A system includes a network interface, a processing system, and a memory system. The memory system stores instructions that when executed by the processing system result in receiving a request and request data associated with a user from a web server and analyzing the request data to identify a primary offer associated with the request. A look-alike model is accessed to determine at least one secondary offer based on one or more of: the request, the request data, and the primary offer. The primary offer and the at least one secondary offer are provided for presentation to the user through a user interface.
G06Q 30/0217 - Remises ou incitations, p.ex. coupons ou rabais impliquant une contribution sur des produits ou des services en échange d’une incitation ou d’une récompense
Systems and methods for pattern-based multi-stage deterministic data classification that may reduce processing and memory overhead while providing more accurate data classifications.
A system includes a multi-user interface and a collaborative drawing tool. The collaborative drawing tool can receive a first set of voice-based drawing commands from a first user, perform a first speech-to-text conversion to transform the first set of voice-based drawing commands into a first set of drawing commands, and render a first drawing update on the multi-user interface based on the first set of drawing commands. The collaborative drawing tool can receive a second set of voice-based drawing commands from a second user, perform a second speech-to-text conversion to transform the second set of voice-based drawing commands into a second set of drawing commands, render a second drawing update on the multi-user interface based on the second set of drawing commands, and save, to a storage system, a drawing output of the multi-user interface resulting from the first drawing update and the second drawing update.
G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p.ex. dialogue homme-machine
G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
G06T 11/80 - Création ou modification d'une image dessinée ou peinte à la main en utilisant un dispositif manuel d'entrée, p.ex. une souris, un crayon lumineux, des touches de direction sur le clavier
A method includes accessing a first dataset including aerial imagery data and infrared data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of models is applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building, and a vegetation detection model can be applied to identify one or more areas of vegetation. An estimated distance can be determined between each of the areas of vegetation and the building as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
G06F 16/29 - Bases de données d’informations géographiques
G06F 16/587 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des informations géographiques ou spatiales, p.ex. la localisation
Systems, apparatus, methods, and articles of manufacture for blockchain-based cyber threat management, such as the generation and management of cyber risk insurance policies with automatic cyber threat assessment, remediation, and/or claim payment.
An Artificial Intelligence (AI) roof deterioration analysis system that tracks changes in roofs over time by evaluating a series of features in high-resolution images.
G06V 10/40 - Extraction de caractéristiques d’images ou de vidéos
G06F 18/2113 - Sélection du sous-ensemble de caractéristiques le plus significatif en classant ou en filtrant l'ensemble des caractéristiques, p.ex. en utilisant une mesure de la variance ou de la corrélation croisée des caractéristiques
A system includes a user interface to interpret object models and display the object models in a graphical format, a database service to access a database that identifies code associated with one or more projects, a translator service configured to parse the code and generate object models associated with a selected project, and an analysis tool. The analysis tool is executable by at least one processing device and results in: identifying one or more relationships between the object models of the selected project, outputting one or more visual interfaces on the user interface to document the one or more relationships in a graphical format, displaying properties of a selected object model on the user interface, detecting a change including an update received through the user interface to the properties, translating the change into an update of the selected object model, and storing the update of the selected object model.
G10L 25/63 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour estimer un état émotionnel
A method includes providing a data set to an artificial intelligence filter trained to detect sensitive data based on sensitive data rules and detect one or more sensitive data values in the data set. The one or more sensitive data values are replaced with one or more substitute values in the data set, and the data set is associated with a key value. The data set is sent with the one or more substitute values to a third-party service to obtain a result. The key value associated with the result is identified. The one or more sensitive data values associated with the one or more substitute values are determined based on the key value. The one or more substitute values are replaced with the one or more sensitive data values in combination with a portion of the result to create a modified result.
Systems and methods for automatically identifying and ascertaining an estimated amount of damage at a location by utilizing one or more autonomous vehicles, e.g., “drone” devices, to autonomously capture data of the location and utilizing Artificial Intelligence (AI) logic modules to analyze the captured data and construct a 3-D model of the location.
G05D 1/10 - Commande de la position ou du cap dans les trois dimensions simultanément
G05D 1/00 - Commande de la position, du cap, de l'altitude ou de l'attitude des véhicules terrestres, aquatiques, aériens ou spatiaux, p.ex. pilote automatique
B64C 39/02 - Aéronefs non prévus ailleurs caractérisés par un emploi spécial
H04W 4/40 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p.ex. communication véhicule-piétons
11.
SYSTEMS AND METHODS FOR ASYNCHRONOUS API-DRIVEN EXTERNAL APPLICATION SERVICES FOR A BLOCKCHAIN
Systems and methods for asynchronous API-driven external application services for blockchain are provided. The blockchain may store profile data that permits asynchronous communications and data sharing among a plurality of trusted users, and an application server layer may act as a gateway to a blockchain system to selectively provide limited access to external application services to operate upon the blockchain data.
H04L 9/06 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p.ex. système DES
G06Q 10/063 - Recherche, analyse ou gestion opérationnelles
H04L 9/32 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
H04L 67/562 - Courtage des services de mandataires
12.
SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE (AI) ERGONOMIC POSITIONING
An Artificial Intelligence (AI) ergonomic assessment and positioning system that analyzes remote workspace data, identifies objects that are improperly positioned, oriented, and/or have undesirable settings, and automatically adjusts, moves, sets, and/or provides automatic guidance for the adjustment, movement, and/or setting of target objects in the remote workspace.
Systems, apparatus, methods, and articles of manufacture provide for generation, execution, and visualization of data queries (e.g., SQL statements) and their results, based on natural language input from a user. In one example implementation, a dashboard system provides a voting lounge and personalized and crowdsourced dashboards.
Systems, apparatus, methods, and articles of manufacture for management, verification, and tracking of cargo, such as by providing digital cargo handler identification authentication.
G08B 13/194 - Déclenchement influencé par la chaleur, la lumière, ou les radiations de longueur d'onde plus courte; Déclenchement par introduction de sources de chaleur, de lumière, ou de radiations de longueur d'onde plus courte utilisant des systèmes détecteurs de radiations passifs utilisant des systèmes de balayage et de comparaison d'image
G08B 3/10 - Systèmes de signalisation audible; Systèmes d'appel sonore de personnes utilisant une transmission électromagnétique
G06V 20/52 - Activités de surveillance ou de suivi, p.ex. pour la reconnaissance d’objets suspects
A method includes receiving a widget insertion request associated with an email message and customizing one or more options of the widget based on one or more user selections. The widget is inserted into a body of the email message. The widget provides one or more interactive services to a recipient of the email message based on the one or more options. The email message is sent with the widget to the recipient to allow the recipient to interact with the widget upon receiving the email message.
