公开(公告)号：US20230169416A1

公开(公告)日：2023-06-01

申请号：US17894850

申请日：2022-08-24

Applicant: X Development LLC

Inventor： Michal Kazmierski ,  Haoyu Zhang ,  Szymon Zmyslony

IPC: G06Q10/06 ,  G06Q50/02 ,  G06Q10/04

CPC classification number: G06Q10/063 ,  G06Q10/04 ,  G06Q50/02

Abstract: Systems and methods for modeling a population density of a pest are provided. A computer implemented method for modeling a population density of a pest can include receiving environmental data corresponding to a first time point. The method can include generating model input data from the environmental data using a machine learning model. The method can also include generating a population density of the pest from the model input data using a mechanistic model. The population density can correspond to a second time point temporally after the first time point.

公开(公告)号：US20220087230A1

公开(公告)日：2022-03-24

申请号：US17379723

申请日：2021-07-19

Applicant: X Development LLC

Inventor： Haoyu Zhang ,  Szymon Zmyslony

IPC: A01K47/06 ,  G06N3/04 ,  G06N3/08 ,  G10L25/18

Abstract: Systems, methods, and non-transitory computer readable media are provided for monitoring the state of a periodic system. A computer implemented method for modeling a state of a periodic system includes inputting a spectrogram sequence to a machine-learning model trained to generate a latent representation from the spectrogram sequence. The spectrogram sequence includes a plurality of audio spectrograms representing sound generated by a periodic system. The method includes outputting the latent representation from the machine learning model. The method includes concatenating the latent representation with environmental data describing an environment of the periodic system, together defining an input sequence. The method includes inputting the input sequence to a predictor model trained to predict a state of the periodic system from the input sequence. The method also includes predicting the state of the periodic system with the predictor model.

公开(公告)号：US20240104432A1

公开(公告)日：2024-03-28

申请号：US18334215

申请日：2023-06-13

Applicant: X Development LLC

Inventor： Haoyu Zhang

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: In some embodiments, a computer-implemented method of training and using a machine learning model is provided. A computing system receives a plurality of sampling data values for a geographical area. The computing system creates an interpolated value map and a variance map for the geographical area using the plurality of sampling data values. The computing system trains a machine learning model using values of the interpolated value map as ground truth values and evaluating performance of the machine learning model using the variance map. The computing system stores the trained machine learning model in a model data store.

公开(公告)号：US20230385654A1

公开(公告)日：2023-11-30

申请号：US17824753

申请日：2022-05-25

Applicant: X Development LLC

Inventor： Bethany Johnson ,  Haoyu Zhang

IPC: G06N3/12

CPC classification number: G06N3/126 ,  A01M99/00

Abstract: Systems and methods for controlling a population of a pest are provided. A computer implemented method for controlling a population of a pest can include receiving population data describing a presence of a pest in a host environment at a first time. The method can include receiving environmental data describing the host environment over a prediction horizon including and temporally after the first time. The method can include generating an intervention action for the first time using the population data and the environmental data as inputs to a control model configured to output the intervention action as part of an optimization of the presence of the pest over the prediction horizon. The method can also include outputting the intervention action.