公开(公告)号：US20240256866A1

公开(公告)日：2024-08-01

申请号：US18446964

申请日：2023-08-09

Applicant: Raytheon Company

Inventor： James Ryland ,  Philip A. Sallee ,  Steven D. Werner

IPC: G06N3/08 ,  G06N3/0475 ,  G06T15/50 ,  G06T19/00

CPC classification number: G06N3/08 ,  G06N3/0475 ,  G06T15/50 ,  G06T19/00

Abstract: Embodiments regard improving machine learning (ML) training dataset generation. A method includes receiving or generating, by a scene editor, an image, augmenting, using procedural generation, the image to include a three-dimensional (3D) model of an object resulting in a synthetic image, and generating, by a generative model and based on the synthetic image, a realistic image.

公开(公告)号：US11914967B2

公开(公告)日：2024-02-27

申请号：US16913365

申请日：2020-06-26

Applicant: Raytheon Company

Inventor： Steven D. Werner ,  Robert D. Stell ,  Christine Nezda ,  Kevin C. Holley

IPC: G06F40/40 ,  G06N5/04 ,  G06N20/00

CPC classification number: G06F40/40 ,  G06N5/04 ,  G06N20/00

Abstract: Discussed herein are devices, systems, and methods for determining an answer to a natural language question. A method can include receiving a question and a passage to be used to answer the question and executing (i) a first trained ML model, based on the passage and the question and in response to determining that the question, passage, or a combination thereof includes more than a first threshold number of out of vocabulary (OOV) words, relative to a general purpose language ML model, to generate a first answer to the question or (ii) executing a second trained ML model, based on the passage and the question and in response to determining the question, passage, or a combination thereof includes less than the first threshold number of out of vocabulary (OOV) words, relative to the general purpose language ML model, to generate a second answer to the question.

公开(公告)号：US20210406479A1

公开(公告)日：2021-12-30

申请号：US16913365

申请日：2020-06-26

Applicant: Raytheon Company

Inventor： Steven D. Werner ,  Robert D. Stell ,  Christine Nezda ,  Kevin C. Holley

IPC: G06F40/40 ,  G06N20/00 ,  G06N5/04

Abstract: Discussed herein are devices, systems, and methods for determining an answer to a natural language question. A method can include receiving a question and a passage to be used to answer the question and executing (i) a first trained ML model, based on the passage and the question and in response to determining that the question, passage, or a combination thereof includes more than a first threshold number of out of vocabulary (OOV) words, relative to a general purpose language ML model, to generate a first answer to the question or (ii) executing a second trained ML model, based on the passage and the question and in response to determining the question, passage, or a combination thereof includes less than the first threshold number of out of vocabulary (OOV) words, relative to the general purpose language ML model, to generate a second answer to the question.