Loading patent…
AssigneeThe Boeing Company
InventorsAndrés Muñoz Hernández, Manuel Polaina Morales, Alejandro Güemes Jimenez
Estimating the term…
Apparatuses, methods, systems, and program products are disclosed for compression and distribution of meteorological data using machine learning. An apparatus includes a processor and a memory that stores code executable by the processor to receive a raw meteorological data set for a time frame, the raw meteorological data set comprising a plurality of dimensions. The code is executable by the processor to compress the raw meteorological data set using a machine learning encoding model to create an encoded meteorological data set that has a storage size that is smaller than a storage size of the raw meteorological data set, wherein the encoded meteorological data set can be decoded to create a decoded meteorological data set that is substantially similar to the raw meteorological data set. The code is executable by the processor to make the encoded meteorological data set accessible to one or more end users.
An apparatus, comprising:
A method, comprising:
A program product comprising a non-transitory computer readable storage medium storing code comprising instructions which, when the program product is executed by a processor, cause the processor to perform operations comprising:
Dependencies are inferred from the claim text.