26595 results about "Multimedia" patented technology

An online social wager-based gaming system is disclosed, featuring dynamic cross-provider game filtering and persistent cross-provider voice-interactive group play. The system allows for automated multi-seat group game reservations and incorporates a distributed ledger for bet verification. Features include a Group Connect module for dynamic group formation and live audio across various game providers, enabling real-time play. A Professional Companion Connect module facilitates live webcam or microphone gambling sessions with professional companions, under contractual agreements. The User Games module enhances personalization by integrating user-uploaded images into the gaming environment. A cryptocurrency / blockchain-based bet tracking system ensures transparency and security in managing bet transactions through a controlled digital wallet system. This integrated platform aims to provide a cohesive, interactive, and personalized online casino experience, addressing limitations of traditional solitary online gaming by fostering social connections and enhancing user trust and engagement.

Disclosed is a chat group management method, including: detecting a message receiving mode corresponding to a chat group; obtaining a degree of interest of a user for chat group messages and an activity degree of the user in the chat group in accordance with a determination that the message receiving mode corresponding to the chat group is a mute-notification receiving mode; determining an importance ranking for the chat group according to the degree of interest and the activity degree; and updating the chat group's position among a plurality of chat groups in accordance with the importance ranking.

In some embodiments, while displaying a content entry user interface element and while a first content entry tool is selected, an electronic device detects a first movement of a predefined portion of a user while the predefined portion has a first shape. In some embodiments, in response to detecting the first movement, in accordance with a determination that a gaze of the user was directed toward the content entry user interface element when the first movement was detected, the electronic device enters first content, based on the first content entry tool, corresponding to the first movement into the content entry user interface element. In some embodiments, in accordance with a determination that the gaze of the user was directed toward a menu user interface element when the first movement was detected, the electronic device selects a second content entry tool for entering content into the content entry user interface element.

An example operation may include at least one of retrieving vectors from a vector database, where the vectors include previous communication content between a source device and a service provider device, identifying an item of interest that has not been discussed in the previous communication content based on execution of a large language model (LLM) on the vectors, generating content about the item of interest, and outputting the content about the item of interest to at least one of the source device and the service provider device during an active communication session between the source device and the service provider device.

Methods for displaying user interfaces in a computer-generated environment provide for an efficient and intuitive user experience. In some embodiments, user interfaces can have different immersion levels. In some embodiments, a user interface can have a respective immersion level based on its location in the three-dimensional environment or distance from the user. In some embodiments, a user interface can have a respective immersion level based on the state of the user interface. In some embodiments, a user interface can switch from one immersion level to another in response to the user's interaction with the user interface.

A device environment can include a plurality of devices, including an audio device, in communication over a network. An audio device (such as a soundbar) can comprise a speaker, a camera, and other sensors. The audio device can receive information from other devices in the environment including image data from other cameras and physiological data from wearable devices, etc. The audio device can monitor and control aspects of the environment. The audio device can provide information to the user including audible notifications, and can monitor the user including the user's position or physiological condition, alone or in combination with other devices in the environment.

The method and systems for automatically identified currently viewing website domain name or a uniform resource locator (URL), receiving, by the server, said automatically identified website domain name or the uniform resource locator (URL), a request or an invitation for initiating a communication including live chat, puts the request for initiating a communication including live chat from the first user and the second user in a communication including live chat queue of the website or the uniform resource locator (URL) associated account, for available or identified or relevant agents to pick up, routing request or invitation for initiating a communication including live chat from the first user and the second user according to a pre-set rules and start a communication including live chat by available agent by selecting particular request for initiating a communication including live chat from the queued communication including live chats.

An electronic gaming system including a memory and a processor is described. The processor is configured to receive a first input from a first electronic gaming device associated with initiation of a first play and receive a second input from a second electronic gaming device associated with initiation of a second play. The processor is also configured to cause a first game outcome for the first play to be determined and cause a second game outcome for the second play to be determined. The processor is also configured to cause the first output amount to be provided to the first player account and, based upon the first output amount associated with a first output amount ID being provided to the first player account, cause a replacement game outcome to be determined as a replacement for the second game outcome.

