MEASURING ATMOSPHERIC CONDITIONS USING MACHINE LEARNING
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
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N/A
Issued Date -
May 7, 2020
app pub date -
Nov 5, 2018
filing date -
Nov 5, 2018
priority date (Note) -
Published
status (Latency Note)
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Abstract
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.
First Claim
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Family

- 15 United States
- 10 France
- 8 Japan
- 7 China
- 5 Korea
- 2 Other
Patent Owner(s)
Patent Owner | Address | |
---|---|---|
LOON LLC | 1600 AMPHITHEATRE PARKWAY MOUNTAIN VIEW CA 94043 |
International Classification(s)

- 2018 Application Filing Year
- G06N Class
- 10434 Applications Filed
- 6500 Patents Issued To-Date
- 62.30 % Issued To-Date
Inventor(s)
Inventor Name | Address | # of filed Patents | Total Citations |
---|---|---|---|
Behroozi, Cyrus | Menlo Park, US | 69 | 934 |
# of filed Patents : 69 Total Citations : 934 | |||
George, Daniel | Mountain View, US | 12 | 9 |
# of filed Patents : 12 Total Citations : 9 |
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Patent Citation Ranking
- 3 Citation Count
- G06N Class
- 43.11 % this patent is cited more than
- 5 Age
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