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p.ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p.ex. des réponses automatiques ou des messages générés par un agent conversationnel
A method includes receiving a request and request data associated with a user from a web server and analyzing the request data to identify one or more data gaps associated with the request. One or more third-party services are called to fill at least a portion of the one or more data gaps. A question set is prepared based on determining that the one or more data gaps remain at least partially unfilled. The question set is selected by a machine-learning component trained to adapt a sequence and content of the question set over a plurality of interactions with a plurality of users. The question set is transmitted to the web server for presentation to the user. Data exchanges can be authenticated using tokens.
G06Q 30/0217 - Remises ou incitations, p.ex. coupons ou rabais impliquant une contribution sur des produits ou des services en échange d’une incitation ou d’une récompense
An Artificial Intelligence (AI) three-dimensional modeling system that analyzes and segments imagery of a room, generates a three-dimensional model of the room from the segmented imagery, identifies objects within the room, and conducts an assessment of the room based on the identified objects.
G06F 18/2413 - Techniques de classification relatives au modèle de classification, p.ex. approches paramétriques ou non paramétriques basées sur les distances des motifs d'entraînement ou de référence
H04N 23/698 - Commande des caméras ou des modules de caméras pour obtenir un champ de vision élargi, p. ex. pour la capture d'images panoramiques
18.
SYSTEMS AND METHODS FOR MULTIVARIATE ARTIFICIAL INTELLIGENCE (AI) SMART CARDS
Systems and methods for multivariate Artificial Intelligence (AI) smart cards are provided. An AI smart card may include, for example, pre-stored policy data that may be utilized as a portion of multivariate input by a suite of AI modules to formulate and analyze a claim of loss.
G06Q 30/018 - Certification d’entreprises ou de produits
G06Q 30/016 - Fourniture d’une assistance aux clients, p. ex pour assister un client dans un lieu commercial ou par un service d’assistance après-vente
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G05B 19/042 - Commande à programme autre que la commande numérique, c.à d. dans des automatismes à séquence ou dans des automates à logique utilisant des processeurs numériques
G10L 17/06 - Techniques de prise de décision; Stratégies d’alignement de motifs
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p.ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p.ex. des réponses automatiques ou des messages générés par un agent conversationnel
H04W 4/80 - Services utilisant la communication de courte portée, p.ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
H04W 4/02 - Services utilisant des informations de localisation
G10L 17/00 - Identification ou vérification du locuteur
H04M 1/72403 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles avec des moyens de soutien local des applications accroissant la fonctionnalité
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
19.
Systems and methods for systemic resource utilization analysis and management
Systems, methods, and articles of manufacture provide for systemic resource utilization analysis and management, such as employing a single-point sensor to detect or identify resource leakage at one or more other locations in a structure.
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
G08B 25/08 - Systèmes d'alarme dans lesquels l'emplacement du lieu où existe la condition déclenchant l'alarme est signalé à une station centrale, p.ex. systèmes télégraphiques d'incendie ou de police caractérisés par le moyen de transmission utilisant les lignes de communication
20.
AUTOMATED DATA MODELING FOR ABBREVIATIONS UTILIZING FUZZY REASONING LOGIC
A method includes analyzing an enterprise data warehouse to determine name attribute scores based on occurrences of enterprise terms and abbreviations in the enterprise data warehouse. The method also includes generating a scoring summary of phrases, applying fuzzy reasoning logic to identify one or more relationship patterns and weights for the phrases including at least one shared word to produce training data for a data model associated with the enterprise data warehouse, and updating the data model with a new abbreviated field name associated with a new field name based on identifying a closest match of the new field name with the training data.
Systems, apparatus, methods, and articles of manufacture provide for evaluation of and prediction for data queries (e.g., SQL statements). In one example implementation, a controller device trains a data model for classifying input SQL queries. The controller classifies each input SQL query by testing it against the data model, without requiring actual execution of the SQL query.
G06F 16/215 - Amélioration de la qualité des données; Nettoyage des données, p.ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
A method includes collecting code development data associated with development of code files on a per user basis. A predicted code execution performance score is determined based on weighting one or more developer attributes captured in the code development data on the per user basis, the predicted code execution performance score indicative of a predicted likelihood of a code quality issue, where the one or more developer attributes are based at least in part on personnel data including a level of developer experience and a history of observed development activities of an associated developer from review data. One or more resources of one or more code execution servers associated with execution of selected files are predictively allocated based on the predicted code execution performance score. One or more code execution metrics are captured associated with executing selected files on the one or more code execution servers.
An Artificial Intelligence (AI) roof deterioration analysis system that tracks changes in roofs over time by evaluating a series of features in high-resolution images.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06V 10/40 - Extraction de caractéristiques d’images ou de vidéos
G06F 18/2113 - Sélection du sous-ensemble de caractéristiques le plus significatif en classant ou en filtrant l'ensemble des caractéristiques, p.ex. en utilisant une mesure de la variance ou de la corrélation croisée des caractéristiques
A method includes identifying a cloud application in a cloud environment as a non-disposable application and monitoring a plurality of instances of the non-disposable application running in the cloud environment. The method also includes determining that a number of the instances of the non-disposable application should be modified based on one or more demand predictions by an artificial intelligence scaler, adjusting the number of the instances of the non-disposable application running in the cloud environment based on the one or more demand predictions, and modifying an allocation of one or more resources of the cloud environment associated with adjusting the number of the instances of the non-disposable application.
Systems and methods for automated accident analysis such as automatic multi-device accident detection and verification, automated multi-device information capture, and automated geospatial and geo-relational digital scene recreation.
An Artificial Intelligence (AI) ergonomic assessment and positioning system that analyzes remote workspace data, identifies objects that are improperly positioned, oriented, and/or have undesirable settings, and automatically adjusts, moves, sets, and/or provides automatic guidance for the adjustment, movement, and/or setting of target objects in the remote workspace.
