Abstract: A tracking liquidity order and related market center and process are disclosed which allow posting market centers (e.g. exchanges) to fill routable, smaller orders that would have otherwise routed off the posting market center. Such tracking liquidity orders increase the liquidity of that posting market center and allow it to execute more orders internally, without having to route them to an away market center.

Abstract: An asset management system is disclosed where a plurality of financial databases may connect with and be in communication with an asset management tool. The asset management tool is able to create an individual spending plan (scheduled distributions) and matching fixed income investment portfolio for a user based on inputted parameters with automatic distributions from the portfolio consistent with the individual spending plan occurring with a high degree of certainty. The asset management tool may communicate with the plurality of financial databases to put the individual spending plan and matching portfolio into action and is able to calculate and communicate an optimized surplus investment as a means of self-insuring so that the predefined schedule of distributions is met with the effective certainty one would expect from an insured/guaranteed income product.

Abstract: The innovation disclosed and claimed herein, in one aspect thereof, comprises systems, methods and computer program products that enable transactions requested by a user using a trade asset card. The innovation enables the transactions to be completed in real time or near real time per pre-determined rules and settings, or audited changes to rules and settings, while staying perpetually invested in the user's investment portfolio.

Abstract: A computer implemented method determines a margin requirement for a financial product portfolio. Market conditions for the financial product portfolio are characterized by a zero curve. The method includes producing a plurality of scenario curves, each scenario curve reflecting a principal component analysis (PCA) model of the zero curve with a respective PCA factor of a plurality of PCA factors of the PCA model offset from a corresponding base value for the zero curve, calculating a respective projected value of the financial product portfolio for each scenario curve of the plurality of scenario curves, calculating a loss risk amount for each PCA factor based on the respective projected value and a current value of the financial product portfolio, and determining the margin requirement based on a sum of the loss risk amounts for the plurality of PCA factors.

Abstract: Aspects described herein may allow displaying of augmented reality content items associated with selected vehicle models, as well as price or budget information associated with the displayed vehicle to facilitate the user to make purchasing or financing decisions. For example, a computing device may detect a plurality of physical anchors attached to a vehicle husk and determine location information for each of the plurality of physical anchors. The computing device may receive one or more augmented reality (AR) content items corresponding to one or more vehicle features for the selected vehicle model and display via an AR interface, the one or more AR content items positioned relative to the vehicle husk based on the location of each of the plurality of physical anchors, as well as a price associated with the selected vehicle model having the one or more vehicle features.

Abstract: Systems and methods related to sourcing and managing a supplier is provided. For example, a system includes a processor operatively coupled to a memory and configured to receive an indication of one or more sourcing designations for a property and casualty insurance claim from a remote device, evaluate at least one of a respective risk and a respective cost associated with multiple suppliers that may be used to address the one or more sourcing designations, provide a recommendation to use a recommended supplier of the multiple suppliers based at least in part on the at least one of the respective risk and the respective cost of the multiple suppliers, and generate a contract that is appropriate for use with the recommended supplier of the multiple suppliers.

Abstract: Systems and methods for detecting, extracting, and categorizing structure data from aerial imagery following a major weather event are provided. The system processes digital images and weather data to automatically detect, extract, and categorize structure data following a major weather event. After receiving an indication of a region of interest (“ROI”) from a user, the system retrieves weather mapping data for the ROI and retrieves information related to attributes of structures within the ROI from a machine learning subsystem. The system then cross-references the property data, the weather data, and the structure attributes and assigns a risk rating to the structures within the ROI. Finally, the system generates and delivers a data package to the user.

Abstract: A user interface with visual presentation of data, real time risk adjustment, and underwriter approval processes is described. The system provides computer control for performing cashflow analysis, assessing risk, optimizing loan offers, generating dashboards with status information and tile displays of loan application data, and displaying of optimized loan offers. The dashboard includes a progress indicator of an electronic loan request to a complete loan application and finally to an approval or rejection. The dashboard also includes visual indications, including color and signals, directing the underwriter's attention to important or necessary action steps to reject or advance the loan. The dashboard interface can be customized. The dashboard interface includes a moveable, arrangeable, multi-sided color-coded tile system.

