Abstract: A digital brand asset system is provided enabling a brand owner to create, distribute, maintain, manage, merchandise and analyze smart brand assets. The system enables distribution and sharing of smart brand assets across the websites. The websites can host webpages containing codes representing the smart brand assets. When a user device retrieves a webpage from one of the websites and renders the webpage, it executes the codes and requests the content of the smart brand assets from a brand asset server. Through the brand asset server, a brand owner can control the content and the presentation of the smart brand asset hosted by the websites, based on various factors such as previous click through rates, aggregated shopper behaviors, geographical locations of the websites or website visitors, categorized types of websites, blacklist of websites.

Abstract: The usefulness of content (target content), such as advertisements, may be increased by determining additional content and providing such additional content in association with the content. The target content may be text, a Web page, a URL, a search query, etc. The additional content might be related suggested queries (e.g. “Try a search for ______”), news articles (or excerpts or summaries thereof), reviews (or excerpts or summaries thereof), advertisements, user group messages, etc.

Abstract: A system and method for selecting diverse product titles to display on a website are disclosed. In some example embodiments, the methods and systems described herein identify available products to be displayed, cluster the identified products based on their similarity to one another, select one or more products from each of the clusters, and display information, such as a title, associated with the randomly selected products.

Abstract: Among other things, embodiments of the present disclosure enables corporate entities to connect with each other and enables social networking interactions, credibility rating, identity verification, and/or business transactions between the corporate entities.

Abstract: Apparatus and associated methods relate to presenting for selection, services comprising at least one bundled set of healthcare services to be performed separately by respective providers, determining a bundle price for the at least one bundled set of healthcare services and in response to receiving payment in an amount of the bundle price, generating a persistent purchase data record with a unique confirmation number that is selectively redeemable by the user to receive each of the healthcare services in the bundled set. The bundle price may be discounted and/or based on the location or time at which at least one service will be performed. The bundle price may also be based on the user's remaining health insurance deductible. A single payment may be disbursed to multiple providers of the bundled set of healthcare services. The received and/or disbursed payment may be in virtual funds.

Abstract: The technology includes an example method for determining matching items. In some implementations, the method may determine a first set and second set of attributes and attribute types associated with a first and second item, respectively, based on description data associated with the items. The method may determine an attribute-type indicator for a pairing of a first attribute of the first set with a second attribute of the second set based on attribute types of the attributes, compute an attribute value for the pairing based on a similarity between the first and second attribute, and compute a match score for a combination of the first and second items based on the attribute value and attribute-type indicator. The method may also, in response to receiving a data query identifying the first item, provide a graphical user interface including a graphical element representing the second item based on the match score.

Abstract: At an artificial intelligence system, gifting-related ranking information pertaining to a plurality of items is obtained. Using the ranking information and respective feature sets corresponding to the items, a machine learning model is trained to generate respective gift-suitability scores corresponding to individual items. Based on a gift-suitability score generated by a trained version of the model, a gift-giving recommendation is generated indicating a particular item as a candidate gift. An explanation for the recommendation, expressed in natural language, is provided with the recommendation.

Abstract: Techniques are provided for optimizing a graph. The graph can be generated with a source node, a plurality of item nodes, and a terminal node. Once generated, the graph can be optimized to determine a lowest cost flow from the source node to the terminal node based at least in part on respective budget measurements. A first account node and a first item node can be determined and an account corresponding to the first account node, as well as information that identifies an item corresponding to the first item node can be transmitted.

Abstract: A system includes a computing device configured to receive order data indicating an order placed by a customer on an e-commerce platform and route the order into a test group or a control group when the order data indicates that the order will be filled by a store participating in the comparison test. The computing device is further configured to apply test features to the order if the order was routed into the test group and apply control features to the order if the order was routed into the control group and determine recommended substitute items based on the test features or the control features. The recommended substitute items are intended to replace items ordered by the customer that are unavailable. The computing device is also configured to determine one or more performance metrics of the test group and the control group.

Abstract: Business goals may be achieved using adaptive rewarding for the personalization of contents. In response to receiving user information, personalized contents for the user can be recommended using a reinforcement learning algorithm. In response to presenting the personalized content to the user, an action by the user selecting a particular content may be received. A reward value can be calculated for the action based on a reward function. The reward function can be based, at least in part, upon the action, the selected content, and/or the user. The reward function can be based upon one or more business goals, such as user engagement, monetization, and/or security. The calculated reward value can be provided to the reinforcement learning algorithm, which can be adapted based upon the reward value for future selection of personalized contents.