A central lottery system and method, incorporating a non-transitory computer-readable medium which facilitates providing a public lottery game. A lottery retailer communicates a player's lottery selections via an internet connection to a central lottery system. The central lottery system incorporates a database and database management subsystem. The system and method will produce a lottery drawing at a specific date and time that incorporates three random number sources to generate a primary random number selection (white, first random number source), and two secondary random number selections (gold and silver, bonus drawings). The second number source is used for selection of the gold bonus drawing, and the third number source selects the silver bonus drawing. The system, method, and non-transitory computer-readable medium include a computer configured with a game specification file created by the lottery office. The game specification defines the characteristics of the three number drawings and their relationships to each other.

An Automated AI-Driven Lifestyle Orchestration System proactively manages a user's daily life by intelligently populating calendars with relevant, time-sensitive marketing objects. This is achieved through sophisticated AI-driven analysis of user directives, preferences, and real-time location data obtained via computing devices like smartphones. The system leverages advanced media identification modules employing fingerprinting and watermarking to accurately match user-captured media (via a Percipient Sample Pack (PSP)) to specific content and associated products. It facilitates dynamic commerce through hierarchical linked lists for purchasing authentic or similar items, supported by an affiliate program. This inventive solution significantly improves personal organization and digital commerce by transforming passive interaction into a proactive, intelligent, and monetizable user experience.

An example operation may include at least one of storing first interaction content with a service provider; receiving second interaction content from a communication session between a source device and a service provider device of the service provider; identifying at least one contextual attribute associated with the source device; determining a response based on execution of at least one large language models (LLMs) on the second interaction content, the at least one contextual attribute associated with the source device, and the first interaction content with the service provider; and outputting the response to at least one of the source device and the service provider device during the communication session.

Techniques are described for identifying functionalities (i.e., user experiences) that are requested by users but are not supported by natural understanding (NU) processing. Some embodiments may involve identifying functionalities by transforming user inputs to functionality-based representations. The functionality-based representations may be grouped into individual functionalities. The user inputs associated with an individual functionality may be evaluated using an NU component to determine whether the functionality is supported. These techniques may enable discovery at a functionality level, rather than at a user input level, an intent level, or an entity level. These techniques may also be used to group user inputs to determine trending functionalities.

A computer system displays a user interface, including, in accordance with a determination that a first notification includes first content meeting relevance criteria and a second notification includes second content meeting the relevance criteria, concurrently displaying the first and second notifications within a user interface object. The computer system detects an input directed to the user interface object, and in response: in accordance with a determination that the input is directed to the first notification, the computer system performs a first operation with respect to the first notification, and forgoes performing the first operation with respect to the second notification; and in accordance with a determination that the input is directed to the second notification, the computer system performs a second operation with respect to the second notification, and forgoes performing the second operation with respect to the first notification.

Provided herein is a gaming system that presents symbol-bearing reels, a symbol array, and persistent elements external to the array that each have a respective set of visual states and are uniquely associated with a respective state symbol type. The system generates and presents one or more game outcomes, where each game outcome includes spinning and stopping the symbol-bearing reels to land symbols in the array, animating, in response to the landed symbols including a state change event associated with a first persistent element, the first persistent element and associated state symbols to change from a first visual state to a second visual state, and, in response to detecting a symbol trigger event associated with the first persistent element, presenting a game enhancement sequence for a game enhancement that varies based on the current visual state of the first persistent element.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for creating and distributing customized artificial intelligence chatbots. In some implementations, a system provides an interface for creating or editing an interactive application configured to provide responses generated using one or more artificial intelligence (AI) or machine learning models. The system receives customization data through the interface, where the customization data indicates customizations specified by a user to customize the interactive application. The system stores one or more records specifying configuration settings representing the customizations for the interactive application. The system provides one or more users access to the interactive application with the customizations.