Abstract: A method for identifying a primary vehicle associated with a user of a mobile device includes receiving an indication of a vehicle entry event from a mobile device and retrieving sensor data from the mobile device. The method further includes receiving an indication of a vehicle exit event from the mobile device, generating a trip log including portions of the sensor data, and storing the trip log in a trip database. A server, or other suitable computing device, then analyzes the trip log and a plurality of previously stored trip logs in the trip database to determine a primary vehicle corresponding to the user of the mobile device. The method may allow a computing device to assign gathered mobile device data to a specific household vehicle.

Abstract: A method for determining vehicle insurance costs includes receiving a starting location and a destination location for a trip using a vehicle. One or more routes for the vehicle from the starting location to the destination location are received. A cost of insurance is determined for each of the one or more routes for the trip. The cost of insurance for each of the one or more routes for the trip is displayed. A selected route from the one or more routes is received. Operation of the vehicle for the trip is enabled along the selected route.

Abstract: One or more devices in a life insurance clearinghouse system may be configured to store and maintain life insurance customer data and policy data in one or more life insurance databases. A life insurance clearinghouse may store, for example, customer information, policy types and terms, and coverage amounts for life insurance policies associated with multiple different life insurance providers. Various systems and devices, such as insurance provider computer hardware memory and processor systems, insurance clearinghouse computer memory and processor devices, and customer terminals, may retrieve life insurance customer data and/or policy data associated with multiple different life insurance providers, from one or more databases in a life insurance clearinghouse.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

Abstract: Platform-agnostic digital assistant methods and apparatuses are provided. The apparatuses and methods include a processor configured by a memory to receive user data from a storage containing informational contents. The processor is configured to establish a communication channel with an entity and utilize the communication channel to receive first information related to a user. The processor is configured to extract at least one user datum from the first information and modify the informational contents of the storage based on at least one of the user datum and the first information. The processor is further configured to initiate an action related to the user based on at least one of the first information, the user datum, and the informational contents.

Abstract: A data management system identifies data stores that store transaction datasets associated with transactions. The data stores are configured based on respective parameters, and continue to receive additional transaction data over time. The system generates scripts based on the data stores' parameters and based on a filtering scheme. The system uses the scripts to extract subsets of the transaction datasets according to the filtering scheme in real-time as the data stores continue to receive additional transaction data. The system merges the extracted subsets of the transaction datasets into an output dataset according to an output scheme, and analyzes the output dataset, all in real-time as the data stores continue to receive the additional transaction data and the system continues to merge the extracted subsets. By analyzing the output dataset, the system recognizes a pattern in the output dataset. The system outputs an alert indicative of the recognized pattern.

Abstract: The invention provides methods, systems and computer program products for implementing social networks that provide for reliable verification and validation of user content. In an embodiment, the invention enables implementation of social networks that enable recordation and validation of social contributions of members.

Abstract: The present disclosure generally relates to contact management and communication with contacts. On a portable electronic device having a display a plurality of affordances associated with a plurality of contacts are displayed. A first user input is received selecting a first affordance of the plurality of affordances for a first contact of the plurality of contacts. In response to receiving the first user input and in accordance with a determination that a first communication application is in a set of communication applications installed on the portable electronic device, a contact information interface is displayed for the first contact. The contact information interface includes a first contact identification field for the first contact. The first contact identification field is associated with the first contact and the first communication application.

Abstract: A method comprising while traversing, by a current agricultural implement during a current agricultural operation, a plurality of current geo-referenced locations: receiving, from one or more sensors, mounted in the current agricultural implement, current data at the plurality of current geo-referenced locations, wherein the plurality of current geo-referenced locations includes a plurality of swath locations; dynamically displaying a visual correlation between previous data collected from a previous agricultural operation and the current data, comprising: rendering a bitmap from bitmap values corresponding to the current data, wherein the bitmap includes only those bitmap values that are associated with a threshold number of swath locations; generating a plurality of values of the previous data corresponding to a current geo-referenced location of the current agricultural implement; and displaying, on a display device, the plurality of values of the previous data as visually correlated with the current data

Abstract: A computer-based method, system, and computer program product for automatically identifying significant events for food traceability. The method may comprise receiving a series of events from an agriculture supply chain entity, automatically determining, at a machine learning model of an event analysis module, one or more events in the series having a significance for food traceability greater than a threshold, and automatically reporting the one or more events to a ledger.

