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公开(公告)号：US20200371778A1
公开(公告)日：2020-11-26
申请号：US16418767
申请日：2019-05-21
Applicant: X Development LLC
Inventor： Bin Ni , Benoit Schillings , Georgios Evangelopoulos , Olivia Hatalsky , Qianyu Zhang , Grigory Bronevetsky
Abstract: Implementations are described herein for automatically identifying, recommending, and/or effecting changes to a legacy source code base by leveraging knowledge gained from prior updates made to other similar legacy code bases. In some implementations, data associated with a first version source code snippet may be applied as input across a machine learning model to generate a new source code embedding in a latent space. Reference embedding(s) may be identified in the latent space based on their distance(s) from the new source code embedding in the latent space. The reference embedding(s) may be associated with individual changes made during the prior code base update(s). Based on the identified one or more reference embeddings, change(s) to be made to the first version source code snippet to create a second version source code snippet may be identified, recommended, and/or effected.
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公开(公告)号：US20230144113A1
公开(公告)日：2023-05-11
申请号：US17984185
申请日：2022-11-09
Applicant: X Development LLC
Inventor： Salil Vijaykumar Pradhan , Grigory Bronevetsky , Ryan Butterfoss , Rebecca Radkoff , David Andre , Randolph Preston McAfee , John Michael Stivoric , Grace Taixi Brentano , Sze Man Lee
CPC classification number: G06Q10/08345 , G06Q10/067 , G06Q30/0611
Abstract: Methods and systems including receiving a plurality of shipping bids from a plurality of shipping entities, each entity having goods to ship from locations to destinations, wherein each bid represents an option to ship goods at a shipping price, and wherein each bid comprises a plurality of shipping parameters; receiving a plurality of carrier bids from a plurality of carrier entities, each entity transporting the goods, wherein each bid represents an option to transport the goods at a price, and wherein each bid comprises a plurality of carrier parameters; performing a matching process to generate a plurality of pair-wise partial matches, wherein each match associates a shipping and carrier bid at a modified price, wherein the modified price is based on a deviation between the parameters; providing information representing the matches to the shipping and carrier entities; and generating training data representing which matches were exercised.
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公开(公告)号：US20210405252A1
公开(公告)日：2021-12-30
申请号：US16911278
申请日：2020-06-24
Applicant: X Development LLC
Inventor： Hongxu Ma , Kunxiaojia Yuan , Fa Li , Charlotte Leroy , Grigory Bronevetsky
Abstract: Implementations are described herein for predicting a future climate condition in an agricultural area. In various implementations, a teleconnection model may be applied to a dataset of remote climate conditions such as water surface temperatures to identify one or more of the most influential remote climate conditions on the future climate condition in the agricultural area. A trained machine learning model may be applied to the one or more most influential remote climate conditions and to historical climate data for the agricultural area to generate data indicative of the predicted future climate condition. Based on the data indicative of the predicted future climate condition, one or more output components may be caused to render output that conveys the predicted future climate condition.
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公开(公告)号：US20250029044A1
公开(公告)日：2025-01-23
申请号：US18776107
申请日：2024-07-17
Applicant: X Development LLC
Inventor： Grigory Bronevetsky , Salil Vijaykumar Pradhan , John Michael Stivoric , Dominic Deshawn Williams , Kaitlin Marie Boisseree , Dhruv Singal , Ashish Jagmohan Chona
IPC: G06Q10/0637
Abstract: A method includes generating a greenhouse gas (GHG) mitigation credit including identifying a set of tasks to be completed by a respective set of first entities that collectively generate a GHG mitigation having a set of GHG mitigation parameters; receiving, from a second entity, a request for a GHG credit acquisition for the GHG mitigation credit; in response to receiving the request, executing the request for the GHG credit acquisition and providing the GHG mitigation credit to the second entity; and providing, to at least one of the set of first entities, instructions to cause the at least one of the set of first entities to execute a respective task of the set of tasks.