Techniques for operating a chatbot system for enterprise-level conversational agents are disclosed. These techniques are performed by an application or cloud service executing on one or more computing devices. An enterprise system can deploy conversational agents onto user devices to run as chat interfaces for logging analytics question-answering. One example application or cloud service may be a multi-model chat mechanism configured to support these chat interfaces with backend functionality. In response to an incoming question, the chat mechanism first consolidates the question with any conversation history and then, classifies the user's question as either a question regarding unstructured document data, a question regarding structured log data, or a hybrid question. Based on the classification, the chat mechanism can generate a proper large language model (LLM) response.

Embodiments of the present invention provide computer-implemented methods, computer program product, and computer systems. One or more processors analyze user prompts using one or more natural language understanding techniques. One or more processors then enrich the user prompts by integrating contextual data from user interaction history and adapt the enriched user prompts to align with characteristics of Large Language Models (LLMs) and Application Programming Interfaces (API) requirements of the LLMs.

The present disclosure teaches an integrated computerized platform for sports gambling. First, a plurality of legal operators for sports gambling are identified in a given state. The platform collects data from the operators and aggregates the collected data. The aggregated data is displayed to users of the platform, wherein the most favorable line provided by the plurality of operators for each of a plurality of events are highlighted. The platform has a platform account at each of the plurality of operators. When a user places a bet via the platform, targeting operator A, the platform deposits a payment from the user into the platform account A at operator A and places a bet via the platform account A. If the user wins the bet, operator A will issue a payback to the aggregated account A, and the platform will subsequently issue the payback to the user.

A research assistant system described herein includes a research assistant tool and associated components and a graphical user interface to guide user input to research, discover, and evidence answers for complex research questions. The research assistant system may include the graphical user interface (“GUI” or “user interface”) for presentation on a user device associated with a user. The user interface may provide prompts and guidance for collaboration and exploration of research concepts iteratively. A concept may include a search term, entities, and / or propositions / statements.

The invention discloses a virtual historical character dialogue method and system with role knowledge and context awareness, and relates to the technical field of man-machine interaction, and the method comprises the steps: constructing a multi-level role depth model; when a question of a current user is received, identifying information of a virtual scene where the current user is located, analyzing micro-expressions of the face of the user and voice rhythm characteristics of speech of the user, analyzing an emotional state and an interaction intention of the user based on a multi-modal fusion algorithm, and generating a user state vector; executing a dynamic Prompt construction program, extracting related information from the multi-level role depth model and the user state vector, and generating a structured Prompt; and inputting the structured Prompt into a large language model, generating a reply text conforming to role features based on questions of the current user, and driving a virtual character model. The method solves the problem that in the prior art, virtual historical figures cannot provide real immersion and credible interactive experience with emotional connection.

In some embodiments, a natural language understanding (NLU) hypothesis may be determined for a natural language input to a device and a first component may be used to obtain first visual content corresponding to a first skill associated with the first NLU hypothesis. A second component may also be used to obtain second visual content corresponding to a second skill. The device may be caused to output a first graphical user interface (GUI) element including the first visual content and a second GUI element including the second visual content. In response to a subsequent input to the device corresponding to the second GUI element, the device may be caused to output content corresponding to the second skill.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that iteratively generates, utilizing a machine learning model, text responses to reduce hallucinated content. In particular, in some embodiments, the disclosed systems receive a digital query and selects one or more supporting digital documents for the digital query. Furthermore, in some embodiments the disclosed systems generate a first text response from a first text prompt generated by using the digital query. Moreover, in some embodiments the disclosed systems extract a misalignment portion of the first text response by comparing the first text response and the one or more supporting digital documents. Additionally, from the misalignment portion of the first text response and the digital query, the disclosed systems further generate a second text response.