Abstract: The present disclosure describes techniques that facilitate a Governance Regulatory Compliance (C-GRC) controller that is configured to dynamically monitor and collate data associated with an agricultural operation for demonstrating compliance with an agricultural compliance plan. The C-GRC controller may act as a centralized server that dynamically monitors the cycle of agricultural activities for an agricultural product and in doing so, automates the governance of an agricultural compliance plan across a plurality of entities that are each responsible for one or more agricultural activities. The C-GRC controller may detect independent interactions conducted between a complying entity and a participating entity. These interactions may be intended to gather information relating to compliance of a pending task. In doing so, the C-GRC controller may update an agricultural compliance plan accordingly.

Abstract: A method for tracking, managing, and fulfilling data loading service request includes: receiving a data loading service request for loading oilfield-related data to an application; generating a service ticket based on the request, the service ticket identifying details of the data loading service request; assigning one or more tasks associated with the service ticket to one or more resources; receiving, from the one or more resources, information regarding status of completion of the requested service; and providing one or more updates on the status of the requested server to the user through an oilfield-related user interface.

Abstract: An information processing device includes a processor configured to: acquire renewable power generation information from a renewable energy power generation server; acquire at least one of hydrogen power generation information from a hydrogen power generation server and fuel cell information; acquire grid power generation information from a grid power generation server; acquire electric power information from each of a plurality of consumer facilities in a predetermined area, the electric power information being regarding an amount of electric power consumed by the consumer facility; and generate proposal information including information on a type of electric power supplied to a predetermined consumer facility based on at least one of the renewable power generation information, the hydrogen power generation information, and the fuel cell information, the grid power generation information, and a plurality of pieces of the electric power information, and output the proposal information to the predetermined con

Abstract: A damage assessment (DA) computing device for determining building damage may be provided. The DA computing device may train a machine learning damage model using historical damage data, identify a plurality of buildings that are susceptible to potential damage from an upcoming weather event, the plurality of buildings including the building, input data associated with a roof of the building to the trained damage model, receive a model output from the trained damage model, the model output including a damage status of the roof representing the predicted extent of damage to the roof, when the predicted extent of damage to the roof exceeds a threshold, automatically generate a claim initiation message including a link that, upon selection thereof, causes initiation an insurance claim for the roof based upon the model output and the parameters associated with the building, and/or transmit the claim initiation message to a user.

Abstract: The present inventors devised, among other things, an application development system and method. One exemplary method entails providing a set of legal research application feature or functions and receiving a first configuration file from a user, selectively enabling or disabling one or more of the features to define a first legal research application on a first server for a first country. The method further entails receiving a second configuration file from a user, which similarly selectively enables of disables one or more of the features to define a second legal research application on a second server for a second country. The configuration files also customize the user interfaces accord to brand specific criteria for each of the countries.

Abstract: Aspects of distributed ledger technology are leveraged to verify subrogation settlements. In particular, two parties to a subrogation claim provide cryptographic hashes to a subrogation demand smart contract stored at an address on a blockchain. The subrogation demand smart contract determines that the parties have reached an agreement by determining that the cryptographic hashes match. A settlement amount from the subrogation claim may be appended to a set of settlement amounts to determine a net settlement amount to facilitate a single payment between the parties on a periodic basis, such as daily, to alleviate the need for the parties to send or receive a payment for each individual settlement amount.

Abstract: A system may include a first computing system that may include at least one processor. The at least one processor may receive a request for identification information associated with a user of the first computing device, such that the request is received from a second computing device. The at least one processor may then receive information regarding an entity associated with the second computing device, retrieve data comprising the identification information from a storage component, generate additional data comprising a portion of the identification information based on the information regarding the entity, and send the additional data to the second computing device.

