BT Group had 16 patents in artificial intelligence during Q1 2024. BT Group Plc filed patents in Q1 2024 for a device identification method, a machine learning algorithm for modeling target functions, an intrusion response system using knowledge-based and prediction-based components, a system for deciding placement of insertable image content on videos, and a method for clustering computer systems based on security events to apply protective measures. GlobalData’s report on BT Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.

BT Group grant share with artificial intelligence as a theme is 18% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Device identification (Patent ID: US20240102828A1)

The patent filed by BT Group Plc describes a device identification method, system, and prediction component based on power consumption data. The method involves predicting the identity of an active device at a premises in a future time period using power consumption data, detecting the actual identity of the device in that future time period, and determining the final identity based on the predicted and detected identities. The system includes components for prediction, detection, and decision-making based on the predicted or detected identities.

The method and system utilize machine learning techniques, such as hierarchical support vector machines and long short-term memory neural networks, to process power consumption data and generate device usage data. This data is then used to predict, detect, and determine the identity of active devices at a premises. The technology aims to improve device identification accuracy, determine device versions, and enable the provision of tailored services based on the identified devices within a network. Additionally, the patent covers the use of confidence scores, retraining of machine learning systems, and identification of previously unseen devices within a premises based on power consumption data.

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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.