Abstract: The disclosure describes a system and methods for implementing a recommendation engine. The recommendation engine can at least receive a travel history log, wherein the travel history log includes a route traversed by a customer; receive a route information from a database for the route, where the route information includes an accident history for the route; generate a route traverse percentage based on the travel history log; generate a route categorization score based on the accident history for the route and the route traverse percentage; and generate a vehicle recommendation based on the route categorization score.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for generating recommendations regarding products. A method may include determining a set of content features including one or more product attributes; determining a set of latent features; receiving a query user identifier and a query product identifier; determining a feature vector associated with the query user identifier and the query product identifier based on the set of content features and the set of latent features; determining one or more model coefficients for a linear model; and utilizing the linear model to determine a fit score for the query user identifier and the query product identifier.

Abstract: An object tracking system that includes a sensor, a weight sensor, and a tracking system. The sensor is configured to capture a frame of at least a portion of a rack within a global plane for a space. The tracking system is configured to detect a weight increase on the weight sensor and to determine a weight increase amount on the weight sensor. The tracking system is further configured to receive the frame, to determine a pixel location for the first person, and to determine a person is within the predefined zone associated with the rack. The tracking system is further configured to identify the plurality of items in a digital cart associated with the person, to identify an item from the digital cart with an item weight that is closest to the weight increase amount, and to remove the identified item from the digital cart associated with the person.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises an analytic server for aggregating and displaying all the electronic requests on one merchant device. The analytic server receives a plurality of electronic messages corresponding to a plurality of electronic requests from a plurality of service provider computers. The analytic server executes an extraction protocol to extract the order data within each electronic messages and stores the extracted data into a database. The analytic server generates a machine-readable file for each merchant comprising all the order records for the same merchant received from different third-party service provider computers. The analytic server transmits the machine-readable file to the merchant computing device, which populates a GUI according to the machine-readable file. Because all the orders are in one spot, the merchant may manage the orders, perform statistical calculations, and generate sales reports more efficiently.

Abstract: Systems, methods, and media for picking-up and delivering products are disclosed. Some embodiments route shoppers to acquire products for multiple customers orders from multiple suppliers using a variety of transportation modes. The transportation modes may differing maximum weight carrying and volume carrying capacities, maximum vehicle speeds. Moreover, some embodiments may account for a different number vehicles for each transportation mode and may further account for the availability of shoppers and vehicles.

Abstract: Example embodiments are directed to systems and method to facilitate omnichannel retailing. A networked system determines a location of the user device within a store and accesses a map of the store. An item from a list of one or more items is identified, whereby the item has a plurality of locations within the store. A first location of the item from the plurality of locations is selected. The networked system causes display, on a user interface on the user device, of the location of the user device and the first location of the item and causes display of a user interface element that is operable to receive user selection of a different location from the plurality of locations. In response to receiving the user selection, the networked system ceases display of the first location on the map and causes display of the different location on the map.

Abstract: A smart display apparatus and a smart display method are provided. The smart display apparatus includes: a transparent display screen; a commodity position acquiring module configured to acquire position information of a plurality of commodities; and a control processing unit including a commodity determining unit and a control display unit; the commodity determining unit is configured to determine a recommended commodity; and the control display unit is configured to control the transparent display screen to display a first image of the recommended commodity, and configured to control the transparent display screen to display a commodity recommending mark according to the position information of the recommended commodity so as to indicate a customer to observe the recommended commodity through the transparent display screen.

Abstract: Methods and Apparatus related to generating representations of information. The information may include menu information for merchants such as restaurants. Referring to menus, methods may include receiving potential information for a first menu, and receiving indications of associations of the information with the first menu and/or any number of additional menus. Information and/or associations may later be updated by a desired set of users.

Abstract: Systems and methods according to present principles involved highlighting objects such as on a store shelf. Highlighting is displayed by projecting a light directly on the object by means of a light source or may alternatively be indicated by displaying an indicator or image of the object on a display screen. Information about the targeted object may appear in a headmounted display, on a user's mobile device, or may be projected on a surface via the projector. Information provided to a user may include comparison product data, data about potential allergens, and the like. Highlighting can also be employed to suggest items of interest to the user. For example, products may be recommended to a user through analysis of user data and such products illuminated by a projector as a user walks through a store. Other highlighted objects may be those on a user grocery list or the like.

