SAP had three patents in internet of things during Q1 2024. SAP SE’s patent filed in Q1 2024 focuses on defining, deploying, and using distributed neural networks. The network includes various computing elements, such as IoT devices, to process data requests. Techniques are provided to manage requests in case of unreachable computing elements and redefine the network accordingly. Configuration information for computing elements includes input providers, weights, output receivers, and activation functions. GlobalData’s report on SAP gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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SAP grant share with internet of things as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Distributed neural network (Patent ID: US20240104359A1)
The patent filed by SAP SE introduces techniques for defining, deploying, and utilizing distributed neural networks consisting of various computing elements, including IoT devices. The distributed neural network operates by assigning specific computing elements as neurons, managing data processing requests in case of unavailability of certain elements, and redefining the network structure to replace missing elements. Information to configure computing elements as neurons includes input providers, weights for inputs, output receivers, and activation functions.
The patent claims detail a computing system that receives neural network definitions, assigns computing elements as neurons, and sends information to these elements for processing data. The system can handle unavailability of computing elements by reassigning functions to other elements and processing data requests despite missing neurons. Additionally, the patent covers methods for implementing distributed neural networks on IoT devices, utilizing hardware sensors for data processing, and sending data processing requests through the network. The patent also includes computer-readable storage media with instructions for configuring computing elements as neurons, managing unavailability of elements, and implementing distributed neural networks across various computing elements.
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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.
