Intel had 236 patents in cybersecurity during Q2 2024. Intel Corp’s Q2 2024 patents focus on enhancing security and processing capabilities. This includes techniques for generating secure video, protecting secret input data, and reconstructing traffic scenes with anomalies. The patents also cover methods for authenticated code execution and secure processing of data within enclaves. Additionally, there are advancements in generating output data samples from input data samples using a diffusion model. GlobalData’s report on Intel gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Intel had no grants in cybersecurity as a theme in Q2 2024.
Recent Patents
Application: Traffic anomaly scene reconstruction (Patent ID: US20240212083A1)
The patent filed by Intel Corp describes an apparatus that generates a digital twin of a traffic scene, incorporating information related to traffic anomalies received from traffic actors. The processing circuitry fuses the anomaly information and reconstructs the scene using the digital twin. The apparatus can identify individual anomalies, request additional information from witness actors, and interact with autonomous actors to gather sensor data for scene reconstruction.
The apparatus can also group wireless devices with traffic actors, broadcast messages to store anomaly information, and identify potential witness actors for detailed reports. The processing circuitry can be located at the edge or in the cloud, and the information related to anomalies can include object lists or sensor data. Additionally, a component of the apparatus includes processing circuitry and instructions stored on a non-transitory computer-readable storage medium to generate a digital twin, fuse anomaly information, and reconstruct the traffic scene. The component can also identify witness actors, request additional information, and interact with autonomous actors to enhance scene reconstruction.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