A system includes a network interface configured to communicate with a plurality of components across a network. The system also includes a memory system configured to store a plurality of instructions to implement a monitoring system and a processing system configured to communicate with the network interface. The processing device is further configured to execute the instructions to result in accessing one or more monitoring rules that define monitoring criteria associated with the components and monitoring the components to determine whether the monitoring criteria are met. The processing device can also trigger a notification to one or more user systems based on determining that at least one of the monitoring criteria has been met and provide a customization interface to allow user customization of the one or more monitoring rules.
Systems and methods for automated test data microservices are provided. Test versions of software (such as an Application Programming Interface (API)) may be configured to automatically generate test data and to call a microservice to manage the test data. The microservice may automatically add and remove the test data from an operational data store to facilitate the testing process and to automatically perform setup and teardown stages of the testing process.
An Artificial Intelligence (AI) roof deterioration analysis system that tracks changes in roofs over time by evaluating a series of features in high-resolution images.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
Systems, apparatus, interfaces, methods, and articles of manufacture that provide for Artificial Intelligence (AI) User Interface (UI) and/or Graphical User Interface (GUI) generation.
G06F 18/21 - Conception ou mise en place de systèmes ou de techniques; Extraction de caractéristiques dans l'espace des caractéristiques; Séparation aveugle de sources
A system includes a processing device and memory device configured to receive a widget insertion request associated with an email message. The processing device is further configured to customize one or more options of the widget based on one or more user selections. The processing device can also insert the widget into a body of the email message. The widget provides one or more interactive services to a recipient of the email message based on the one or more options. The processing device is configured to send the email message with the widget to the recipient to allow the recipient to interact with the widget upon receiving the email message.
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p.ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p.ex. des réponses automatiques ou des messages générés par un agent conversationnel
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p.ex. des menus
32.
Systems and methods for asynchronous API-driven external application services for a blockchain
Systems and methods for asynchronous API-driven external application services for blockchain are provided. The blockchain may store profile data that permits asynchronous communications and data sharing among a plurality of trusted users, and an application server layer may act as a gateway to a blockchain system to selectively provide limited access to external application services to operate upon the blockchain data.
H04L 9/06 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p.ex. système DES
G06Q 10/063 - Recherche, analyse ou gestion opérationnelles
H04L 9/32 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
H04L 67/562 - Courtage des services de mandataires
H04L 9/00 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité
A system includes a development system and a digital assistance system. The development system includes a network interface configured to communicate with a plurality of communication channels, a processing system configured to interface with a project management subsystem, a scheduling subsystem, and the network interface, and an application programming interface configured to receive a command sequence for the project management subsystem and the scheduling subsystem. The digital assistance system includes a natural language processing engine configured to interface with a voice-enabled communication session through one of the communication channels. The digital assistance system also includes a command generator configured to generate the command sequence based on one or more requested tasks detected through the voice-enabled communication session and provide the command sequence to the application programming interface to execute the one or more requested tasks.
An Artificial Intelligence (AI) three-dimensional modeling system that analyzes and segments imagery of a room, generates a three-dimensional model of the room from the segmented imagery, identifies objects within the room, and conducts an assessment of the room based on the identified objects.
Systems and methods for automated test data microservices are provided. Test versions of software (such as an Application Programming Interface (API)) may be configured to automatically generate test data and to call a microservice to manage the test data. The microservice may automatically add and remove the test data from an operational data store to facilitate the testing process and to automatically perform setup and teardown stages of the testing process.
A system includes a processing device and memory device configured to access an email message received at a mail server, extract a plurality of correspondence data from the email message, and apply a correspondence classifier to the correspondence data to determine a request type of the email message. The processing device is further configured to extract a plurality of entities from the email message in a free-form format, where extracting is performed based on determining that the request type is supported. The processing device can also determine a confidence level of the extracting of the entities, perform a lookup of the entities in one or more records of a database based on determining that the confidence level is above a confidence threshold, and generate a new processing request including prepopulated data fields populated with the entities based on identifying a match in the one or more records of the database.
G06F 16/907 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
A system includes a network interface configured to access an enterprise data warehouse and an enterprise abbreviation list that maps enterprise terms to abbreviations. A processing device can communicate with the network interface and a memory device that stores instructions to analyze the enterprise data warehouse to determine name attribute scores based on occurrences of the enterprise terms and the abbreviations in the enterprise data warehouse. Execution of the instructions can also generate a scoring summary of phrases, apply fuzzy reasoning logic to identify one or more relationship patterns and weights for the phrases including at least one shared word to produce training data for a data model associated with the enterprise data warehouse, and update the data model with a new abbreviated field name associated with a new field name based on identifying a closest match of the new field name with the training data.
Methods, systems, and software are disclosed for connecting insurance company customers contacting the insurance company to independent insurance agents.
H04M 3/523 - Dispositions centralisées de réponse aux appels demandant l'intervention d'un opérateur avec répartition ou mise en file d'attente des appels
G06Q 30/02 - Marketing; Estimation ou détermination des prix; Collecte de fonds
Systems, apparatus, methods, and articles of manufacture for Artificial Intelligence (AI) theft prevention and recovery, such as by utilizing image object analysis to identify and report pilfering-type cargo or materials theft events.
G08B 13/194 - Déclenchement influencé par la chaleur, la lumière, ou les radiations de longueur d'onde plus courte; Déclenchement par introduction de sources de chaleur, de lumière, ou de radiations de longueur d'onde plus courte utilisant des systèmes détecteurs de radiations passifs utilisant des systèmes de balayage et de comparaison d'image
G08B 3/10 - Systèmes de signalisation audible; Systèmes d'appel sonore de personnes utilisant une transmission électromagnétique
G06V 20/52 - Activités de surveillance ou de suivi, p.ex. pour la reconnaissance d’objets suspects
A system includes a processing device and memory device storing instructions that result in accessing a first dataset including aerial imagery data and infrared data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of models is applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building, and a vegetation detection model can be applied to identify one or more areas of vegetation. An estimated distance can be determined between each of the areas of vegetation and the building as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
G06F 16/29 - Bases de données d’informations géographiques
G06F 16/587 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des informations géographiques ou spatiales, p.ex. la localisation
Systems, methods, and articles of manufacture provide for systemic resource utilization analysis and management, such as employing a single-point sensor to detect or identify resource leakage at one or more other locations in a structure.
