09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & 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 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & 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 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/86 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using syntactic or structural representations of the image or video pattern, e.g. symbolic string recognitionArrangements for image or video recognition or understanding using pattern recognition or machine learning using graph matching
G06V 10/94 - Hardware or software architectures specially adapted for image or video understanding
G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations
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 - Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [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 - Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
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 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/86 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using syntactic or structural representations of the image or video pattern, e.g. symbolic string recognitionArrangements for image or video recognition or understanding using pattern recognition or machine learning using graph matching
G06V 10/94 - Hardware or software architectures specially adapted for image or video understanding
G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations
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 - Beverage-making apparatus with dispensing means for adding a measured quantity of ingredients, e.g. coffee, water, sugar, cocoa, milk, tea of liquid ingredients
A23D 9/007 - Other edible oils or fats, e.g. shortenings or cooking oils characterised by ingredients other than fatty acid triglycerides
A47J 31/18 - Apparatus in which ground coffee or tea-leaves are immersed in the hot liquid in the beverage container
A47J 31/40 - Beverage-making apparatus with dispensing means for adding a measured quantity of ingredients, e.g. coffee, water, sugar, cocoa, milk, tea
B65D 85/804 - Disposable containers or packages with contents which are infused or dissolved in situ
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.
