公开(公告)号：US20220290989A1

公开(公告)日：2022-09-15

申请号：US17200023

申请日：2021-03-12

Applicant: X Development LLC

Inventor： Grigory Bronevetsky ,  Charlotte Leroy ,  Bin Ni ,  Hongxu Ma ,  Gengchen Mai

IPC: G01C15/00 ,  G06N3/04 ,  G01C13/00

Abstract: Implementations are described herein for leveraging teleconnections and location embeddings to predict geospatial measures for a geographic location of interest. In various implementations, a plurality of reference geographic locations may be identified that are disparate from a geographic location of interest and influence a geospatial measure in the geographic location of interest. One or more features may be extracted from each of the plurality of reference geographic locations. The extracted features and a location embedding generated for the geographic location of interest may be encoded into a joint embedding. A sequence encoder may be applied to the joint embedding to generate encoded data indicative of the predicted geospatial measure.

公开(公告)号：US20220292330A1

公开(公告)日：2022-09-15

申请号：US17200097

申请日：2021-03-12

Applicant: X Development LLC

Inventor： Hongxu Ma ,  Gengchen Mai ,  Bin Ni

IPC: G06N3/04 ,  G06N3/08 ,  G06F16/29

Abstract: Implementations are described herein for generating location embeddings that capture spatial dependence and heterogeneity of data, making the embeddings suitable for downstream statistical analysis and/or machine learning processing. In various implementations, a position coordinate for a geographic location of interest may be processed using a spatial dependence encoder to generate a first location embedding that captures spatial dependence of geospatial measure(s) for the geographic location of interest. The position coordinate may also be processed using a spatial heterogeneity encoder to generate a second location embedding that captures spatial heterogeneity of the geospatial measure(s) for the geographic location. A combined embedding corresponding to the geographic location may be generated based on the first and second location embeddings. The combined embedding may be processed using a function to determine a prediction for one or more of the geospatial measures of the geographic location of interest.