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
G08B 25/08 - Systèmes d'alarme dans lesquels l'emplacement du lieu où existe la condition déclenchant l'alarme est signalé à une station centrale, p.ex. systèmes télégraphiques d'incendie ou de police caractérisés par le moyen de transmission utilisant les lignes de communication
A system includes a network interface, a processing system, and a memory system. The memory system stores instructions that when executed by the processing system result in receiving a request and request data associated with a user from a web server and analyzing the request data to identify one or more data gaps associated with the request. One or more third-party services are called to fill at least a portion of the one or more data gaps. A question set is prepared based on determining that the one or more data gaps remain at least partially unfilled. The question set is selected by a machine-learning component trained to adapt a sequence and content of the question set over a plurality of interactions with a plurality of users. The question set is transmitted to the web server for presentation to the user. Data exchanges can be authenticated using tokens.
G06Q 30/0217 - Remises ou incitations, p.ex. coupons ou rabais impliquant une contribution sur des produits ou des services en échange d’une incitation ou d’une récompense
A building detection model is applied to identify a footprint of a building based on a first dataset. The building characterization model is applied to identify one or more derived characteristics of the building based on the footprint. A building area is determined based on the footprint and at least one of the one or more derived characteristics of the building. A record is created including an indicator of a geographic area, the building area, and the one or more derived characteristics of the building. A processing request is generated based on the record. One or more derived characteristics of the building are compared with one or more corresponding values of property data from a third-party data source to identify a mismatch. A data accuracy verification request is output based on the mismatch.
G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
G06F 18/22 - Critères d'appariement, p.ex. mesures de proximité
G06F 18/214 - Génération de motifs d'entraînement; Procédés de Bootstrapping, p.ex. ”bagging” ou ”boosting”
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p.ex. des objets vidéo
G06V 10/774 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p.ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]; Séparation aveugle de source méthodes de Bootstrap, p.ex. "bagging” ou “boosting”
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p.ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersections; Analyse de connectivité, p.ex. de composantes connectées
Systems and methods for asynchronous API-driven external application services for blockchain are provided. The blockchain may store profile data that permits asynchronous communications and data sharing among a plurality of trusted users, and an application server layer may act as a gateway to a blockchain system to selectively provide limited access to external application services to operate upon the blockchain data.
H04L 9/06 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p.ex. système DES
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projets; Planification d’entreprise ou d’organisation; Modélisation d’entreprise ou d’organisation
H04L 9/32 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
H04L 67/562 - Courtage des services de mandataires
H04L 9/00 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité
Systems and methods for multivariate Artificial Intelligence (AI) smart cards are provided. An AI smart card may include, for example, pre-stored policy data that may be utilized as a portion of multivariate input by a suite of AI modules to formulate and analyze a claim of loss.
G06Q 30/018 - Certification d’entreprises ou de produits
G06Q 30/016 - Fourniture d’une assistance aux clients, p. ex pour assister un client dans un lieu commercial ou par un service d’assistance après-vente
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p.ex. lecture de la lumière blanche réfléchie
G05B 19/042 - Commande à programme autre que la commande numérique, c.à d. dans des automatismes à séquence ou dans des automates à logique utilisant des processeurs numériques
G10L 17/06 - Techniques de prise de décision; Stratégies d’alignement de motifs
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p.ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p.ex. des réponses automatiques ou des messages générés par un agent conversationnel
H04W 4/80 - Services utilisant la communication de courte portée, p.ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
H04W 4/02 - Services utilisant des informations de localisation
G10L 17/00 - Identification ou vérification du locuteur
H04M 1/72403 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles avec des moyens de soutien local des applications accroissant la fonctionnalité
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
46.
Systems and methods for artificial intelligence (AI) driving analysis and incentives
Systems, apparatus, methods, and articles of manufacture for Artificial Intelligence (AI) driving analysis and incentives, by utilizing on-board image object analysis to classify driving events and provide driving-based awards.
G06V 20/58 - Reconnaissance d’objets en mouvement ou d’obstacles, p.ex. véhicules ou piétons; Reconnaissance des objets de la circulation, p.ex. signalisation routière, feux de signalisation ou routes
G06N 5/04 - Modèles d’inférence ou de raisonnement
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
G06T 1/20 - Architectures de processeurs; Configuration de processeurs p.ex. configuration en pipeline
Systems and methods for automatically identifying and ascertaining an estimated amount of damage at a location by utilizing one or more autonomous vehicles, e.g., “drone” devices, to autonomously capture data of the location and utilizing Artificial Intelligence (AI) logic modules to analyze the captured data and construct a 3-D model of the location.
G05D 1/10 - Commande de la position ou du cap dans les trois dimensions simultanément
G05D 1/00 - Commande de la position, du cap, de l'altitude ou de l'attitude des véhicules terrestres, aquatiques, aériens ou spatiaux, p.ex. pilote automatique
B64C 39/02 - Aéronefs non prévus ailleurs caractérisés par un emploi spécial
H04W 4/40 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p.ex. communication véhicule-piétons
B64U 101/30 - Véhicules aériens sans pilote spécialement adaptés à des utilisations ou à des applications spécifiques à l’imagerie, à la photographie ou à la vidéographie
A system includes a processing device and memory device to provide a data set to an artificial intelligence filter trained to detect sensitive data based on sensitive data rules and detect one or more sensitive data values in the data set. The one or more sensitive data values are replaced with one or more substitute values in the data set, and the data set is associated with a key value. The data set is sent with the one or more substitute values to a third-party service to obtain a result. The key value associated with the result is identified. The one or more sensitive data values associated with the one or more substitute values are determined based on the key value. The one or more substitute values are replaced with the one or more sensitive data values in combination with a portion of the result to create a modified result.
Systems, apparatus, interfaces, methods, and articles of manufacture that provide for acquisition, management, and/or utilization of surface segment data.
A method includes accessing a first dataset including aerial imagery data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of artificial-intelligence (AI) models are applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building footprint, and a tree detection model can be applied to identify one or more trees. An estimated distance can be determined between each of the trees and a nearest portion of the building footprint as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
G06F 16/29 - Bases de données d’informations géographiques
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06F 16/587 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des informations géographiques ou spatiales, p.ex. la localisation
51.
Systems and methods for artificial intelligence (AI) theft prevention and recovery
Systems, apparatus, methods, and articles of manufacture for Artificial Intelligence (AI) theft prevention and recovery, such as by utilizing image object analysis to identify and report pilfering-type cargo or materials theft events.
