{
  "patent_number": "US 11876858",
  "country": "US",
  "title": "Managing and Updating AI on Many Smart 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 models running on a fleet of connected smart devices, like factory robots or smart cameras, all managed from a central cloud-based control panel.",
  "what_it_does": "This patent describes a method for managing many smart devices, called a 'fleet of edge devices,' that run artificial intelligence (AI) or machine learning (ML) programs. It works by receiving 'monitoring information' about the AI programs and 'status information' from each device (Claim 1). This information is then shown on a 'remote fleet management graphical user interface (GUI)' in the cloud, allowing a user to see what's happening with a selected group of devices. The user can then provide 'user configuration inputs' through this GUI to update how an AI program works on one or more devices. For example, a user could tell a group of smart cameras to collectively 'retrain' their object recognition AI model using new data they've collected, with the cloud system sending 'orchestration information' to coordinate this distributed retraining (Claim 1). The system can also manage local retraining or fine-tuning of models on individual edge devices (Claim 4, 7).",
  "what_it_does_not_cover": [
    "Does not cover managing a single edge device; it specifically requires a 'fleet of edge devices' (Claim 1).",
    "Does not cover managing devices that do not implement 'machine learning (ML) or artificial intelligence (AI) workloads' (Claim 1).",
    "Does not cover systems where the AI models are not 'pre-trained' before being deployed to the edge compute units (Claim 1).",
    "Does not cover local management of edge devices without a 'remote fleet management graphical user interface (GUI)' in a cloud environment (Claim 1).",
    "Does not cover systems where the updated configuration is not related to retraining or finetuning a pre-trained ML/AI model (Claim 1, 4, 7, 10).",
    "Does not cover systems that only monitor edge devices without the ability to transmit control information for updated configurations (Claim 1)."
  ],
  "filed": "2023-09-05",
  "granted": "2024-01-16",
  "expires": "2043-09-05",
  "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": 21,
  "tags": [
    "ai_ml",
    "cloud_computing",
    "telecommunications",
    "consumer_electronics",
    "automotive",
    "industrial_iot",
    "software"
  ],
  "abstract": "A process can include receiving 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/11876858/cloud-based-fleet-and-asset-management-for-edge-computing-of-machine-learning-an",
  "markdown_url": "https://patentbrief.org/patent/us/11876858/cloud-based-fleet-and-asset-management-for-edge-computing-of-machine-learning-an/md",
  "google_patents_url": "https://patents.google.com/patent/US11876858",
  "relatedPatents": []
}