Abstract: A computer system configured to integrate a plurality of websites is provided. The computer system includes a memory, a display, and at least one processor coupled to the memory and the display. In one example, the system comprises a monitoring component executed by the at least one processor and configured to analyze web content generated by a website provider and detect one or more identified elements within the web content. The system may also comprise a converting component executed by the at least one processor and configured to, responsive to detection of the one or more identified elements by the monitoring component, convert at least one portion of the web content into converted content, wherein the at least one processor is configured to display, in the display, the converted content and at least one other portion of the web content.

Abstract: A system for generating video content may include a bank database that has a first set of data associated with an account status of an individual. The system may also include a credit provider database that includes a second set of data associated with a credit status of the individual and at least one processor. At least one processor may receive an indication that the credit status of the individual has changed, retrieve the first set of data from the bank database and the second set of data from the credit provider database, generate a personalized financial video associated with the individual based on the first set of data and the second set of data, and transmit the personalized financial video to a computing device associated with the individual.

Abstract: Systems and methods are provided for enabling a dealer to configure a plurality of financing plans for a vehicle purchase by a buyer. A first interest rate is determined for a first financing plan for the purchase without any products. A selection of products to be purchased is accepted and the expected profits from their sale is determined, and a second interest rate for a second financing plan for the vehicle purchase with the products is determined, wherein the second interest rate is lower than the first interest rate. The system accepts a profit setting representing a portion of the expected profits that can be applied to lower the interest rate and facilitate the second financing plan for the purchase with the second interest rate.

Abstract: One embodiment comprises data processing system comprising a data store storing a set of inventory records for a program pool of vehicles, a processor and a memory coupled to the processor storing a set of computer executable instructions. The set of computer executable instructions may be executable to receive, from a mobile application, a selection of a vehicle from the program pool, retrieve the inventory record for the selected vehicle, create, at the server, an order to capture information about a transaction, receive a request from the mobile application to view an electronic document associated with the selected vehicle; responsive to the request to view the electronic document, automatically populate the electronic document with the order information; and communicate the electronic document to the mobile application for presentation in the operator interface of a mobile device.

Abstract: Systems and methods for optimizing processing of loan applications are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to analyze training data to build a predictive model. The instructions may also instruct the system to apply the predictive model to a loan application to determine a first probability of an institution funding the loan application if the institution proactively engages a loan-arranging entity of the loan application and a second probability of the institution funding the loan application if the institution reactively engages the loan-arranging entity. The instructions may further instruct the system to reporting the first and second probabilities to a user through a user interface.

Abstract: Systems and methods are disclosed that provide real-time pre-trade risk assessments for multiple parties. In one embodiment, a Programmable Logic Device (PLD) may be embedded within an Automated Trading Systems (ATS) architecture by utilizing the Intel socket G or the PCIe interface to provide pre-trade risk functionality. The system may also provide a method for interacting with the ATS DRAM or L1 cache to provide faster access to orders in ATS memory for PLDs. The system may use the Quick Path Interconnect between an embedded processor and a PLD to transfer memory maps. The system may also add additional libraries to an ATS processor to accelerate the transfer or memory maps to a PLD. The system also may use system interrupts to cancel erroneous orders within an ATS processor from a PLD housed within the same physical architecture.

Abstract: Disclosed are a payment processing apparatus using a virtual currency with an automatic trading function of the virtual currency and an operating method thereof. The present invention may provide a platform which may use a virtual currency as a trading means of goods by presenting a payment processing apparatus for supporting a product purchaser to pay a price of a product to a product seller using a virtual currency and an operating method thereof.

Abstract: A method, system, and program product, the method comprising: (1) aggregated account information FDIC aggregated deposit accounts held in a plurality of banks; (2) client account information: (1) obtaining a client available deposit amount, Di; (2) determining, a bank number tier, Ti, for the client account, from among a plurality of tiers based, at least in part, on a level of funds associated with the respective client or relative to tier ranges, wherein each tier has a number of banks associated therewith or a function for computing the number of banks associated therewith; (3) allocating the client available deposit amount, Di, across a number of banks, NT, equal to the number associated electronically with the tier, Ti; and generating data to transfer funds to or from one or more of the banks.