G08B 13/194 - Déclenchement influencé par la chaleur, la lumière, ou les radiations de longueur d'onde plus courte; Déclenchement par introduction de sources de chaleur, de lumière, ou de radiations de longueur d'onde plus courte utilisant des systèmes détecteurs de radiations passifs utilisant des systèmes de balayage et de comparaison d'image
G08B 3/10 - Systèmes de signalisation audible; Systèmes d'appel sonore de personnes utilisant une transmission électromagnétique
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
52.
Systems and methods for artificial intelligence (AI) driving analysis and incentives
Systems, apparatus, methods, and articles of manufacture for Artificial Intelligence (AI) driving analysis and incentives, by utilizing on-board image object analysis to classify driving events and provide driving-based awards.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06N 5/04 - Modèles d’inférence ou de raisonnement
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
G06T 1/20 - Architectures de processeurs; Configuration de processeurs p.ex. configuration en pipeline
A system includes a processing system and a memory system. The memory system stores instructions for identifying a cloud application in a cloud environment as a non-disposable application and monitoring a plurality of instances of the non-disposable application running in the cloud environment. The instructions when executed by the processing system further result in determining that a number of the instances of the non-disposable application should be modified based on one or more demand predictions by an artificial intelligence scaler, adjusting the number of the instances of the non-disposable application running in the cloud environment based on the one or more demand predictions, and modifying an allocation of one or more resources of the cloud environment associated with adjusting the number of the instances of the non-disposable application.
Systems, apparatus, methods, and articles of manufacture provide for evaluation of and prediction for data queries (e.g., SQL statements). In one example implementation, a controller device trains a data model for classifying input SQL queries. The controller classifies each input SQL query by testing it against the data model, without requiring actual execution of the SQL query.
G06F 16/215 - Amélioration de la qualité des données; Nettoyage des données, p.ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
Systems, apparatus, interfaces, methods, and articles of manufacture that provide for AI damage triage and/or AI resource allocation, routing, and/or scheduling.
G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
G06N 5/04 - Modèles d’inférence ou de raisonnement
G06Q 30/02 - Marketing; Estimation ou détermination des prix; Collecte de fonds
G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projets; Planification d’entreprise ou d’organisation; Modélisation d’entreprise ou d’organisation
A system includes a processing device and memory device storing instructions that result in accessing a first dataset including aerial imagery data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of artificial-intelligence (AI) models are applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building footprint, and a tree detection model can be applied to identify one or more trees. An estimated distance can be determined between each of the trees and a nearest portion of the building footprint as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
G06F 16/29 - Bases de données d’informations géographiques
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06F 16/587 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des informations géographiques ou spatiales, p.ex. la localisation
A system includes a processing device and memory device configured to access an email message received at a mail server, extract a plurality of correspondence data from the email message, and apply a correspondence classifier to the correspondence data to determine a request type of the email message. The processing device is further configured to extract a plurality of entities from the email message in a free-form format, where extracting is performed based on determining that the request type is supported. The processing device can also determine a confidence level of the extracting of the entities, perform a lookup of the entities in one or more records of a database based on determining that the confidence level is above a confidence threshold, and generate a new processing request including prepopulated data fields populated with the entities based on identifying a match in the one or more records of the database.
G06F 16/907 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06V 10/40 - Extraction de caractéristiques d’images ou de vidéos
A system includes a processing system and memory system configured to apply a building detection model to identify a footprint of a building based on a first dataset. The building characterization model is applied to identify one or more derived characteristics of the building based on the footprint. A building area is determined based on the footprint and at least one of the one or more derived characteristics of the building. A record is created including an indicator of a geographic area, the building area, and the one or more derived characteristics of the building. A processing request is generated based on the record. One or more derived characteristics of the building are compared with one or more corresponding values of property data from a third-party data source to identify a mismatch. A data accuracy verification request is output based on the mismatch.
G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
G06N 5/04 - Modèles d’inférence ou de raisonnement
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
59.
Systems and methods for cooperatively-overlapped and artificial intelligence managed interfaces
Systems, apparatus, methods, and articles of manufacture for cooperatively-overlapped and Artificial Intelligence (AI)-managed interfaces. For example, multiple cooperatively and/or partially overlapped interfaces may be provided (e.g., via an electronic and/or touch-screen device), with such interfaces being dynamically managed by various AI components, such as natural language processing, machine learning techniques, and/or neural network data processing.
G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p.ex. dialogue homme-machine
G06F 9/451 - Dispositions d’exécution pour interfaces utilisateur
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p.ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p.ex. des réponses automatiques ou des messages générés par un agent conversationnel
Systems, apparatus, methods, and articles of manufacture for Artificial Intelligence (AI) theft prevention and recovery, such as by utilizing image object analysis to identify and report pilfering-type cargo or materials theft events.
G08B 13/194 - Déclenchement influencé par la chaleur, la lumière, ou les radiations de longueur d'onde plus courte; Déclenchement par introduction de sources de chaleur, de lumière, ou de radiations de longueur d'onde plus courte utilisant des systèmes détecteurs de radiations passifs utilisant des systèmes de balayage et de comparaison d'image
G08B 3/10 - Systèmes de signalisation audible; Systèmes d'appel sonore de personnes utilisant une transmission électromagnétique
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
61.
Systems and methods for geospatial value subject analysis and management
Location information may be gathered, managed, stored, and/or otherwise utilized to determine unique geo-referenced locations. The geo-referenced locations may be utilized to inform various processes and decisions such as insurance underwriting, risk assessment, pricing, and risk/loss control. Geo-referenced location information may also be utilized to allow for user-defined or customized value subject data gathering, analysis, and management.
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p.ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
G06F 16/532 - Formulation de requêtes, p.ex. de requêtes graphiques
G06F 16/29 - Bases de données d’informations géographiques
G06F 3/04842 - Sélection des objets affichés ou des éléments de texte affichés
Systems, methods, and articles of manufacture provide for systemic resource utilization analysis and management, such as employing a single-point sensor to detect or identify resource leakage at one or more other locations in a structure.
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
G08B 25/08 - Systèmes d'alarme dans lesquels l'emplacement du lieu où existe la condition déclenchant l'alarme est signalé à une station centrale, p.ex. systèmes télégraphiques d'incendie ou de police caractérisés par le moyen de transmission utilisant les lignes de communication
63.
