{
  "patent_number": "US 12111744",
  "country": "US",
  "title": "Managing AI and Machine Learning on Many Devices from the Cloud",
  "original_title": "Cloud-based fleet and asset management for edge computing of machine learning and artificial intelligence workloads",
  "summary": "This patent describes a system for remotely monitoring and updating artificial intelligence and machine learning programs running on a large collection of smart devices, like robots or sensors, from a central cloud system.",
  "what_it_does": "This patent details a system for managing a 'fleet' of edge devices, which are small computers or sensors that perform tasks locally. It works by receiving monitoring information about AI or machine learning programs running on these edge compute units, as described in claim 1. It also collects status information from connected edge assets, such as cameras or environmental sensors. All this data is shown on a remote graphical user interface (GUI) in a cloud environment, allowing a user to see how a selected group of devices is performing. The user can then provide input through the GUI to update the configuration of an AI or machine learning workload on specific edge devices. For example, a user could tell a group of factory robots to update their object recognition model (a pre-trained ML model) to better identify new product defects, with the cloud system transmitting the necessary control information, as outlined in claim 1.",
  "what_it_does_not_cover": [
    "Does not cover managing individual edge devices without a central cloud-based GUI for fleet-wide oversight and configuration.",
    "Does not cover systems where the AI/ML model updates are not initiated by a user configuration input received via a remote GUI.",
    "Does not cover edge device management where the updated configuration is not specifically for a pre-trained ML or AI model or network connectivity.",
    "Does not cover systems that only monitor edge devices without the capability to transmit control information for updated configurations.",
    "Does not cover local, on-device management of AI/ML workloads without interaction with a cloud computing environment."
  ],
  "filed": "2024-01-08",
  "granted": "2024-10-08",
  "expires": "2044-01-08",
  "status": "active",
  "holder": "Armada Systems",
  "holder_url": "https://patentbrief.org/company/armada-systems",
  "inventors": [
    {
      "name": "Janardhan Prabhakara",
      "url": "https://patentbrief.org/inventor/janardhan-prabhakara"
    },
    {
      "name": "Pragyana K Mishra",
      "url": "https://patentbrief.org/inventor/pragyana-k-mishra"
    },
    {
      "name": "Anish Swaminathan",
      "url": "https://patentbrief.org/inventor/anish-swaminathan"
    },
    {
      "name": "Pradeep Nair",
      "url": "https://patentbrief.org/inventor/pradeep-nair"
    }
  ],
  "times_cited": 5,
  "tags": [
    "consumer_electronics",
    "software",
    "telecommunications",
    "ai_ml",
    "automotive",
    "industrial_iot"
  ],
  "abstract": "An apparatus can be configured to receive monitoring information associated with a machine learning (ML) or artificial intelligence (AI) workload implemented by an edge compute unit of a plurality of edge compute units. Status information corresponding to a plurality of connected edge assets can be received, the plurality of edge compute units and connected edge assets included in a fleet of edge devices. A remote fleet management graphical user interface (GUI) can display a portion of the monitoring or status information for a subset of the fleet of edge devices, based on a user selection input, and can receive a user configuration input indicative of an updated configuration for at least one workload corresponding to a pre-trained ML or AI model deployed on the at least one edge compute unit. A cloud computing environment can transmit control information corresponding to the updated configuration to the at least one edge compute unit.",
  "url": "https://patentbrief.org/patent/us/12111744/cloud-based-fleet-and-asset-management-for-edge-computing-of-machine-learning-an-12111744",
  "markdown_url": "https://patentbrief.org/patent/us/12111744/cloud-based-fleet-and-asset-management-for-edge-computing-of-machine-learning-an-12111744/md",
  "google_patents_url": "https://patents.google.com/patent/US12111744",
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}