Lumen Technologies had two patents in robotics during Q1 2024. Lumen Technologies Inc has filed patents for improving computing services in a distributed network by using machine learning models to predict service requests and allocate computing resources accordingly. Another patent involves implementing an IoT-based microwell solution for irrigation, where sensors collect environmental data to determine water requirements, generate a water distribution plan, and instruct microwells to irrigate plants based on the plan. GlobalData’s report on Lumen Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Lumen Technologies had no grants in robotics as a theme in Q1 2024.
Recent Patents
Application: Predictive resource allocation in an edge computing network utilizing machine learning (Patent ID: US20240086252A1)
The patent filed by Lumen Technologies Inc. focuses on improving computing services in a distributed network of remote computing resources, particularly edge nodes in an edge compute network. The technology involves aggregating historical request data, training a machine learning model, generating predictions for requested services, identifying edge nodes based on physical location, and allocating computing resources accordingly. The method aims to reduce latency by predicting and preparing for computing service requests before they are made, enhancing efficiency and responsiveness in service provision.
The patent outlines a computer-implemented method and system for implementing this technology, including assigning unique identifiers to mobile computing devices, deploying various virtualized resources, and utilizing different types of edge nodes such as servers, GPUs, CPUs, and FPGAs. By leveraging machine learning models and historical data, the system can predict service requests, allocate resources preemptively, and optimize computing services based on predicted time and location. This approach enables the efficient delivery of computing services, reducing latency and enhancing overall performance in a distributed network environment.
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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.
