Abstract: A computer-implemented system and method of analyzing historical business data and business objectives for real estate solution prediction is provided. The method includes receiving a user dataset associated with a business entity by a server computing device. The server may determine a set of forecasted headcounts at different points of future time based on a historical headcount, generate a plurality of scenarios associated with the business entity based on the forecasted headcount and the commercial objective dataset, and construct option trees with respective real estate solutions corresponding to respective scenarios. A neural network system may be configured to perform stress tests against respective scenarios to evaluate respective real estate solutions and determine respective costs and actions associated with respective real estate solutions.

Abstract: Embodiments of the present disclosure provide a method that may include defining an object model containing a structural representation of events and artefacts through which contracts are created, changed, and brought to an end. The method may include accessing a machine learning classifier comprising a plurality of rule sets. The method may include applying the plurality of rule sets to one or more words of each corresponding contract document. The method may include linking identified one or more core attributes and one or more words of each corresponding contract document to an applicable object of the object model, determining prevailing terms of each corresponding contract document, and evaluating contract data variables and assigning a contract data risk value to one or more of contract data values. The method may include alerting a user when a contract risk exceeds a threshold value.

Abstract: Various implementations manage an electronic asset by creating a representation of an electronic asset and its variants. This may be accomplished by identifying variants of an electronic asset, identifying a portion of a feature space associated with the asset and variants, and providing a representation corresponding to that portion of feature space. A fixed function classifier may be used to determine the points in the feature space for the electronic asset and its variants. The set of points produced for an asset and its variants using such a fixed function classifier will be near one another in feature space. Moreover, the area around such points will also represent points for other similar variations of the asset and thus, the portion of the feature space around the points can be considered the area of ownership for the electronic asset, e.g., it defines a boundary of what the creator is asserting is his or her creation.

Abstract: Systems and methods for intellectual property (IP) asset protection are disclosed. For example, by analyzing characteristic information associated with a user, along with feedback from one or more potential insurers, the system may determine various terms of an insurance policy for protecting the user against claims of IP infringement. The policy may provide for financial reimbursement for costs incurred while taking active measures to mitigate losses and/or defend against such claims. In addition, the system may analyze the characteristic information to identify various users having a low exposure of an infringement claim being asserted. The identified users may be actively targeted to acquire an IP protection policy.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable enabling online access to encounter data across multiple disparate sources. The method includes providing a synchronizer application configured to access data of a practice group server, receiving, by an aggregator server, a start time and a duration of a healthcare appointment, and determining a completion time of the healthcare appointment. Based on the completion time, the aggregator server transmits a request for encounter data for the healthcare appointment to the synchronizer application and then receives and stores the encounter data in an aggregator database. The aggregator server generates an electronic alert addressed to a computing device accessible by the patient and transmits the alert to the computing device. The aggregator server receives an electronic response to the alert and provides an interactive user interface to the computing device configured to display the encounter data on the computing device.

Abstract: Techniques are provided for image-based search and prediction for physical defect investigations. One method comprises obtaining, for multiple investigations of physical defects associated with corresponding devices, (i) images of the physical defects, (ii) descriptions of the physical defects, and (iii) descriptions of a manual classification of the physical defects; storing the images for each investigation in an image repository, wherein each stored image comprises a set of tags based on the corresponding description of the physical defect and the corresponding description of the manual classification of the physical defect; and training an image classification model using the stored images, each with the corresponding description of the physical defect and the corresponding manual classification of the physical defect. A given investigation of a physical defect can be resolved using the image repository and/or the trained image classification model.

Abstract: A facility for estimating a home improvement rate of return for a geographic area is described. The facility accesses information about homes in the geographic area including sale prices and data describing home improvements performed on the homes, such that some of the sale prices are associated with homes having a home improvement of a particular type. The facility obtains automatic valuations for the homes based on the homes' attribute values, and calculates the differences between the automatic valuations and the sale prices. The facility analyzes the differences and the home improvement data and, based on the analysis, estimates a rate of return of the particular type of home improvement.

Abstract: Certain aspects of the technology disclosed herein involve managing a connection between users of a first profile class and users of a second profile class based on proximity. Location data from a first mobile device is used to determine that a first user of a first class is within a first proximity of a property. The property has at least one parameter identified in a user profile of the first user of the first class. Location data from a second mobile device is used to determine that a second user of a second class is within a second proximity of the property. A notification is transmitted to the first mobile device identifying the property, and at least the second user of the second class. A message is received from the first mobile device indicating selection of the second user. The first mobile device connects with the second mobile device.

Abstract: The present disclosure is directed towards systems and methods for assisting with legal research and for aiding in the discovery of information and documents relevant to a user's research focus. The inventive systems receive identifications of relevant documents explicitly or implicitly from a user's research session and, based on issues relevant to those documents and other connections to those documents, recommends similar documents to the user for their consideration. Recommendations may be ranked and filtered and the recommendations and their ranking may be based at least in part on aggregated research session information from previous research sessions.

Abstract: Systems and methods for patent portfolio management and generation of analytics are described. A system comprises, for example, one or more modules. A first module is configured to combine data received from an official government source and from a docketing system. The data received may pertain to one or more assets of a patent portfolio. A second module is configured to generate a metric of the patent portfolio based on the combined data. The metric may measure a characteristic of the patent portfolio. A third module is configured to receive a request from a client device to display the metric. A fourth module is configured to, in response to the request to display the metric, display the metric in a user interface that includes one or more filtering elements that are selectable to request a filtering of the displayed metric.

