NEC had 413 patents in artificial intelligence during Q2 2024. NEC Corp filed patents in Q2 2024 for a learning apparatus that generates training data for machine learning models, an image processing device for lesion analysis, a chatbot system for efficient dialogue, a method for providing event-specific intervention recommendations, and a method for identifying attack origins using causal graphs. GlobalData’s report on NEC gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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NEC had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Learning apparatus, learning method, and program (Patent ID: US20240211808A1)
The patent filed by NEC Corp describes a learning apparatus that generates training data for machine learning models. The apparatus includes units to create first training data with a vector as the target variable, generate second training data where the magnitude differences between elements of the vector are increased, and then use both sets of data to train a machine learning model. The method involves setting values of elements in the second training data to amplify differences based on preset criteria, such as increasing the value of the largest element or adjusting the softmax function parameter. The model is generated by combining the first and second training data based on a specified ratio and loss function calculation.
Overall, the patent outlines a method and system for enhancing machine learning model training by manipulating training data to emphasize differences between elements in the vector. By adjusting the values of elements in the second training data, the apparatus aims to improve the learning process and model performance. The approach involves generating training data, setting element values to increase differences, and utilizing a specific ratio and loss function to create an optimized machine learning model. This innovation could potentially lead to more efficient and accurate machine learning applications in various fields.
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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.
