MEASURING ATMOSPHERIC CONDITIONS USING MACHINE LEARNING

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United States of America Patent

APP PUB NO 20200142094A1
SERIAL NO

16181278

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining atmospheric conditions. In one aspect, a method includes receiving data relating to atmospheric conditions collected at a particular altitude located within the stratosphere, providing the data to a machine-learned model that has been trained using a training data set collected in a controlled environment, determining, by the machine-learned model, atmospheric conditions data for the particular altitude based on the data collected for the particular altitude and storing the atmospheric conditions data for the particular altitude.

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Patent Owner(s)

Patent OwnerAddress
LOON LLC1600 AMPHITHEATRE PARKWAY MOUNTAIN VIEW CA 94043

International Classification(s)

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  • 2018 Application Filing Year
  • G06N Class
  • 10434 Applications Filed
  • 6500 Patents Issued To-Date
  • 62.30 % Issued To-Date
Click to zoom InYear of Issuance% of Matters IssuedCumulative IssuancesYearly Issuances201820192020202120222023202420250255075100

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Behroozi, Cyrus Menlo Park, US 69 934
George, Daniel Mountain View, US 12 9

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  • 3 Citation Count
  • G06N Class
  • 43.11 % this patent is cited more than
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Citation count rangeNumber of patents cited in rangeNumber of patents cited in various citation count ranges1441661742101 - 1011 - 2021 - 3031 - 4091 - 1000102030405060708090100110120130140150160170180

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