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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