Abstract: A computer server may receive, from a remote device, an indication of a selection of a subset of a plurality of vendor entities associated with an enterprise. The server may then access a vendor data store to obtain vendor parameters associated with the subset of vendor entities, wherein the vendor data store contains electronic records representing a plurality of vendor entities, and each electronic record includes an electronic record identifier, vendor parameters, and an electronic communication address. The server may then automatically analyze the obtained vendor parameters and data in a metric data store (e.g., benchmark information) to generate vendor logistical variance results for each of the subset of vendor entities. An indication of the vendor logistical variance results may then be transmitted to be displayed on an interactive graphical user interface display that includes at least one electronic communication address from the vendor data store.

Abstract: A device may receive schedule data identifying schedules of appointments for drivers of vehicles and may receive location data identifying geographical locations of the vehicles. The device may receive traffic data identifying traffic conditions, and may process the received data, with a first model, to determine status data identifying estimated statuses of the appointments. The device may process the received data, with a second model, to generate sets of isochrones for destinations of the appointments, and may calculate, based on the sets of isochrones and the location data, estimated travel time data identifying estimated travel times for the appointments. The device may process the status data, the estimated travel time data, and the schedule data, with a third model, to calculate estimated time of arrival data identifying estimated times of arrival for the appointments, and may perform actions based on the estimated time of arrival data.

Abstract: A provider, such as a transportation management service, can manage transport for a number of riders between various locations. A customer can request transport between different locations. The provider may analyze the request for salient information, such as information corresponding to a start and end location, and determine whether there are errors in the salient information that would prevent the provider from providing the requested service. When the provider detects errors, the provider may request additional information from the customer in order to correct the errors.

Abstract: Watermarking media content, in combination with blockchain and distributed storage networks, prevents the proliferation of Deepfake content. Digital watermarks are embedded in the audio and video tracks of video clips of trusted content producers at the time the videos are captured or before they are distributed. The watermarks are detected at the social media network's portals, nodes, and back ends. The embedded watermark imparts a unique identifier to the video, that links it to a blockchain. The watermarks also allow video source tracking, integrity verification, and alteration localization. The watermark detectors can be standalone software applications, or they can be integrated with other applications. They are used to perform three main tasks: (1) they alert the Internet user when he watches an inauthentic news video, so that he may discard it, (2) they prevent a Deepfake content from propagating through the network (3) they perform forensic analysis to help track and remove Deepfake content postings.

Abstract: A weighted average execution time associated with each execution stage of a plurality of execution stages used to process a plurality of frames in parallel is obtained. The processing of each of the plurality of frames is performed at each of the plurality of execution stages in a sequential order, starting with an initial execution stage and continuing with each subsequent execution stage. A first largest weighted average execution time associated with one of the plurality of execution stages is determined. A delay to the initial execution stage prior to processing a first next frame is applied. The delay is determined based on the first largest weighted average execution time.

Abstract: A method and system for generating and shading a computer graphics image in a tile based computer graphics system is provided. Geometry data is supplied and a plurality of primitives are derived from the geometry data. One or more modified primitives are then derived from at least one of the plurality of primitives. For each of a plurality of tiles, an object list is derived including data identifying the primitive from which each modified primitive located at least partially within that tile is derived. Alternatively, the object list may include data identifying each modified primitive located at least partially within that tile. Each tile is then shaded for display using its respective object list.

Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.

Abstract: Input/output filter units for use in a graphics processing unit include a first buffer configured to store data received from, and output to, a first component of the graphics processing unit; a second buffer configured to store data received from, and output to, a second component of the graphics processing unit; a weight buffer configured to store filter weights; a filter bank configurable to perform any of a plurality of types of filtering on a set of input data, the plurality of types of filtering comprising one or more texture filtering types and one or more pixel filtering types; and control logic configured to cause the filter bank to: (i) perform one of the plurality of types of filtering on a set of data stored in one of the first and second buffers using a set of weights stored, and (ii) store the results of the filtering in one of the first and second buffers.

