Cambricon Technologies had 37 patents in artificial intelligence during Q1 2024. Cambricon Technologies Corp Ltd’s patents filed in Q1 2024 focus on a data processing method that involves obtaining content of a descriptor to indicate tensor data shape and address, and executing processing instructions accordingly. The method includes a control module with instruction caching, processing, and storage queue units to enhance operation efficiency of neural network models. GlobalData’s report on Cambricon Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Cambricon Technologies grant share with artificial intelligence as a theme is 89% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Data processing method and apparatus, and related product for increased efficiency of tensor processing (Patent ID: US20240028334A1)

The patent filed by Cambricon Technologies Corp Ltd describes a data processing method that involves obtaining the content of a descriptor to indicate the shape and data address of tensor data when processing instructions are executed. The method includes determining the data address of the tensor data in a storage space and executing the processing instruction accordingly. The descriptor is used to represent N-dimensional tensor data, with shape and address parameters, facilitating efficient data processing.

Furthermore, the patent outlines a data processing apparatus that includes a controller to obtain descriptor content and a processing circuit to execute instructions based on the descriptor. The apparatus allows for efficient data processing by determining data addresses in storage spaces and executing corresponding operations. The apparatus is particularly useful for neural network chips, enhancing their capabilities in processing complex data structures efficiently.

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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.