{
  "patent_number": "US 11488063",
  "country": "US",
  "title": "How AI Helps Pilots Talk to Flight Management Systems",
  "original_title": "Systems and methods for cognitive services of a connected FMS or avionics SaaS platform",
  "summary": "A system that uses artificial intelligence to understand pilot requests and automatically trigger the right flight data or software services.",
  "what_it_does": "This patent describes a way to make flight management systems (FMS) smarter by using reinforcement learning—a type of AI that learns by trial and error. When a pilot or crew member sends a query, the system uses one AI model to figure out the intent, context, and even the emotion behind the request. A second AI model then decides which specific software tools, databases, or third-party services are needed to answer that request. For example, if a pilot asks about a specific maintenance issue, the system identifies the intent, pulls data from aircraft maintenance databases, and presents the relevant information back to the pilot.",
  "what_it_does_not_cover": [
    "Does not cover basic voice-to-text systems that lack reinforcement learning-based intent analysis.",
    "Does not cover systems that rely solely on hard-coded rules or decision trees rather than machine learning.",
    "Does not cover the physical hardware of the flight management system itself.",
    "Does not cover general-purpose AI assistants like Siri or Alexa that are not integrated with aviation-specific FMS data."
  ],
  "filed": "2020-02-28",
  "granted": "2022-11-01",
  "expires": null,
  "status": "active",
  "holder": "Honeywell International Inc",
  "holder_url": "https://patentbrief.org/company/honeywell-international-inc",
  "inventors": [
    {
      "name": "Kirupakar Janakiraman",
      "url": "https://patentbrief.org/inventor/kirupakar-janakiraman"
    },
    {
      "name": "Rajeev Mohan",
      "url": "https://patentbrief.org/inventor/rajeev-mohan"
    },
    {
      "name": "Ramkumar Rajendran",
      "url": "https://patentbrief.org/inventor/ramkumar-rajendran"
    }
  ],
  "times_cited": 0,
  "tags": [
    "aerospace",
    "ai_ml",
    "software"
  ],
  "abstract": "Disclosed are methods, systems, and non-transitory computer-readable medium for cognitive services for a FMS SaaS platform. For instance, the method may include obtaining training data; training reinforcement learning model(s) using the obtained training data; in response to receiving a request for cognitive services from a user device, analyzing a query of the request for cognitive services using at least one reinforcement learning model of the trained reinforcement learning model(s); determining intent, entity(s), emotion, and/or context of the query based on an output of the at least one reinforcement learning model to form a cognitive services request; applying a second at least one reinforcement learning model of the trained reinforcement learning model(s) to the cognitive services request to determine one or more services to invoke; and transmitting a result to the user device based on an output of the one of more invoked services.",
  "url": "https://patentbrief.org/patent/us/11488063/chinchilla-scaling-laws",
  "markdown_url": "https://patentbrief.org/patent/us/11488063/chinchilla-scaling-laws/md",
  "google_patents_url": "https://patents.google.com/patent/US11488063",
  "relatedPatents": []
}