Abstract: A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. A plurality of failure resilient stripes is distributed across the plurality of storage devices such that each of the plurality of failure resilient stripes spans a plurality of the storage devices. A graphics processing unit is operable to access data files from the failure resilient stripes, while bypassing a kernel page cache. Furthermore, these data files may be accessed in parallel by the graphics processing unit.

Abstract: An apparatus for generating an emoji includes an analyzer that is configured to, in response to an utterance of a user being input, acquire at least one of context information or information about a sentiment of the user. AN emoji generator generates a new emoji based on emoji generation information including information related to at least two among the context information, the information about the sentiment of the user, and information about an intent of the user corresponding to the utterance. The emoji generator is configured to select a plurality of emojis that match the emoji generation information from among a plurality of stored emojis and combine at least some of the plurality of emojis to generate the new emoji.

Abstract: An exercise instruction apparatus for guiding a user to perform a fitness exercise includes a control unit and a display device. The control unit is configured to control a video imagery displayed by the display device. The video imagery shows an instructor image and a user image simultaneously. The instructor image demonstrates movements of the fitness exercise and the user image presented in a mirror image is a real-time image of the user standing in front of the display device. The control unit is configured to adjust at least one image parameters such as brightness, transparency or contrast of at least one of the instructor image and the user image. The image parameter that is adjusted for the instructor image may be a different parameter than the image parameter that is adjusted for the user image. The instructor image may be overlapped on the user image, and the user can adjust the transparency of at least one of the first image and the second image.

Abstract: A computing device obtains a video and obtains a target facial image, where the target facial image comprises a target face to be edited. The computing device determines a target facial feature vector from the target facial image to be edited. For each of a plurality of frames in the video, the computing device is further configured to: identify facial regions of individuals depicted in the video, generate candidate facial feature vectors for each of the identified facial regions, compare each of the candidate facial feature vectors to the target facial feature vector, and apply a mask effect to facial regions of corresponding facial feature vectors based on the comparison to generate an edited video.

Abstract: Methods, systems, and computer programs are presented for enhancing a machine-generated product image. One method includes an operation for receiving a request on a user interface (UI) to generate an image, where the request comprises a description of the image to be generated and identification of a product for inclusion in the image. The method further includes operations for generating, by a generative artificial intelligence (GAI) model, a first image based on the request, analyzing the first image to identify a presentation of the product in the first image, and selecting a product image from a database of product images based on the identification of the product. The method further includes replacing the presentation of the product in the first image with the selected product image to obtain a second image, and causing presentation in the UI of the second image.

Abstract: Computer-implemented systems and methods for rendering a visual effect on a graphical element, including: generating an initial visual effect based on the graphical element; computing a mask shape based on the graphical element; generating a mask based on the mask shape from the graphical element; masking the initial visual effect based on the mask to generate a masked visual effect; and combining the masked visual effect with the graphical element into a combined graphical element and visual effect.

Abstract: A method, performed by a coloring apparatus, of coloring a sketch image includes adding a color pointer on the sketch image, according to an input of a user; determining an object related to a point where the color pointer is located, from among objects configuring the sketch image; and generating a colored image by coloring the determined object, based on a color of the color pointer.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize an optimization model for generating vector patterns with complex vector structures. For example, the disclosed systems iteratively optimize the similarity between local input and output neighborhoods that account for clusters. Specifically, based on an input exemplar vector image, the disclosed systems generate a sample input cluster representation for more robust iterative sample optimization and pattern reconstruction. To illustrate, the disclosed systems optimize output cluster configurations based on input clusters such that the output clusters minimize a shape energy and a link energy (e.g., to better preserve shape and structure details from the original vector pattern in the input exemplar vector image). From the output clusters, the disclosed systems can reconstruct additional vector elements to create a new vector image with a synthetic vector pattern.

Abstract: A non-transitory computer-readable recording medium records an input program for causing a computer to execute selecting contents displayed on a display screen of a display, and inputting the selected contents to an input area on the display screen upon receiving an execution instruction while the selected contents are selected.

