首页|Patent Application Titled 'Unstructured Description-Based Chatbot Development Te chniques' Published Online (USPTO 20240185834)

Patent Application Titled 'Unstructured Description-Based Chatbot Development Te chniques' Published Online (USPTO 20240185834)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Aharoni, Asaf (Ramat Hasharon, IL); Goldshtein, Sasha (Tel Aviv, IL); Levi athan, Yaniv (New York, NY, US); Ron, Ofer (Givatayim, IL); Segalis, Eyal (Tel A viv, IL); Tzur, Yoav (Tel Aviv, IL), filed on December 5, 2022, was made availab le online on June 6, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Humans may engage in human-to-computer dialogs with interacti ve software applications referred to as "chatbots," "voice bots", "automated ass istants", "interactive personal assistants," "intelligent personal assistants," "conversational agents," etc. via a variety of computing devices. As one example , these chatbots may correspond to a machine learning model or a combination of different machine learning models, and may be utilized to perform various tasks on behalf of users. For instance, some of these chatbots can conduct conversatio ns with various humans to perform action(s) on behalf of another human or on beh alf of an entity. In some of these instances, the conversations can include voic e-based conversations, such as conversations conducted locally at a computing de vice, conducted remotely over multiple computing devices via a telephonic networ k, or other voice-based scenarios. In other instances, the conversations can inc lude text-based conversations, such as conversations conducted via text or SMS m essaging, email, and/or other text-based scenarios.

CyborgsEmerging TechnologiesMachine LearningPatent Application

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.20)