Telefonaktiebolaget LM Ericsson had 188 patents in artificial intelligence during Q2 2024. The patents filed by Telefonaktiebolaget LM Ericsson in Q2 2024 include methods for training models for labeling images, coordinating network nodes based on energy metrics, monitoring voice communication quality using machine learning models, encoding data into physical qubits for Quantum Neural Networks, and managing communication network performance using AI modules based on risk levels. 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 had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Method and system for providing labeled images for small cell site selection (Patent ID: US20240211541A1)
The patent filed by Telefonaktiebolaget LM Ericsson describes a method for training a model to label images using a combination of labeled and pseudo-labeled datasets. The method involves selecting datasets of images from geographical areas, feeding them into the model, combining them, training the model, and testing it for performance. The model is designed to identify physical objects at the pixel level, with specific features like class activation maps and image augmentation operations.
Additionally, the patent outlines a system that implements the method described, utilizing processing circuits and memory to carry out the training process. The system follows a similar approach to the method, selecting datasets, feeding them into the model, training, and testing for performance. It also includes features like image augmentation operations, performance evaluation using a dice index, and the ability to provide labeled images based on the model's training. The system is designed to identify physical objects at the pixel level and generate class activation maps for classification.
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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.
