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.

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.

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.

公开(公告)号：US11706111B1

公开(公告)日：2023-07-18

申请号：US17732957

申请日：2022-04-29

Applicant: X Development LLC

Inventor： John Michael Stivoric ,  David Andre ,  Ryan Butterfoss ,  Rebecca Radkoff ,  Salil Vijaykumar Pradhan ,  Grace Taixi Brentano ,  Lam Thanh Nguyen

IPC: H04L43/065 ,  H04L41/0604 ,  H04L41/12 ,  H04L43/0817

CPC classification number: H04L43/065 ,  H04L41/0627 ,  H04L41/12 ,  H04L43/0817

Abstract: Implementations are directed to improving network anti-fragility. In some aspects, a method includes receiving parameter data from a network of nodes, the parameter data comprising attributes, policies, and action spaces for each node in the network of nodes; configuring one or more interruptive events on one or more nodes included in the network of nodes; determining a first action of each node in the network of nodes in response to the one or more interruptive events; determining a first performance metric, for each node, that corresponds to the first action, wherein the first performance matric is determined based on at least a first reward value associated with the first action; continuously updating the first action in an iterative process to obtain a final action, wherein a performance metric corresponding to the final action satisfies a performance threshold, and transmitting the final action for each node to the network of nodes.

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

IPC: G06Q10/08 ,  G06Q10/06 ,  G06Q30/06

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.

公开(公告)号：US10685295B1

公开(公告)日：2020-06-16

申请号：US15859077

申请日：2017-12-29

Applicant: X Development LLC

Inventor： Jonathan Ross ,  John Michael Stivoric

IPC: G06N20/00 ,  G06F9/50 ,  G06F9/48 ,  G06F8/41

Abstract: A method for allocating resources for a machine learning model is disclosed. A machine learning model to be executed on a special purpose machine learning model processor is received. A computational data graph is generated from the machine learning model. The computational dataflow graph represents the machine learning model which includes nodes, connector directed edges, and parameter directed edges. The operations of the computational dataflow graph is scheduled and then compiled using a deterministic instruction set architecture that specifies functionality of a special purpose machine learning model processor. An amount of resources required to execute the computational dataflow graph is determined. Resources are allocated based on the determined amounts of resources required to execute the machine learning model represented by the computational dataflow graph.