Abstract: A method and apparatus for acquiring and parsing data into categories responsive to receipt of at least one prospectus of a variable or non-fixed annuity contract for storage in an annuity master database. Once annuity contract data is received in the annuity master database, the data is analyzed and a recommended annuity contract value is forecast using one of trend-line projection and Monte Carlo simulation. A result is a filtering and listing of at least one recommended annuity or, further, a ranking of annuity contracts available from various carriers recommended for an annuity contract purchaser responsive to an annuity contract purchaser profile.

Abstract: Techniques for secure electronic collaboration among parties to provide dynamic cyber insurance are disclosed. A profile describing information technology (IT) infrastructure for an entity is retrieved from an electronic distributed ledger. At least a portion of the profile is provided to a risk evaluator using the electronic distributed ledger. A cyber security risk evaluation associated with the profile is retrieved from the electronic distributed ledger. A request for cyber insurance from the entity is received. Cyber insurance parameters for the entity are determined automatically, using a computer processor, and based on the cyber security risk evaluation. The entity acquires cyber insurance based on the determined cyber insurance parameters.

Abstract: Methods and systems are provided for predicting and forecasting loss metrics for insurance. One or more models are created to generate development curves to predict ultimate losses for aggregations of long-tail losses, such as bodily injury claim payouts based on the first few months of payout data and other relevant variables. The relevant variables include internal data about policyholders and claims, and external data. Historical data, including potential influential variables and a target, are used to train a predictive development model. The variables are pre-processed and aggregated to an accident-month granularity, then feature reduction techniques are applied to determine the variables that exert the most influence on the target. Dimensionality reduction techniques are then applied to the remaining variables. The most influential variables and the variables created by dimension reduction are used as the input features to train the development model.

Abstract: Methods and systems are provided for clustering data for use in training models to predict a loss metric for insurance. The historical data is cleaned and aggregated to a quarterly time granularity and a zip code geographic granularity, and features on which to generate the clusters are selected. Clusters are generated using one or more clustering algorithms, evaluated, and the best set of clusters is selected. Clusters may be grouped together based on cluster characteristics. Each cluster or group of clusters is used to train a development model and a forecast model for the loss metric. The accuracy of the development and forecast models is evaluated, and the clustering process is repeated until the accuracy and stability of the development and forecast models is sufficient. At each iteration, historical data may be removed and/or hyperparameters of the clustering algorithms may be adjusted.

Abstract: Systems and methods are discussed for providing sensor enhanced safety, recovery, and activity evaluation systems. Sensors that monitor user activity and behavior are worn by a user and/or placed in the user environment. Data from the sensors are processed to obtain a safety, recovery, and/or activity evaluation. Based on the evaluation, recommendations or adjustments to the terms of an insurance policy covering the user, the user's employer, or a facility providing health care to the user, are generated, to accurately reflect the risks associated with the user, employer, and/or facility. In embodiments, an alert may be generated when a failure to conform with activity guidelines is detected.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are described for conducting collaborative real-time inspections of insured properties. The system may include several workstations, each operated by a different user with a respective role in processing an insurance claim. The system also may include a server system configured to receive an indication of an insured property to be inspected by users at the workstations using an unmanned aerial vehicle (UAV) configured to collect aerial imagery, provide, substantially in real time during an inspection session, aerial imagery of the insured property to each of the workstations, receive, substantially in real time during the inspection session, information related to the insured property being inspected from the workstations, and generate a database record descriptive of the inspection session. The aerial imagery may be used to verify dimensions of insured homes or estimate home damage resulting from fire, wind, hail, water, or hurricanes.

Abstract: A method, system, and non-transitory computer-readable medium for facilitating insurance policy application processing over a communications network includes a processor configured for accepting input data from a customer, accepting further data from the insurance agent, creating a first data structure, encoding changes to the first data structure based on the input data and the further data, and populating the first data structure, generating ancillary documents and transmitting to the customer, creating a second data structure encoding changes to the second data structure based on the first data structure, and populating the second data structure, and transmitting, the second data structure to a third party to initiate transmission of a health questionnaire to the customer. The system further includes a first memory for storing the first data structure and a second memory for storing the second data structure.

