Intel had 59 patents in cloud during Q4 2023. Intel Corp’s Q4 2023 patents include technologies for cloud-based artificial intelligence overclocking, unified address translation for virtualization of input/output devices, resource allocation across data centers, adaptive resolution and viewpoint-prediction for immersive media, and a compute system with an Internet of things (IoT) device for creating a self-managing network. GlobalData’s report on Intel gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Intel grant share with cloud as a theme is 42% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Methods and apparatus to perform cloud-based artificial intelligence overclocking (Patent ID: US20230418622A1)
The patent filed by Intel Corp. describes systems and methods for cloud-based artificial intelligence overclocking. The technology involves collecting workload information, generating an output from an AI model based on this information to determine an overclocking frequency value for a compute platform, and then performing overclocking based on this value. The apparatus includes interface circuitry, machine-readable instructions, and programmable circuitry to execute these functions. The AI model can be tuned by determining the importance of features associated with overclocking performance and minimizing them accordingly.
The patent also covers the use of system telemetry data, such as voltage, temperature, and power data, in the workload information. It details the process of obtaining a local copy of the AI model, executing it based on workload information, and transmitting data to a model generator for output generation. Additionally, the patent discusses the training of the AI model by a cloud-based entity and the subsequent tuning of the model to optimize overclocking performance. The method outlined in the patent involves collecting workload information, generating an output from an AI model, and performing overclocking based on the determined frequency value. It also includes steps for obtaining a local copy of the AI model, transmitting data to a model generator, and tuning the AI model by minimizing features based on their importance for overclocking performance.
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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.