Systems and methods for simplified and partially-automated data transfers
Systems, methods, and articles of manufacture provide for simplified and partially-automated data operation services, such as data transfer, storage, management, and analysis operations. Non-IT data consumers may, for example, initiate such data operations by providing only a subset of the required parameters for the operation, with the specially-coded system automatically fetching any missing parameters or values from one or more metadata stores and initiating the requested operation.
G06F 16/00 - Recherche d’informations; Structures de bases de données à cet effet; Structures de systèmes de fichiers à cet effet
G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données
G06F 11/10 - Détection ou correction d'erreur par introduction de redondance dans la représentation des données, p.ex. en utilisant des codes de contrôle en ajoutant des chiffres binaires ou des symboles particuliers aux données exprimées suivant un code, p.ex. contrôle de parité, exclusion des 9 ou des 11
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p.ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
G06F 16/28 - Bases de données caractérisées par leurs modèles, p.ex. des modèles relationnels ou objet
64.
Systems and methods for automated multi-object damage analysis
Systems and methods for automatically ascertaining an estimated amount of damage to a plurality of objects at a location by utilizing one or more Unmanned Aerial Vehicle (UAV), e.g., “drone” devices to capture imagery of the location and utilizing Artificial Intelligence (Al) logic modules to analyze the captured imagery.
G06N 5/02 - Représentation de la connaissance; Représentation symbolique
G05D 1/00 - Commande de la position, du cap, de l'altitude ou de l'attitude des véhicules terrestres, aquatiques, aériens ou spatiaux, p.ex. pilote automatique
H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c. à d. systèmes dans lesquels le signal vidéo n'est pas diffusé
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/32 - Alignement ou centrage du capteur d'image ou de la zone image
65.
Dynamic generation of an electronic identification card for display by an electronic device based on real-time policy information
A system for dynamic generation of an electronic identification card based on real-time policy information is provided. The system includes a processing device and a memory device. The memory device stores instructions that when executed by the processing device may result in receiving a request for an electronic identification card. The system then selects a policy specific to the user based on an electronic device being associated with the user and retrieves policy information of the policy specific to the user in response to the receiving of the request for the electronic identification card and to the selecting of the policy specific to the user. The system then compiles the electronic identification card that includes policy element fields, each policy element field presenting dynamic data elements specific to the user based on the policy information, and outputs to the electronic device associated with the user the electronic identification card.
Systems, apparatus, methods, and articles of manufacture provide for managing and presenting historical environment information as virtual content in augmented reality (AR) environments and applications.
G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie
G06T 7/50 - Récupération de la profondeur ou de la forme
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06F 16/54 - Navigation; Visualisation à cet effet
G06F 16/58 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
67.
Systems and methods for cooperatively-overlapped and artificial intelligence managed interfaces
Systems, apparatus, methods, and articles of manufacture for cooperatively-overlapped and Artificial Intelligence (AI)-managed interfaces. For example, multiple cooperatively and/or partially overlapped interfaces may be provided (e.g., via an electronic and/or touch-screen device), with such interfaces being dynamically managed by various AI components, such as natural language processing, machine learning techniques, and/or neural network data processing.
Artificial intelligence systems and methods providing enhanced prediction of information relevant to a conversation are disclosed. The method includes monitoring a conversation between a requestor and a provider. The method also includes determining metadata and text of the conversation. The method further includes determining a regional status of the requestor based on the metadata and text of the conversation, regional information, and regional classification rules. Additionally, the method includes determining a local status of the requestor based on the text of the conversation, the regional status, local information, and local classification rules. Moreover, the method includes determining suggestions based on the regional status, the local status, transactional status information, and transactional classification rules. Further, the method includes providing the suggestions to a user-interface device of the provider.
G06Q 30/016 - Fourniture d’une assistance aux clients, p. ex pour assister un client dans un lieu commercial ou par un service d’assistance après-vente
G06N 5/025 - Extraction de règles à partir de données
69.
State-based electronic message management systems and controllers
Systems, apparatus, methods, and articles of manufacture provide for receiving a text message from a user; identifying, based on (i) the text message and (ii) at least one intent rule, a message intent associated with the text message; identifying a current state of the conversation based on at least one conversation state rule and at least one of the following: (i) the message intent, (ii) the text message, and (iii) an outgoing message; and outputting the outgoing message to the user.
The present disclosure is directed to an on-demand intelligent assistant that obtains physical identifiers of a target individual using information received from sensors. The assistant determines an identity of the target individual using the physical identifiers. The assistant also caches the physical identifiers and the identity as baseline information of the target individual. The assistant further detects keywords used in communications of a user with the target individual. Moreover, the assistant determines that the user desires additional information of the target individual based on the keywords. Additionally, the assistant determines a query for the additional information using the baseline information and the keywords. Further, the assistant retrieves the additional information from a remote database using the query and provides the additional information to the user.
G06N 3/00 - Agencements informatiques fondés sur des modèles biologiques
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06F 17/00 - TRAITEMENT ÉLECTRIQUE DE DONNÉES NUMÉRIQUES Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des fonctions spécifiques
A system includes one or more code development servers operable to monitor development of code files and one or more code execution servers operable to execute the code files. One or more code analysis tools of the system include instructions that when executed by at least one processing device result in collecting code development data associated with development of the code files on a per user basis and determining a predicted code execution performance score of one or more selected files of the code files based on the code development data. One or more resources of the one or more code execution servers associated with execution of the one or more selected files are predictively allocated based on a predicted code execution performance score. One or more code execution metrics are captured associated with executing the one or more selected files on the one or more code execution servers.
Systems and methods for automatically ascertaining an estimated amount of damage to a plurality of objects at a location by utilizing one or more Unmanned Aerial Vehicle (UAV), e.g., “drone” devices to capture imagery of the location and utilizing Artificial Intelligence (AI) logic modules to analyze the captured imagery.
G06N 5/02 - Représentation de la connaissance; Représentation symbolique
G05D 1/00 - Commande de la position, du cap, de l'altitude ou de l'attitude des véhicules terrestres, aquatiques, aériens ou spatiaux, p.ex. pilote automatique
H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c. à d. systèmes dans lesquels le signal vidéo n'est pas diffusé
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/32 - Alignement ou centrage du capteur d'image ou de la zone image
73.
Systems and methods for automated accident analysis
Systems and methods for automated accident analysis such as automatic multi-device accident detection and verification, automated multi-device information capture, and automated geospatial and geo-relational digital scene recreation.
