Twilio had four patents in artificial intelligence during Q2 2024. Twilio Inc filed patents in Q2 2024 for methods of abstractive summarization of text using machine learning models, a system for publishing events of a telephony application to clients, and a system for preventing illicit use of a telephony platform by detecting fraud through usage data analysis and initiating action responses. GlobalData’s report on Twilio gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Twilio had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Language model for abstractive summarization (Patent ID: US20240152689A1)
The patent filed by Twilio Inc. describes methods, systems, and computer programs for abstractive summarization of text by treating sequence transduction as a language modeling problem. The method involves training a machine-learning model to estimate a word to be added to a running summary for the text being summarized, detecting the text to be summarized, initializing the running summary, and adding new words to the summary through multiple iterations. The final summary is stored in memory. The claims detail a method and system for accessing text, inputting it into a machine-learning model, and adding the outputted word to the summary, with additional features like initializing the summary, presenting the summary, and training the model based on multiple conversations and summaries.
In summary, the patent focuses on a method and system for generating abstractive summaries of text by utilizing machine-learning models to predict and add words to a running summary. The process involves training the model, detecting and initializing the text to be summarized, and iteratively adding words to create the final summary. The claims outline specific steps and features of the method and system, including training the model based on multiple conversations and summaries, presenting the summary, and handling text representing multiple turns in a conversation.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
