公开(公告)号：US20240202654A1

公开(公告)日：2024-06-20

申请号：US18460872

申请日：2023-09-05

Applicant: X Development LLC

Inventor： Yangli Hector Yee ,  Julia Black Ling ,  Antoni Jordi Ballester ,  Bertrand Louis Rene Delorme ,  Alexandre Szenicer

IPC: G06Q10/0835 ,  G06F30/20

CPC classification number: G06Q10/08355 ,  G06F30/20

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining elements of a shipping network. One of the methods includes obtaining environmental input data, wherein the environmental input data includes weather forecast data; providing the environmental input data to a circulation model; and providing output environmental condition from the circulation model to a machine learning model trained to generate a route for a ship.

公开(公告)号：US20240061977A1

公开(公告)日：2024-02-22

申请号：US17890150

申请日：2022-08-17

Applicant: X Development LLC

Inventor： Julia Black Ling ,  Heather Thorne ,  Bertrand Louis Rene Delorme ,  Pedro Milani

IPC: G06F30/27

CPC classification number: G06F30/27 ,  G06F2113/08

Abstract: In an aspect, there is provided a method that includes: obtaining a physics-based ocean simulation model that specifies multiple simulation parameters, obtaining data characterizing an ocean in a geographical region, determining initial values of the simulation parameters based on data characterizing the ocean in the geographical region, and determining adjusted values of the simulation parameters. Determining adjusted values can include performing a simulation using the initial values of the simulation parameters to determine an initial simulation output, evaluating a task-specific objective function that is based on a measure of disagreement between: (i) the initial simulation output, and (ii) a target value for the ocean in the geographical region, and determining adjusted values of the simulation parameters of the physics-based ocean simulation model.

公开(公告)号：US20240354666A1

公开(公告)日：2024-10-24

申请号：US18465016

申请日：2023-09-11

Applicant: X Development LLC

Inventor： Antoni Jordi Ballester ,  Bertrand Louis Rene Delorme ,  Alexandre Szenicer ,  Julia Black Ling ,  Bianca Bahman ,  Yangli Hector Yee

IPC: G06Q10/047 ,  G06Q10/083

CPC classification number: G06Q10/047 ,  G06Q10/083

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining elements of a shipping network. One of the methods includes obtaining environmental input data, wherein the environmental input data includes weather forecast data; providing the environmental input data to a circulation model; and providing output environmental condition from the circulation model to a machine learning model trained to generate a route for a ship.

公开(公告)号：US20240202655A1

公开(公告)日：2024-06-20

申请号：US18463842

申请日：2023-09-08

Applicant: X Development LLC

Inventor： Antoni Jordi Ballester ,  Alexandre Szenicer ,  Bertrand Louis Rene Delorme ,  Yangli Hector Yee ,  Julia Black Ling

IPC: G06Q10/0835

CPC classification number: G06Q10/08355

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining elements of a shipping network. One of the methods includes obtaining environmental input data, wherein the environmental input data includes weather forecast data; providing the environmental input data to a circulation model; and providing output environmental condition from the circulation model to a machine learning model trained to generate a route for a ship.

公开(公告)号：US20240070464A1

公开(公告)日：2024-02-29

申请号：US18453226

申请日：2023-08-21

Applicant: X Development LLC

Inventor： Alexandre Szenicer ,  Bertrand Louis Rene Delorme ,  Antoni Jordi Ballester ,  Julia Black Ling

IPC: G06N3/084

CPC classification number: G06N3/084

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for combining a simulator and neural network for predictions, such as predictions of Harmful Algal Bloom (HAB). One of the methods includes obtaining an estimate of a first number of marine-life cells representative of growth of the marine-life within a first region; providing the estimate to a prediction system that comprises (i) an ocean simulator and (ii) a trained network model, wherein the trained network model is trained to provide an indication of marine-life change using output from the ocean simulator; obtaining output from the prediction system, wherein the output indicates a second number of cells representative of growth of the marine-life within a second region; comparing the output to an output threshold; and in response to the output satisfying the output threshold, performing an action.

公开(公告)号：US20240062538A1

公开(公告)日：2024-02-22

申请号：US18234528

申请日：2023-08-16

Applicant: X Development LLC

Inventor： Bianca Bahman ,  Bertrand Louis Rene Delorme ,  Antoni Jordi Ballester

IPC: G06V20/05 ,  G06V40/10 ,  A01K61/95 ,  A01K61/80

CPC classification number: G06V20/05 ,  G06V40/10 ,  A01K61/95 ,  A01K61/80

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for obtaining a plurality of images from at least one imaging device in an aquaculture environment and determining a statistical distribution of the livestock in the aquaculture environment from the plurality of images. Based on the statistical distribution, a location of a thermocline in the aquaculture environment can be determined. A signal indicative of the location of the thermocline can be provided to an aquaculture management device in the aquaculture environment.

公开(公告)号：US20240062114A1

公开(公告)日：2024-02-22

申请号：US18452044

申请日：2023-08-18

Applicant: X Development LLC

Inventor： Bertrand Louis Rene Delorme ,  Alexandre Szenicer ,  Antoni Jordi Ballester ,  Bianca Bahman ,  Julia Black Ling

IPC: G06N20/00 ,  B64G1/10 ,  A01G33/00

CPC classification number: G06N20/00 ,  B64G1/1021 ,  A01G33/00 ,  G06Q50/02

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting features of an aquatic ecosystem. One of the methods includes generating, using ground truth data, first training input, wherein the first training input includes training labels; generating an augmented dataset from multiple data sources as second training input, wherein the augmented dataset is generated using (i) bathymetric data and (ii) simulated data based on satellite data indicating one or more coastal ecosystems; and training the machine learning model using (i) the first training input and (ii) second training input, such that the machine learning model is trained to predict biomass growth.