09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable chatbot software using artificial intelligence (AI) for creating and delivering interactive conversational media content for customer engagement, education, training, and branded digital experiences; Downloadable interactive multimedia computer program for creating and distributing interactive conversational video and voice-based content; Downloadable multimedia files containing audio and video relating to interactive conversational content for educational, promotional, and customer engagement purposes; Downloadable educational media, namely, audio files, video recordings, and multimedia files featuring interactive conversational training and engagement content; Computer software platforms, downloadable, for developing, editing, publishing, and managing interactive conversational media content Providing temporary use of online non-downloadable computer chatbot software for simulating conversations; Application service provider featuring application programming interface (API) software for integration of conversational media, interactive video, and voice-based content into websites and digital platforms; Providing computer programming services to customers that enables the customer's website to process natural language queries; Providing computer programming services to customers that enables them to provide video and audio content on their web sites; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for creating, managing, and delivering interactive conversational media content
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software and mobile application software for creating, authoring, distributing, downloading, transmitting, receiving, playing, editing, extracting, indexing, displaying, storing and organizing text, graphics, images, audio, video, and multimedia content; Downloadable software and mobile application software for generating, training, maintaining, refining and interacting with AI personalities, digital companions, and conversational agents based on personal data, communication patterns, memory archives, and life history; Downloadable software and mobile application software for simulating conversations and interacting with humans; Downloadable software and mobile application software using artificial intelligence for speech and text recognition, text-to-speech, voice cloning, voice generation, audio/video generation, and 3D modeling PAAS, SAAS, providing nondownloadable software and artificial intelligence software for creating, authoring, distributing, downloading, transmitting, receiving, playing, editing, extracting, indexing, displaying, storing and organizing text, graphics, images, audio, video, and multimedia content; PAAS, SAAS, providing nondownloadable software and artificial intelligence software for generating, training, maintaining, refining and interacting with AI personalities, digital companions, and conversational agents based on personal data, communication patterns, memory archives, and life history; PAAS, SAAS, providing nondownloadable software and artificial intelligence software for speech and text recognition, text-to-speech, voice cloning, voice generation, audio/video generation, and 3D modeling; PAAS, SAAS, providing nondownloadable software and artificial intelligence software for simulating conversations and interacting with humans; Software design and development
3.
DIGITAL IMAGE ANNOTATION AND RETRIEVAL SYSTEMS AND METHODS
In a digital image annotation and retrieval system, a machine learning model identifies an image feature in an image and generates a plurality of question prompts for the feature. For a particular feature, a feature annotation is generated, which can include capturing a narrative, determining a plurality of narrative units, and mapping a particular narrative unit to the identified image feature. An enriched image is generated using the generated feature annotation. The enriched image includes searchable metadata comprising the feature annotation and the plurality of question prompts.
G06V 10/77 - Traitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions 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
G06V 10/86 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les représentations syntaxiques ou structurelles du motif d’image ou vidéo, p. ex. reconnaissance des chaînes symboliquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant des correspondances graphiques
G06V 10/94 - Architectures logicielles ou matérielles spécialement adaptées à la compréhension d’images ou de vidéos
G06V 20/70 - Étiquetage du contenu de scène, p. ex. en tirant des représentations syntaxiques ou sémantiques
4.
ARTIFICIAL INTELLIGENCE ASSISTED INTERVIEW SYSTEM FOR GENERATING AND QUERYING INTERACTIVE VIDEOS
Example systems, methods, and non-transitory computer readable media are directed to an AI-assisted interview system that provides real-time analysis and suggestions during video and audio interviews. The system can analyze questions, response text, audio, and video in real-time and suggest follow-up topics and questions. Suggested topics and questions can optimize for breadth by sampling under-sampled semantic regions and/or depth by identifying related questions. The system can provide clarification suggestions for ambiguous responses and measure quality metrics for questions and answers.
Aspects of the disclosure generally relate to computing devices and may be generally directed to devices, systems, methods, and/or applications for learning conversations among two or more conversation participants, storing this knowledge in a knowledgebase (i.e. neural network, graph, sequences, etc.), and enabling a user to simulate a conversation with an artificially intelligent conversation participant.