Systems, methods, and articles of manufacture provide for systemic resource utilization analysis and management, such as employing a single-point sensor to detect or identify resource leakage at one or more other locations in a structure.
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
G08B 25/08 - Systèmes d'alarme dans lesquels l'emplacement du lieu où existe la condition déclenchant l'alarme est signalé à une station centrale, p.ex. systèmes télégraphiques d'incendie ou de police caractérisés par le moyen de transmission utilisant les lignes de communication
Systems, apparatus, interfaces, methods, and articles of manufacture that provide for acquisition, management, and/or utilization of surface segment data.
Systems, apparatus, methods, and articles of manufacture provide for dynamic software generation and testing of software projects. In one example implementation, a controller device automatically defines a test case; generates an SQL definition for the automatically-defined test case, and executes the test case SQL definition to determine a test case SQL result of the test case SQL definition.
A system for risk reduction is provided. The system includes a processing device and a memory device. The memory device stores instructions that when executed by the processing device may result in receiving a first input corresponding to an asset of a user and deriving as a second input a benchmark from system data stored on a database. The instructions that when executed by the processing device may further result in calculating a difference between the first input and the second input, wherein a difference exceeding a predetermined amount indicates existence of the degradation condition, in which substantial damage to or failure of the asset or a component of the asset is imminent.
Systems, methods, and articles of manufacture provide for simplified and partially-automated data operation services, such as data transfer, storage, management, and analysis operations. Non-IT data consumers may, for example, initiate such data operations by providing only a subset of the required parameters for the operation, with the specially-coded system automatically fetching any missing parameters or values from one or more metadata stores and initiating the requested operation.
G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données
G06F 11/10 - Détection ou correction d'erreur par introduction de redondance dans la représentation des données, p.ex. en utilisant des codes de contrôle en ajoutant des chiffres binaires ou des symboles particuliers aux données exprimées suivant un code, p.ex. contrôle de parité, exclusion des 9 ou des 11
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p.ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
G06F 16/28 - Bases de données caractérisées par leurs modèles, p.ex. des modèles relationnels ou objet
79.
State-based electronic message management systems and controllers
Systems, apparatus, methods, and articles of manufacture provide for receiving a text message from a user; identifying, based on (i) the text message and (ii) at least one intent rule, a message intent associated with the text message; identifying a current state of the conversation based on at least one conversation state rule and at least one of the following: (i) the message intent, (ii) the text message, and (iii) an outgoing message; and outputting the outgoing message to the user.
Systems and methods for facilitating collaboration between a local user or team in a meeting space and one or more remote users outside the meeting space are provided. The virtual co-location system may include, for example, an IOT device including sensors, a microphone, a beacon light, a speaker, a user control interface (e.g., including a control input adjusted by the local user, the user control interface producing an electronic control signal representing a setting of a control device), and/or a local microprocessor for executing local collaboration software. The virtual co-location systems and methods may also or alternatively include a remote computer having a remote microprocessor for executing remote collaboration software.
Systems, methods, and articles of manufacture provide for non-disruptive complex variable calculations in online environments, such as real time or near-real time transaction processing utilizing non-disruptive variable calculation logic and decision table array inputs.
G06F 17/00 - TRAITEMENT ÉLECTRIQUE DE DONNÉES NUMÉRIQUES Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des fonctions spécifiques
82.
Systems and methods for strategic maintenance of a production environment utilizing a business rules management system
Systems, methods, and articles of manufacture provide for strategic maintenance of a production environment utilizing a Business Rules Management System (BRMS) topology by selectively executing batch files and transformation scripts to edit production tables in a staging environment and test the edited tables in an emergency fix environment utilizing an edited date override table.
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projets; Planification d’entreprise ou d’organisation; Modélisation d’entreprise ou d’organisation
A digital forensics system includes an ingestion system, an analysis system including analysis workstations, an archive system including storage arrays, and a server system including an evidence storage server and a virtual desktop server. The ingestion system includes ingestion workstations operable to receive extracted data from devices under analysis. The evidence storage server includes resources operable to generate evidence packages based on extracted data from the devices under analysis. The virtual desktop server includes resources operable to generate virtual desktop sessions that interface with the analysis workstations and interface with the evidence storage server to access the extracted data in the evidence packages, store work products in the evidence packages based on a forensic analysis of the extracted data in the evidence packages, and store associated work products with a second copy of extracted data to the archive system.
G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p.ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
G06F 21/56 - Détection ou gestion de programmes malveillants, p.ex. dispositions anti-virus
G06F 21/53 - Contrôle des usagers, programmes ou dispositifs de préservation de l’intégrité des plates-formes, p.ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade de l’exécution du programme, p.ex. intégrité de la pile, débordement de tampon ou prévention d'effacement involontaire de données par exécution dans un environnement restreint, p.ex. "boîte à sable" ou machine virtuelle sécurisée
G06F 21/55 - Détection d’intrusion locale ou mise en œuvre de contre-mesures
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
84.
Machine-based learning systems, methods, and apparatus for interactively mapping raw data objects to recognized data objects
Systems, apparatus, methods, and articles of manufacture provide for analysis of raw data and conversion of the raw data to searchable data objects. In one embodiment, a formatted searchable data object is generated in a first interface portion of a user interface in conjunction with the corresponding raw data displayed in a second interface portion of the user interface.
G06F 16/583 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
A system includes a network interface, a processing device, and a memory device. The memory device stores instructions for accessing a first log file of a first format type from a first server and converting the first log file to a first record in a shared data-interchange format. A second log file of a second format type is accessed from a second server. The second log file is converted to a second record in the shared data-interchange format, and instances of the first and second record are collected over a period of time. A resource allocation of the first server and the second server is analyzed based on the instances of the first record and the second record. A resource allocation adjustment request is transmitted to one or more of the server systems based on a predicted trend of the resource allocation of the first and second server.
Systems, apparatus, methods, and articles of manufacture provide for managing code migration to a target code environment. In one example implementation, after determining that source code is eligible for express migration from a first code environment to a second code environment, a code project package is automatically transmitted from a first code environment server to a second code environment server associated with the second code environment, without requiring user intervention.
Systems, methods, and articles of manufacture provide for systemic resource utilization analysis and management, such as employing a single-point sensor to detect or identify resource leakage at one or more other locations in a structure.