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Patent Agency Ranking
公开(公告)号：US20250029042A1
公开(公告)日：2025-01-23
申请号：US18776120
申请日：2024-07-17
Applicant: X Development LLC
Inventor： Grigory Bronevetsky , Salil Vijaykumar Pradhan , John Michael Stivoric , Dominic Deshawn Williams , Kaitlyn Boisseree , Dhruv Singal , Ashish Jagmohan Chona
IPC: G06Q10/0635 , G06Q10/0631
Abstract: A method includes: generating a set of tasks; determining, by a machine learning model and based on multiple data types from multiple sources, that an overall risk score exceeds a first failure threshold due to a risk score of a task exceeding a second threshold; selecting a replacement task for the task, the selecting including: receiving, replacement candidates, each replacement candidate including a candidate offset potential and one or more candidate failure mechanisms; assigning, by the machine learning model and to each of the replacement candidates, a replacement score for the replacement candidate based on a failure correlation of the replacement candidate with respect to each other sets of the set of tasks; ranking the replacement candidates based on the replacement scores; and selecting, based on the ranking, the replacement task; and generating, an updated set of tasks including the replacement task.
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公开(公告)号：US20230351310A1
公开(公告)日：2023-11-02
申请号：US18193045
申请日：2023-03-30
Applicant: X Development LLC
Inventor： Grigory Bronevetsky , Salil Vijaykumar Pradhan , John Michael Stivoric , Randolph Preston McAfee , Sze Man Lee , Christine Grace Haaf
IPC: G06Q10/083 , G06F30/20
CPC classification number: G06Q10/083 , G06F30/20
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for planning shipping logistics routes. A computer-implemented method includes: receiving a request for a first shipment to occur during a first time duration, the request being provided by a requestor; obtaining shipment data representing scheduled shipments to occur during a second time duration, the second time duration overlapping the first time duration; providing the request for the first shipment and the shipment data as input to a shipping model; obtaining, as output from the shipping model, simulation results including predicted shipments during the second time duration, the predicted shipments including the first shipment and the scheduled shipments, the simulation results including predicted movements of shipping resources executing the predicted shipments during the second time duration; and assigning shipping resources to the predicted shipments based on the simulation results.
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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
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.
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公开(公告)号：US20220120934A1
公开(公告)日：2022-04-21
申请号：US17567448
申请日：2022-01-03
Applicant: X Development LLC
Inventor： Hongxu Ma , Kunxiaojia Yuan , Fa Li , Charlotte Leroy , Grigory Bronevetsky
Abstract: Implementations are described herein for predicting a future climate condition in an agricultural area. In various implementations, a teleconnection model may be applied to a dataset of remote climate conditions such as water surface temperatures to identify one or more of the most influential remote climate conditions on the future climate condition in the agricultural area. A trained machine learning model may be applied to the one or more most influential remote climate conditions and to historical climate data for the agricultural area to generate data indicative of the predicted future climate condition. Based on the data indicative of the predicted future climate condition, one or more output components may be caused to render output that conveys the predicted future climate condition.
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公开(公告)号：US11243332B2
公开(公告)日：2022-02-08
申请号：US16911278
申请日：2020-06-24
Applicant: X Development LLC
Inventor： Hongxu Ma , Kunxiaojia Yuan , Fa Li , Charlotte Leroy , Grigory Bronevetsky
Abstract: Implementations are described herein for predicting a future climate condition in an agricultural area. In various implementations, a teleconnection model may be applied to a dataset of remote climate conditions such as water surface temperatures to identify one or more of the most influential remote climate conditions on the future climate condition in the agricultural area. A trained machine learning model may be applied to the one or more most influential remote climate conditions and to historical climate data for the agricultural area to generate data indicative of the predicted future climate condition. Based on the data indicative of the predicted future climate condition, one or more output components may be caused to render output that conveys the predicted future climate condition.
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