Cambricon Technologies has been granted a patent for an integrated circuit chip apparatus designed for neural network operations with low power consumption. The chip includes a main processing circuit and basic processing circuits for data conversion and parallel computations. GlobalData’s report on Cambricon Technologies 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 Cambricon Technologies, User journey analytics was a key innovation area identified from patents. Cambricon Technologies's grant share as of February 2024 was 74%. Grant share is based on the ratio of number of grants to total number of patents.
Patent granted for integrated circuit chip for neural network operations
A recently granted patent (Publication Number: US11900241B2) discloses an integrated circuit chip apparatus designed for neural network computations. The apparatus includes a main processing circuit and multiple basic processing circuits equipped with data type conversion circuits to convert data between floating and fixed point data types. The main processing circuit transfers data and computation instructions to the basic processing circuits, which then convert the data into fixed point format, perform neural network computations in parallel, convert the results back to floating point, and transfer them back to the main processing circuit.
Furthermore, the patent details a processing system incorporating the neural network computing apparatus connected to a general-purpose processing apparatus via a general interconnection interface. The system operates similarly to the integrated circuit chip apparatus, with the main processing circuit performing a second set of neural network computations in series on the results obtained from the basic processing circuits. The basic processing circuits are capable of handling data in both floating and fixed point formats, enabling efficient neural network operations within the integrated circuit chip apparatus.
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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.
