Telefonaktiebolaget LM Ericsson had 23 patents in cloud during Q1 2024. The patents filed by Telefonaktiebolaget LM Ericsson in Q1 2024 include a method for retrieving and executing machine learning models based on specified input and output features, a wireless device method for computing channel state information, an adaptive scheduler for packet flow in a network, and a network slicing controller managed by an artificial intelligence powered traffic controller for policy changes in a 5G mobile network. GlobalData’s report on Telefonaktiebolaget LM Ericsson gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Telefonaktiebolaget LM Ericsson grant share with cloud as a theme is 39% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Candidate machine learning model identification and selection (Patent ID: US20240086766A1)
The patent filed by Telefonaktiebolaget LM Ericsson describes a computer-implemented method performed by a network node in a communication network. The method involves receiving a request for retrieving or executing a machine learning model based on specified input and output features, identifying candidate models that match these descriptions, and selecting the best model based on convergence. The process includes obtaining input data, verifying the model against the data, and sending the selected model for execution.
The method outlined in the patent involves a network node receiving requests for machine learning models, identifying suitable candidates based on input and output descriptions, and selecting the best model through comparisons and convergence. The process includes verifying the model against input data, evaluating accuracy, and ensuring importance propagation through different layers of the model. The patent also covers the structure of the network node and the data processing entity involved in the execution and verification of the machine learning models.
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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.
