Agilent Technologies had six patents in artificial intelligence during Q2 2024. Agilent Technologies Inc filed a patent for a chromatography system that includes a device for synthesizing a modeled reference chromatogram and another device for evaluating operation conditions based on the modeled reference chromatogram. GlobalData’s report on Agilent Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Agilent Technologies had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Chromatography system and method (Patent ID: US20240159720A1)
The patent filed by Agilent Technologies Inc. describes a chromatography system that includes a chromatogram modeling device for creating a modeled reference chromatogram and an evaluation device for assessing the operation conditions of a chromatography device based on this modeled reference chromatogram. The system utilizes a database of chromatograms, partially measured by customers, to enhance the accuracy of the modeled reference chromatogram synthesis. The evaluation device compares the modeled reference chromatogram with a measured chromatogram from the chromatography device being evaluated, using an evaluation tolerance to determine if the measured chromatogram falls within acceptable parameters.
Furthermore, the synthesis of the modeled reference chromatogram can involve simulations, statistical analysis, and considerations of operational parameters, age, wear, and emulation. The system also allows for the application of measured chromatograms from qualified chromatography devices to improve the accuracy of the modeled reference chromatogram synthesis. Additionally, the system can utilize artificial intelligence algorithms or neural networks in the synthesis process. The method described in the patent involves synthesizing a modeled reference chromatogram, evaluating the operation conditions of a chromatography device based on this chromatogram, and providing the necessary information to customers through a communication connection. Overall, the system aims to enhance the efficiency and accuracy of chromatography devices by utilizing customer-generated data and advanced modeling techniques.
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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.
