Vinci has been granted a patent for a machine-learning based AI device that estimates patent quality, including patent lifetime. The device utilizes a set of binary classifiers generated from patent data to provide quality assessments for target patents through advanced algorithms and heuristic searches. GlobalData’s report on Vinci gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Vinci, Prosthetic cardiac valves was a key innovation area identified from patents. Vinci's grant share as of June 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
Machine-learning device for estimating patent quality
The patent US12014250B2 describes a machine-learning based artificial intelligence device designed to estimate the quality of patents. This device includes a patent data retriever that collects a comprehensive first set of patent data, which encompasses patent application data, references cited, and classification information for multiple patents. The device employs a classifier that utilizes a machine learning algorithm to generate a set of features from this data. Additionally, a user information manager is integrated to receive specific target patent information and provide an estimate of patent quality based on the generated features.
Further enhancing the device's functionality, the patent outlines the inclusion of a quantitative data scalar that normalizes the data within the first set, allowing for more accurate feature generation. This scalar can assign weights to various data items, which are then utilized by the classifier. The device can process both raw and derived data, with the latter potentially including grouped data from selected patents. The patent also describes a system that connects this AI device to a second device via a network, which features a user interface for inputting target patent information and receiving quality estimates, thereby facilitating user interaction and accessibility to patent quality assessments.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