Systems, methods, and articles of manufacture provide for vibration analysis and monitoring, such as utilizing geo-referenced data to compute a plurality of sensor locations, facilitate sensor placement, identify a plurality of entities that may experience a planned vibration event, document historic or baseline damage, monitor and/or manage vibrations as they occur on site, and/or process vibration activity-related insurance claims.
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
Systems and methods for facilitating collaboration between a local user or team in a meeting space and one or more remote users outside the meeting space are provided. The virtual co-location system may include, for example, an IOT device including sensors, a microphone, a beacon light, a speaker, a user control interface (e.g., including a control input adjusted by the local user, the user control interface producing an electronic control signal representing a setting of a control device), and/or a local microprocessor for executing local collaboration software. The virtual co-location systems and methods may also or alternatively include a remote computer having a remote microprocessor for executing remote collaboration software.
Location information may be gathered, managed, stored, and/or otherwise utilized to determine unique geo-referenced locations. The geo-referenced locations may be utilized to inform various processes and decisions such as insurance underwriting, risk assessment, pricing, and risk/loss control.
Systems, methods, and articles of manufacture provide for interaction management (IM) data processing that allows for automated analysis of, response to, and/or identification of patterns in electronic messages (e.g., emails, text messages), via specially-programmed data processing modules configured to be executed in a communications system environment.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p.ex. pour le traitement simultané de plusieurs programmes
Systems and methods for facilitating collaboration between a local user or team in a meeting space and one or more remote users outside the meeting space are provided. The virtual co-location system may include, for example, an IOT device including sensors, a microphone, a beacon light, a speaker, a user control interface (e.g., including a control input adjusted by the local user, the user control interface producing an electronic control signal representing a setting of a control device), and/or a local microprocessor for executing local collaboration software. The virtual co-location systems and methods may also or alternatively include a remote computer having a remote microprocessor for executing remote collaboration software.
A system includes a network interface, at least one processing device, and at least one memory device. The at least one memory device stores instructions that when executed result in initiating creation of a single-use targeted link that provides access to a restricted access data entry system and serves the single-use targeted link through the network interface to a computer system of a targeted user with a time validity constraint. An access request received at the restricted access data entry system through the single-use targeted link is verified as being received within the time validity constraint. A network traffic throttling control reduces network traffic volume received through the single-use targeted link based on determining that the network traffic volume exceeds a traffic volume threshold. An identity control at the restricted access data entry system is applied to confirm entry of at least one identifying characteristic that matches the targeted user.
In some embodiments, systems and methods provide for assigning networked computer resources to computing tasks, based on, for example, task complexity and/or computer resource workload.
H04L 12/911 - Contrôle d’admission au réseau et allocation de ressources, p.ex. allocation de bande passante ou renégociation en cours de communication
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
95.
Predictive electronic message management systems and controllers
Systems, methods, and articles of manufacture provide for interaction management (IM) data processing that allows for automated analysis of, response to, and/or identification of patterns in electronic messages (e.g., emails, text messages), via specially-programmed data processing modules configured to be executed in a communications system environment.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p.ex. pour le traitement simultané de plusieurs programmes
Systems, apparatus, methods, and articles of manufacture provide for facilitating upload of one or more electronic files from a user device to a remote server. In some embodiments, a background upload process manages connectivity of the user device to the remote server and staging file uploads in a disconnected mode for automatic processing when connectivity is restored.
G06F 11/00 - Détection d'erreurs; Correction d'erreurs; Contrôle de fonctionnement
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
G06F 11/07 - Réaction à l'apparition d'un défaut, p.ex. tolérance de certains défauts
G06F 11/14 - Détection ou correction d'erreur dans les données par redondance dans les opérations, p.ex. en utilisant différentes séquences d'opérations aboutissant au même résultat
H04L 1/08 - Dispositions pour détecter ou empêcher les erreurs dans l'information reçue par émission répétée, p.ex. système Verdan
A system for automated assessments is provided. The system includes a processing device and a memory device. The memory device stores instructions that when executed by the processing device may result in receiving a video stream including image frames from an imaging source. Image data from one or more of the image frames can be compared with an image profile database to determine whether at least one item in one or more of the image frames is identifiable. A lookup operation can be initiated in a secondary data source to determine one or more item attributes of the one or more identified items. The video stream can be modified to add an item identifier for each of the identified items to the video stream as an annotated video. A record can be stored of the one or more item attributes of the identified items in the annotated video.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet
G06K 9/18 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales utilisant des caractères imprimés pourvus de marques de codage additionnelles ou comportant des marques de codage, p.ex. le caractère étant composé de barres distinctes de formes différentes, chacune représentant une valeur de code différente
G06F 17/00 - TRAITEMENT ÉLECTRIQUE DE DONNÉES NUMÉRIQUES Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des fonctions spécifiques
A system for mobile assessments is provided. The system includes a processing device and a memory device. The memory device stores instructions that when executed by the processing device may result in receiving an assessment request associated with physical assets at a remote location relative to an initiator system of the assessment request. An assessment type may be determined based on the assessment request. One or more interactive assessment forms can be retrieved from a database based on the assessment type. The interactive assessment forms may be populated with assessment data based on one or more observed conditions of the physical assets at the remote location. Image data associated with the observed conditions can be captured. The image data can be linked with the assessment data to establish relationship metadata. The image data, the assessment data, and the relationship metadata may be transmitted for storage in the database.
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projets; Planification d’entreprise ou d’organisation; Modélisation d’entreprise ou d’organisation
G07C 5/02 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement
G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
99.
Systems, methods, and apparatus for object classification based on localized information
Systems, apparatus, methods, and articles of manufacture provide for image analysis using localized information. In one embodiment, an object (e.g., content of a building or other type of property) may be classified by determining the type of object and determining classification information associated with previously classified objects of the same type and associated with the same geographical area.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/22 - Obtention de l'image en utilisant des instruments déplacés manuellement
A system includes a network interface, at least one processing device, and at least one memory device. The at least one memory device stores instructions that when executed result in initiating creation of a single-use targeted link that provides access to a restricted access data entry system and serves the single-use targeted link through the network interface to a computer system of a targeted user with a time validity constraint. An access request received at the restricted access data entry system through the single-use targeted link is verified as being received within the time validity constraint. A network traffic throttling control reduces network traffic volume received through the single-use targeted link based on determining that the network traffic volume exceeds a traffic volume threshold. An identity control at the restricted access data entry system is applied to confirm entry of at least one identifying characteristic that matches the targeted user.