Abstract: Various examples are directed to systems and methods for providing location-specific financial information to a user. A geographic data system may receive a social media data feed and an e-mail feed. The geographic data system may extract theme data from at least one of the social media feed data or the e-mail data and select a first user expense category based at least in part on the theme data. The geographic data system may receive from an application executing at a user computing device location data indicating a first geographic location and generate a location-specific user expense based at least in part on the first user expense category and the location data. The geographic data system may generate a graphical user interface comprising a map including the first geographic location and an indication of the location-specific user expense.

Abstract: A producer may supply amounts xi of a good to a plurality of consumers Ci in a series of transactions and be subject to a mass balancing verification protocol after every K transactions. A producer platform may compute K random shares (r1 through rK) of a random value r, publish blinded amounts ti representing xi+ri to a secure, distributed transaction ledger, and transmit an encrypted ri to consumer Ci using an asymmetric cryptosystem. A consumer platform may receive and decrypt ri (while the consumer Ci actually receives an amount {circumflex over (x)}i of the good from the producer), compute {circumflex over (x)}i+ri and generate a fraud alert signal if it differs from the published ti. The consumer platform may also transmit an encrypted rolling sum value to a next consumer Ci+1. A verifier platform may, after K transactions, execute the mass balance verification protocol to determine a total amount of the good that the producer had collectively supplied to the consumers Ci.

Abstract: In some aspects, computer-implemented methods of identifying patterns in time-series social-media data. In an embodiment, the method includes applying a deep-learning methodology to the time-series social-media data at a plurality of temporal resolutions to identify patterns that may exist at and across ones of the temporal resolutions. A particular deep-learning methodology that can be used is a recursive convolutional Bayesian model (RCBM) utilizing a special convolutional operator. In some aspects, computer-implemented methods of engineering outcome-dynamics of a dynamic system. In an embodiment, the method includes training a generative model using one or more sets of time-series data and solving an optimization problem composed of a likelihood function of the generative model and a score function reflecting a utility of the dynamic system.

Abstract: An online system stores user profiles of users performing past user interactions with content items. The system receives a new content item and extracts a new feature vector from an image in the new content item using image analysis. The system generates, by a machine learning model, a demographic criteria vector based on the new feature vector. The machine learning model is configured based on the user profiles of the users performing the past user interactions with the plurality of content items to receive a feature vector for a content item and generate a demographic criteria vector based on the feature vector. The demographic criteria vector indicates a likelihood of a user with a user profile matching the demographic criteria vector interacting with the content item exceeding a threshold. The system sends the demographic criteria vector to a content provider for targeting the new content item.

Abstract: Embodiments relate to storing farming activity values into geospatial containers associated with a spatial grid system, and generating data analytics therefrom. Pulse data collected by a data collection device and associated with a swath width of a farming implement can be obtained. A pulse polygon can be generated based on the swath width and location information included in the pulse data. The pulse polygon can be translated into at least one grid cell of a plurality of grid cells of a spatial grid system, such that the at least one grid cell geographically corresponds to the pulse polygon. Relevant data points extracted from the pulse data can be stored into a geospatial container generated for each grid cell of the at least one grid cell. Any of the geospatial containers can thus be selectively analyzed, independently or in combination with other geospatial containers, to derive accurate insights therefrom.

Abstract: A physical container (e.g., a battery) may be filled up (charged) or emptied (discharged) with energy commensurate with requirements to post a particular amount of collateral. The disclosure provides computing systems and methods for processing data using a novel combination of wavelet techniques and rolling techniques to more efficiently detect seasonality in particular products (e.g., energy products) to more accurately model and determine collateral/margin requirements. A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of products and may include a processor to process instructions that cause the clearinghouse computing device to perform wavelet decomposition and rolling methods on a historical database of records.

Abstract: A construction site status monitoring device is provided including processing circuitry configured to receive sensor data associated with a construction site from a scout device and generate a site map based on the sensor data for deployment of the construction device.

Abstract: A system and method for making reservations in a hospitality establishment are disclosed. In one embodiment of the system, a database includes multiple the media source files relative to guest room spaces within a room. A server which handles reservations renders a map view of the hospitality establishment based on obtained map data. The map view includes a graphical representation of the room as well as other rooms. In response to the room being selected, the graphical representation of the selected room is annotated with room reservation data and at least one of the media source files of the selected room. The server may execute a reservation for the selected room.