G06N 3/006 - Vie artificielle, c.-à-d. agencements informatiques simulant la vie fondés sur des formes de vie individuelles ou collectives simulées et virtuelles, p. ex. simulations sociales ou optimisation par essaims particulaires [PSO]
Aspects of the disclosure generally relate to computing devices and may be generally directed to devices, systems, methods, and/or applications for learning conversations among two or more conversation participants, storing this knowledge in a knowledgebase (i.e. neural network, graph, sequences, etc.), and enabling a user to simulate a conversation with an artificially intelligent conversation participant.
G06N 3/006 - Vie artificielle, c.-à-d. agencements informatiques simulant la vie fondés sur des formes de vie individuelles ou collectives simulées et virtuelles, p. ex. simulations sociales ou optimisation par essaims particulaires [PSO]
G06N 5/04 - Modèles d’inférence ou de raisonnement
In a digital image annotation and retrieval system, a machine learning model identifies an image feature in an image and generates a plurality of question prompts for the feature. For a particular feature, a feature annotation is generated, which can include capturing a narrative, determining a plurality of narrative units, and mapping a particular narrative unit to the identified image feature. An enriched image is generated using the generated feature annotation. The enriched image includes searchable metadata comprising the feature annotation and the plurality of question prompts.
G06V 10/77 - Traitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions 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
G06V 10/86 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les représentations syntaxiques ou structurelles du motif d’image ou vidéo, p. ex. reconnaissance des chaînes symboliquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant des correspondances graphiques
G06V 10/94 - Architectures logicielles ou matérielles spécialement adaptées à la compréhension d’images ou de vidéos
G06V 20/70 - Étiquetage du contenu de scène, p. ex. en tirant des représentations syntaxiques ou sémantiques
The present application discloses a multi-media interactive story-telling system that provides natural conversational interactions between a human user and a contributor who appears in multi-media recordings. The multi-media interactive story-telling system includes an intake device for recording interview sessions in which a contributor tells a life story about her life experience. The contributor may rely on a script when creating the life story. The multi-media interactive story-telling system further comprises storage devices for storing the recorded interview sessions and processors for organizing the recorded interview sessions. The multi-media interactive story-telling system further comprises an interactive device for retrieving and playing a recorded interview session in response to a query from a user.
A47J 31/41 - Appareils à préparer des boissons avec des moyens de distribution pour ajouter une quantité mesurée d'ingrédients, p. ex. du café, de l'eau, du sucre, du cacao, du lait, du thé d'ingrédients liquides
A23D 9/007 - Autres huiles ou graisses comestibles, p. ex. huiles pour cuisson caractérisées par des ingrédients autres que des triglycérides d'acides gras
A47J 31/18 - Appareils dans lesquels du café moulu ou des feuilles de thé sont immergés dans le liquide chaud dans le récipient pour la boisson
A47J 31/40 - Appareils à préparer des boissons avec des moyens de distribution pour ajouter une quantité mesurée d'ingrédients, p. ex. du café, de l'eau, du sucre, du cacao, du lait, du thé
B65D 85/804 - Réceptacles ou emballages jetables dont le contenu est infusé ou dissous en restant dans l'emballage
The present application discloses a multi-media interactive story-telling system that provides natural conversational interactions between a human user and a contributor who appears in multi-media recordings. The multi-media interactive story-telling system includes an intake device for recording interview sessions in which a contributor tells a life story about her life experience. The contributor may rely on a script when creating the life story. The multi-media interactive story-telling system further comprises storage devices for storing the recorded interview sessions and processors for organizing the recorded interview sessions. The multi-media interactive story-telling system further comprises an interactive device for retrieving and playing a recorded interview session in response to a query from a user.
Aspects of the disclosure generally relate to computing devices and may be generally directed to devices, systems, methods, and/or applications for learning conversations among two or more conversation participants, storing this knowledge in a knowledgebase (i.e. neural network, graph, sequences, etc.), and enabling a user to simulate a conversation with an artificially intelligent conversation participant.
Aspects of the disclosure generally relate to computing devices and may be generally directed to devices, systems, methods, and/or applications for learning conversations among two or more conversation participants, storing this knowledge in a knowledgebase (i.e. neural network, graph, sequences, etc.), and enabling a user to simulate a conversation with an artificially intelligent conversation participant.