A data processing system implements receiving content and a call requesting a generative model to generate a video summary of the content; constructing a prompt including the content and instructions to the model to identify semantic context of the content, to identify a text data item, an audio data item, and / or a video data item embedded in the content to generate a text transcript of the audio data item and / or the video data item, or a textual description of the video data item, to summarize the text data item, the text transcripts, and / or the textual description as a summary of the content based on the semantic context, and to generate the video summary based on the summary and a portion of the text data item, the audio data item, and / or the video data item; providing the first prompt to the generative model; providing the video summary to a client device for presentation.

The present disclosure relates generally to a gaming system, device, and method supportive of rewarding responsible gaming behaviors. An illustrative method includes presenting a representation of the electronic game on a display device, where the representation of the electronic game includes displaying a plurality of game features, executing the electronic game, determining, during execution of the electronic game, that a player of the electronic game has taken an action that corresponds to a responsible gaming action, correlating the responsible gaming action to a reward for the player, and presenting information to the player that describes the reward for the player along with instructions for redeeming the reward.

Provided is a technique referred to as Voice to Analytics (“Vox2A”), an approach to produce analytic results from a collection of data by using natural language interrogation based on broad but constrained interpretation of user intent to create and present a set of responses containing the sought-after information. The result may be a faster “time-to-analytical answers” tool featuring a shorter user learning curve and easy to navigate experience, making for faster, more informative results, thus improving user productivity.

Some examples are directed to systems and methods for presenting spatial audio at a plurality of locations based upon movement of a user viewpoint. Some examples are directed to systems and methods for presenting spatial audio with a level of detail based upon a distance between a location corresponding to spatial audio and a user viewpoint. Some examples are directed to systems and methods for changing a level of audio of an audio component associated with a virtual environment in response to a request to change a level of immersion of the virtual environment.

An inclusive prompt recommendation system for generative AI utilizes an inclusive prompt recommendation model to provide recommendations of inclusive language to include in a prompt in order to promote inclusivity and diversity of generated content. The inclusive prompt recommendation model is trained to analyze input text to identify situations, such as gaming, storytelling, social media, projects or presentations for work / school, and like, where the user's intent is to generate an image or description of a person. The model is trained to identify patterns associated with ways users have historically incorporated inclusive terminology intext. The system can include an ethical filtering mechanism for ensuring that prompt recommendations do not have language that directly or indirectly promotes bias and / or stereotypes.

The invention belongs to the technical field of biological medicine, and particularly relates to a video content quality analysis and knowledge recommendation method and system based on a large model, and the method comprises the steps: carrying out the video obtaining through an input keyword based on a short video platform, and obtaining a video ID, a video content text and video metadata; based on the video content text, multi-dimensional text information extraction and problem diagnosis are carried out, and a structured video text is generated; performing multi-dimensional scoring on the structured video text, calculating to obtain a video quality score, and constructing an initial high-quality video candidate set; based on the initial high-quality video candidate set and the user input question, calculating a similarity score of the user input question and the initial high-quality video candidate set, and constructing a high-quality video candidate set; and in combination with the video quality score and the similarity score, carrying out weighted calculation on a comprehensive recommendation score of each video in the high-quality video candidate set, and outputting the first three recommended videos and recommendation reasons to realize precise recommendation.

In described techniques, a request may be received at a virtual agent. The request may be processed at a router prompt to determine, from a language model, a topic prompt of a plurality of topic prompts associated with the request. The topic prompt and the request may be provided to the language model. A response to the request may be received from the language model and in response to the topic prompt and the request. Accordingly, the response may be provided using the virtual agent.

A method of automatic pre-prompt generation includes receiving at least one user preference from a user device, modifying a system prompt for a machine-learning language model based on the received at least one user preference to generate a modified system prompt, providing the modified system prompt as an initial input to the machine-learning language model, receiving a natural-language text prompt provided by the user to a chat application on the user device, receiving a user identifier from the user device, querying a first database with the user identifier to retrieve first information, generating a representation of the first information and the natural-language prompt, querying a second database using the representation to retrieve second information, and generating a modified text prompt based on the natural-language prompt, the first information, and the second information.