Alibaba Group had 122 patents in artificial intelligence during Q2 2024. Alibaba Group Holding Ltd filed patents in Q2 2024 related to optimizing neural network models, reducing model size, video coding using CNN filters, superconducting qubit environmental information analysis, and SSD data storage management. These patents focus on improving efficiency and performance in various technological applications. GlobalData’s report on Alibaba Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Alibaba Group had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Method and device for matrix multiplication optimization using vector registers (Patent ID: US20240176845A1)
The patent filed by Alibaba Group Holding Ltd. describes methods and devices for optimizing the loading of non-zero elements in a neural network model matrix into vector registers. The method involves classifying sections of the matrix based on distribution patterns of non-zero elements and identifying memory addresses for loading these elements into vector registers in a specific order. The patent outlines a process for efficiently performing matrix multiplication operations between weight matrices and input matrices in neural networks by leveraging the identified memory addresses.
The claims in the patent detail the steps involved in the method, including classifying matrix portions based on distribution patterns, identifying memory addresses for loading non-zero elements into vector registers, and generating instruction sets for efficient processing. The patent also covers scenarios where different distribution patterns are used for various matrix sections, optimizing the loading process based on the specific characteristics of the non-zero elements. Additionally, the patent addresses the use of pruned matrices and provides instructions for executing the method on an apparatus or a computer-readable medium. Overall, the patent focuses on enhancing the performance of neural network models by streamlining the loading and processing of non-zero elements in matrix operations.
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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.