Abstract: Methods and apparatus to generate and display trends associated with a process control system are disclosed. An example apparatus includes memory, machine readable instructions, and processor circuitry to execute the instructions to generate a first graphical user interface. The first graphical user interface to include a graphical representation of a component in a process control system. The processor circuitry to generate a second graphical user interface. The second graphical user interface to include a chart region with a trend represented therein. The trend indicative of values of a process parameter of the process control system over a period of time. The processor circuitry to automatically generate the trend in the chart region in response to a graphical element being dragged and dropped from the first graphical user interface to the second graphical user interface.

Abstract: Systems, devices, and methods provide an augmented reality visualization of a real world accident scene. The system may comprise an augmented reality visualization device in communication with a display interface. The display interface may be configured to present a graphical user interface including an accident scene that corresponds to a real world location. The augmented reality visualization device (and/or system) may comprise one or more data stores configured to store accident scene information corresponding to the real world location, such as vehicles, motorcycles, trees, road objects, etc. Additionally, the one or more data stores may also store participant information corresponding to details about other multiple participants, such as witnesses, other drivers, and/or police officers.

Abstract: Text is generated from an object. Text is generated from a first object. The first object includes a second object and a third object. A step of detecting coordinate data of the second object is included. A step of detecting coordinate data of the third object is included. A step of extracting positional relation between the second object and the third object from coordinate data is included. A step of converting the extracted positional relation into graph data is included. A step of generating text about the positional relation between the second object and the third object from graph data is included.

Abstract: Disclosed herein are methods, systems, and computer-readable media for generating an image corresponding to a text input. In an embodiment, operations may include accessing a text description and inputting the text description into a text encoder. The operations may include receiving, from the text encoder, a text embedding, and inputting at least one of the text description or the text embedding into a first sub-model configured to generate, based on at least one of the text description or the text embedding, a corresponding image embedding. The operations may include inputting at least one of the text description or the corresponding image embedding, generated by the first sub-model, into a second sub-model configured to generate, based on at least one of the text description or the corresponding image embedding, an output image. The operations may include making the output image, generated by the first second sub-model, accessible to a device.

Abstract: A computer-implemented method is provided. The computer-implemented method includes rendering a dynamic effect to one or more objects in an image. The method includes setting boundary points surrounding a foreground object to define a boundary area in which a dynamic movement is to be realized; setting a movement line to define a dynamic movement direction along which the dynamic movement is to be realized, wherein setting the movement line includes detecting a continuous touch over different positions on the touch control display panel; setting a stationary area to define an area in which the dynamic movement is prohibited, wherein setting the stationary area includes detecting a first touch area corresponding to the stationary area on the touch control display panel; and generating an animation of the foreground object in the boundary area moving along the dynamic movement direction, thereby realizing the dynamic effect in the image.

Abstract: There is provided a data processing device including: a data acquisition unit configured to acquire animation data in which clothing moves according to a motion of a wearer's body wearing the clothing; and a data update unit configured to update the animation data based on three types of elements having ratios in accordance with a specified type of an emotion. There is provided a data processing method that is executed by a computer, the data processing method including: acquiring animation data in which clothing moves according to a motion of a wearer's body wearing the clothing; and updating the animation data based on three types of elements having ratios in accordance with a specified characteristic of a motion.

Abstract: A method for controlling effects on a live video stream includes providing a video image from a content creator device and displaying the video image on a first viewer device. A selection of a sticker graphic is received on the first viewer device. A position of a user input operation on the displayed video image is determined. The determined position of the user input operation on the displayed video image is converted to a position of the user input operation on the video image. The selected sticker graphic is applied to the video image at the position of the user input operation on the video image. The applied sticker graphic is displayed along with the video image on at least the first viewer device.

Abstract: The disclosed systems and methods provide a cloud-based framework for the creation and/or enhancement of high quality media content for dissemination over a computerized network. The disclosed framework is configured to operate in accordance with at least one of a content creation, content enhancement and/or rendering template. Such templates can function as rules engines that call specific types of ML or AI algorithms or routines that modify the input data according to the type of template being used. Thus, the disclosed framework can be utilized for creating new high-quality media, improving upon existing media and/or reformatting media for rendering upon dissemination.