selected transaction request response for responses to additional declined network transaction requests instead of one or more original transaction request response codes.

Abstract: A contextual local image recognition module of a device retrieves a primary content dataset from a server and then generates and updates a contextual content dataset based on an image captured with the device. The device stores the primary content dataset and the contextual content dataset. The primary content dataset comprises a first set of images and corresponding virtual object models. The contextual content dataset comprises a second set of images and corresponding virtual object models retrieved from the server.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing machine-learning models to determine take-over scores and intelligently provide or limit access to account features. In particular, in one or more embodiments, the disclosed systems can train and utilize digital security machine-learning models to generate a take-over score indicating a likelihood that the request to access the secure digital account is unauthorized activity. Based on the determining that the take-over score satisfies a take-over threshold, the disclosed systems can allow access to the secure digital account by providing secure account information but prohibit access to a subset of account features.

Abstract: A server receives, from a first display device of a first user, first content data, first sensor data, and a request for assistance identifying a context of the first display device. The server identifies a second display device of a second user based on the context of the first display device. The server receives second content data and second sensor data from the second display device. The first content data is synchronized with the second content data based on the first and second sensor data. Playback parameters are formed based on the context of the first display device. An enhanced playback session is generated using the synchronized first and second content data in response to determining that the first sensor data meet the playback parameters. The enhanced playback session is communicated to the first display device.

Abstract: A lead connector system for use with electrical nerve stimulators is described herein. An example lead connector for an electrical stimulator system includes a body, a blade, and an insert. The body includes a cable interface and defines lead ports. The blade is affixed to the body. The blade has at least one angled portion. The insert slidably connects to the body. The insert includes a handle and a chassis. The chassis defines a lead channel coaxial with the lead ports and blade channels transverse the lead channel to accept the blade. The angled portion of the blade provides electrical contact between the cable interface and a lead inserted into the lead channel and extending through at least one of the lead ports.

Abstract: The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that utilize a variety of machine learning models and a base limit value model to generate user interface elements that transparently and efficiently present current and future base limit values for user accounts. For example, the disclosed systems can select from between multiple activity machine learning models and utilize the selected activity machine learning model with user activity data to determine an activity score. Then, the disclosed systems can determine a base limit value using a base limit value model that includes relations between activity scores and various user activity conditions. Additionally, the disclosed systems can generate user interface elements within a graphical user interface to display the determined base limit value, a subsequent base limit value, and user activity conditions to achieve the subsequent base limit value within a graphical user interface.

Abstract: Wearable devices for providing therapy to a patient may include disposable or reusable treatment pads. The treatment pads may include electrodes and are configured to apply energy to various regions around the head and eyes. The treatment pads may provide therapy when the eyes are open or closed. The wearable device may include a battery and/or control circuitry for issuing therapy pulses through the electrodes.

Abstract: This disclosure describes, in part, techniques for validating a money transfer request between a sender and a recipient via challenge questions. For instance, the method includes determining, by a payment service system, a level of risk associated with the money transfer request between the sender and the recipient; in response the level of risk being higher than a threshold, obtaining a query for the recipient, wherein the query is based at least on the current money transfer request or one or more past requests between the sender and recipient; receiving, from the recipient device, a response to the query; and validating the current payment transaction based on the response.

Abstract: A printing device (106) includes a laser source and a LCOS-SLM (Liquid Crystal on Silicon Spatial Light Modulator). The printing device generates a laser control signal and a LCOS-SLM control signal. The laser source (110) generates a plurality of incident laser beams based on the laser control signal. The LCOS-SLM (112) receives the plurality of incident laser beams, modulates the plurality of incident laser beams based on the LCOS-SLM control signal to generate a plurality of holographic wavefronts (214,216) from the modulated plurality of incident laser beams. Each holographic wavefront forms at least one corresponding focal point. The printing device cures a surface layer or sub-surface layer (406) of a target material (206) at interference points of focal points of the plurality of holographic wavefronts. The cured surface layer of the target material forms a three-dimensional printed content.

Abstract: A head-mounted device (HMD) of a first user has a transparent display. The HMD determines location information of a second user relative to the HMD of the first user. The second user is located within a predefined distance of the HMD. The location information identifies a distance and a direction of the second user relative to the HMD. The HMD receives audio content from the second user, generates augmented reality (AR) content based on the audio content, and displays the AR content in the transparent display based on the location information of the second user. The AR content appears coupled to the second user.

Abstract: Intelligent application of reserves to transactions are described. In an example, server(s) associated with a payment processing service receive, from a point-of-sale (POS) device operated by a merchant, transaction data associated with a payment transaction between the merchant and a customer. Based on a predictive model, the server(s) can determine a level of risk associated with the merchant and/or the payment transaction and can determine a portion of the transaction to withhold from a settlement amount of the payment transaction based at least in part on the level of risk. The portion can be deposited into a reserves account associated with the payment processing service to satisfy costs associated with chargeback requests.

Abstract: Wearable devices for providing therapy to a patient may include disposable or reusable treatment pads. The treatment pads may include electrodes and are configured to apply energy to various regions around the head and eyes. The treatment pads may provide therapy when the eyes are open or closed. The wearable device may include a battery and/or control circuitry for issuing therapy pulses through the electrodes.

Abstract: Intelligent application of reserves to transactions are described. In an example, server(s) associated with a payment processing service receive, from a point-of-sale (POS) device operated by a merchant, transaction data associated with a payment transaction between the merchant and a customer. Based on a predictive model, the server(s) can determine a level of risk associated with the merchant and/or the payment transaction and can determine a portion of the transaction to withhold from a settlement amount of the payment transaction based at least in part on the level of risk. The portion can be deposited into a reserves account associated with the payment processing service to satisfy costs associated with chargeback requests.

Abstract: A server receives, from a first display device of a first user, first content data, first sensor data, and a request for assistance identifying a context of the first display device. The server identifies a second display device of a second user based on the context of the first display device. The server receives second content data and second sensor data from the second display device. The first content data is synchronized with the second content data based on the first and second sensor data. Playback parameters are formed based on the context of the first display device. An enhanced playback session is generated using the synchronized first and second content data in response to determining that the first sensor data meet the playback parameters. The enhanced playback session is communicated to the first display device.