Samsung SDS had 32 patents in artificial intelligence during Q4 2023. Samsung SDS Co Ltd filed patents for methods and systems related to detecting patterns, sharing document pages, detecting outliers, controlling legacy systems via chatbot services, and providing document edit services. These patents involve processes such as pattern matching, keyword checks, outlier score calculation, legacy system control, and document editing using multiple communication terminals. GlobalData’s report on Samsung SDS gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Samsung SDS grant share with artificial intelligence as a theme is 28% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method for detecting pattern and system thereof (Patent ID: US20230385381A1)
The patent filed by Samsung SDS Co Ltd. describes a method and system for detecting patterns in text data. The method involves registering a detection pattern that identifies where specific tokens appear within a defined distance, acquiring target text, and conducting pattern matching using a sliding window approach. The detection pattern is based on the frequency of appearances of detection tokens, and the target text can be processed by dividing it into partial texts for parallel pattern matching. The system includes a processor and memory to execute the pattern detection process efficiently.
The method further includes features such as predicting memory resource requirements for pattern matching, handling exceptions in the detection pattern, and optimizing the process based on available worker nodes and memory resources. By utilizing sliding windows and parallel processing, the system can efficiently detect patterns in text data based on predefined detection patterns and exception patterns. The approach allows for scalable and resource-efficient pattern detection in large volumes of text data, enhancing the overall efficiency of text analysis and processing tasks.
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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.