Abstract: The methods and systems disclosed herein attempt to overcome the deficiencies of the conventional methods and systems by providing a prepaid card for reimbursing a healthcare service provider for the cost of providing a patient with a specific healthcare service. A prepaid card can identify a specific healthcare service and can be used by a patient at a healthcare service provider to obtain the healthcare service of administering a controlled substance for which the patient does not have a prescription. The prepaid card can be associated with one or more accounts of third parties who may be financially responsible for reimbursing the healthcare service provider for the cost of providing the controlled substance and/or the specific healthcare service to the patient.

Abstract: In one or more embodiments, one or more processes, methods, and/or systems associated with a first jurisdiction may receive a request for a transaction, that involves private information, from a second computer system in a second jurisdiction. For example, the second jurisdiction may be subject to one or more privacy statutes and/or one or more privacy regulations. For instance, the one or more privacy statutes and/or one or more privacy regulations may apply to entities outside the jurisdiction that collect and/or process data of a resident and/or a citizen of the jurisdiction. In one or more embodiments, the one or more processes, methods, and/or systems may further determine that the second computer system is in the second jurisdiction, provide an instruction to a third computer system, in the second jurisdiction, to execute program instructions that executes the transaction, and receive, from the third computer system, metadata associated with the transaction.

Abstract: An automated method of moving aircraft parts between facilities includes determining a dispatch reliability rate associated with a group of aircraft parts. The dispatch reliability rate indicates a percentage of incoming flights meeting departure demands at a first facility, and the departure demands are based on the group of aircraft parts. The automated method also includes comparing the dispatch reliability rate to a dispatch reliability rate threshold associated with the group of aircraft parts to generate comparison data. The automated method further includes determining to adjust a stock level of at least one aircraft part of the group of aircraft parts at the first facility based on the comparison data. The automated method further includes moving a quantity of the at least one aircraft part between the first facility and a second facility to adjust the stock level of the at least one aircraft part at the first facility.

Abstract: An image capturing apparatus includes a capture part acquiring image data, and a display displaying an image on a display based on the image data. First information acquired includes at least either an azimuth angle or an elevation angle as a direction of the image and at least either an angle of view of the image or angle-of-view related information calculating the angle of view. When a second direction of a second image is included within a range of a first angle of view in a first direction of a first image, the second image is associated with the first image, and the first image is displayed within the display, and display is performed in a state in which the second image to be associated with the first image is overlapped on the first image within the display as the second image or second information indicating the second image.

Abstract: In an illustrative embodiment, watermark decoding reliability is increased, for images of watermarked objects captured at close distances, by reducing influence of pixel noise (e.g., shot noise). In the same or different embodiment, watermark decoding reliability is increased, for images of watermarked objects captured from far distances, by reducing image under-sampling. A particular implementation down-samples input imagery twice—a first time by a fixed factor, preparatory to performing an FFT, and a second time by a variable factor, preparatory to submitting the image for decoding, where the variable factor is determined using results from the FFT. A number of other features and arrangements are also detailed.

Abstract: A parallel processing unit (e.g., a GPU), in some examples, includes a hardware scheduler and hardware arbiter that launch graphics and compute work for simultaneous execution on a SIMD/SIMT processing unit. Each processing unit (e.g., a streaming multiprocessor) of the parallel processing unit operates in a graphics-greedy mode or a compute-greedy mode at respective times. The hardware arbiter, in response to a result of a comparison of at least one monitored performance or utilization metric to a user-configured threshold, can selectively cause the processing unit to run one or more compute work items from a compute queue when the processing unit is operating in the graphics-greedy mode, and cause the processing unit to run one or more graphics work items from a graphics queue when the processing unit is operating in the compute-greedy mode. Associated methods and systems are also described.

Abstract: An electro-optical device includes a pixel circuit 41G, a pixel circuit 41B, a high potential line 47G configured to supply a high potential VDDG to the pixel circuit 41G, a high potential line 47B configured to supply a high potential VDDB to the pixel circuit 41B, and a low potential line 46 configured to supply a first low potential VSS1 to the pixel circuit 41G and the pixel circuit 41B. The pixel circuit 41G includes a light-emitting element 20G configured to display G, the pixel circuit 41B includes a light-emitting element 20B configured to display B, and the high potential VDDG and the high potential VDDB are mutually independent.