Abstract: The present disclosure is directed towards systems and methods for assisting with legal research and for aiding in the discovery of information and documents relevant to a user's research focus or input text. The inventive systems receive identifications of relevant documents explicitly or implicitly from a user's research session or input text and, based on issues relevant to those documents, texts and other connections to those documents and texts, recommends similar or helpful documents to the user for their consideration. Recommendations may be ranked and filtered.

Abstract: User activity including both athletic activity (e.g., running, walking, etc.) and non-athletic activity (shopping, reading articles, etc.) may be monitored and tracked by an athletic monitoring and tracking device and service. The user activity may be used to award a user with an amount of virtual currency to encourage the user to continue various activities. In one example, users may use the virtual currency to purchase or otherwise acquire various products, services, discounts and the like. A user may track an amount currency earned and/or needed relative to an amount required to acquire a desired product or service. Additionally or alternatively, a visual appearance of a user device (e.g., a watch or athletic activity band) may change based on the user's activity level, an amount of virtual currency earned and the like.

Abstract: A method, apparatus, and computer-readable medium for artifact attribution is provided. The method can be performed by a generative system, or generative AI. The method can include storing a proprietary artifact created by a creator and terms of use for usage of the proprietary artifact defined by the creator. The method can also include generating a new artifact based on the proprietary artifact and the user's rights to the proprietary artifact. The method can also include determining an attribution for the new artifact.

Abstract: Systems and methods for model evaluation. A model is evaluated by performing a decomposition process for a model output, relative to a baseline input data set.

Abstract: User activity including both athletic activity (e.g., running, walking, etc.) and non-athletic activity (shopping, reading articles, etc.) may be monitored and tracked by an athletic monitoring and tracking device and service. The user activity may be used to award a user with an amount of virtual currency to encourage the user to continue various activities. In one example, users may use the virtual currency to purchase or otherwise acquire various products, services, discounts and the like. A user may track an amount currency earned and/or needed relative to an amount required to acquire a desired product or service. Additionally or alternatively, a visual appearance of a user device (e.g., a watch or athletic activity band) may change based on the user's activity level, an amount of virtual currency earned and the like.

Abstract: Disclosed are a method and device for performing credit evaluation on a work publisher on the basis of a blockchain. The method and device can perform originality analysis on a target work published by a target service node to the blockchain so as to obtain an originality representation value corresponding to the target work. If the originality representation value is low, a copyright credit score corresponding to the target service node is deducted. The deduction is subjected to consensus verification performed by a plurality of service nodes and can only be made public in the blockchain after the consensus verification is successful. The blockchain can publicize a copyright credit score deduction record corresponding to the target service node, based on which the copyright credit score corresponding to the target service node can be determined. The lower the copyright credit score, the poorer the credit level of the target service node.

Abstract: The present disclosure provides a method of creating and managing residential net leases in which a net lease network determines the parameters of a residential net lease for properties located in certain regions, cities, or towns. The net lease network autopopulates approved terms to generate a residential net lease agreement document. The net lease network record, in a reserve database, accounting for amounts remunerated to respective owners and collected from respective tenants per a rent schedule and accountings for amounts remunerated to investors based on determined profit margins over term of lease.

Abstract: Disclosed embodiments provide systems and methods for hotels and rental property monitoring and protection. Cameras are oriented in non-private areas near entrances and exits of a property to be monitored. The cameras supply video feeds to a multi-layer analysis system powered by machine learning. The analysis system utilizes machine learning to perform identification of objects including people, animals, and/or other objects, identify moving track and patterns and recognize various behaviors based. Entrances and exits of rental properties are monitored to assess a current occupancy and guest and team behavior. In response to detecting a current occupancy exceeding a specific threshold or any other breach in the house rules and policies, disclosed embodiments can perform various actions including, but not limited to, notifying guests, notifying property managers, and/or other actions as appropriate.

Abstract: In some examples, a computer system may receive sensor data and failure data for equipment. The system may determine, for the equipment, a plurality of time between failure (TBF) durations that are longer than other TBF durations for the equipment. The system may determine, from the sensor data corresponding to operation of the equipment during the plurality of TBF durations, a plurality of measured sensor values for the equipment. Additionally, the system may determine a subset of the measured sensor values corresponding to a largest number of the TBF durations of the plurality of TBF durations. The system may further determine at least one operating parameter value for the equipment based on the subset of the measured sensor values. The system may send a control signal for operating the equipment based on the operating parameter value and/or a communication based on the operating parameter value.

Abstract: A computer-implemented system and method of analyzing historical business data and business objectives for real estate solution prediction is provided. The method includes receiving a user dataset associated with a business entity by a server computing device. The server may determine a set of forecasted headcounts at different points of future time based on a historical headcount, generate a plurality of scenarios associated with the business entity based on the forecasted headcount and the commercial objective dataset, and construct option trees with respective real estate solutions corresponding to respective scenarios. A neural network system may be configured to perform stress tests against respective scenarios to evaluate respective real estate solutions and determine respective costs and actions associated with respective real estate solutions.