公开(公告)号：US20250053750A1

公开(公告)日：2025-02-13

申请号：US18791514

申请日：2024-08-01

Applicant: Hitachi, Ltd.

Inventor： Kohei MATSUSHITA ,  Masaki HAMAMOTO ,  Masayoshi MASE ,  Masashi EGI

IPC: G06F40/35

Abstract: A computer system stores a large-scale language model that receives an instruction sentence as an input and outputs an interpretation sentence for interpreting a result of an inference, and text template information that stores template data in which a characteristic of a contribution value of a feature in a group having features is associated with a template of the instruction sentence, calculates the contribution value of each of a plurality of the features, generates a plurality of groups each constituted with one or more of the features, acquires, for each of the plurality of groups, the template data by referring to the text template information based on the characteristic of the contribution value of the feature included in the group, generates, based on the template data and the feature included in the group, the instruction sentence to be input to the large-scale language model, and outputs the interpretation sentence obtained.

公开(公告)号：US20180358863A1

公开(公告)日：2018-12-13

申请号：US15779296

申请日：2016-11-04

Applicant: HITACHI, LTD.

Inventor： Hisashi TANIE ,  Yoshitaka IWAJI ,  Yuji ENOMOTO ,  Hirooki TOKOI ,  Takayoshi NAKAMURA ,  Naoki SAKURAI ,  Fusao HOUJYOU ,  Kohei MATSUSHITA

IPC: H02K5/24 ,  H02K5/18 ,  H02K11/25 ,  H02K11/33 ,  H02K11/38

Abstract: An object of the present invention is to provide a highly reliable electromechanical integral motor.In an electromechanical integral motor including an axial gap type motor and a power conversion control device, the power conversion control device is mounted on an end bracket portion of the motor, a space is installed between the end bracket portion of the motor and the power conversion control device, the end bracket portion of the motor and the power conversion control device are fixed by a plurality of fixing members, and at least one set of the plurality of fixing members is disposed to be spaced apart from each other.

公开(公告)号：US20240169220A1

公开(公告)日：2024-05-23

申请号：US18379537

申请日：2023-10-12

Applicant: Hitachi, Ltd.

Inventor： Masayoshi MASE ,  Kohei MATSUSHITA ,  Masaki HAMAMOTO ,  Masashi EGI

IPC: G06N5/04

CPC classification number: G06N5/04

Abstract: A computer system is accessibly connected to model management information for managing model data, risk assessment management information for managing risk assessment data, and evaluation method management information for managing evaluation method data, and generates, as relation data, association of, model data, risk assessment data, and evaluation method data in a template. The computer system is configured to, when receiving an evaluation request, by referring to the model management information, search for model data of a model to be evaluated, search for the relation data associated with the model data, generate a template based on the relation data, store, in association with the relation data, an evaluation result based on an evaluation method corresponding to the evaluation method data associated with the relation data, and generate a report based on the template and the evaluation result.

公开(公告)号：US20240046124A1

公开(公告)日：2024-02-08

申请号：US18223696

申请日：2023-07-19

Applicant: Hitachi, Ltd.

Inventor： Kohei MATSUSHITA ,  Masayoshi MASE ,  Yasuhide MORI

IPC: G06N5/04

CPC classification number: G06N5/04

Abstract: A computer system includes an arithmetic device and a storage device. The storage device stores a model configured to output an action predicted based on an action value in response to input data. The arithmetic device is configured to acquire data to be explained including values of a plurality of components to be explained in order to explain first prediction processing of the model that outputs a first predicted action in response to first input data, determine contributions of each of the plurality of components to be explained to an action value and an uncertainty of the action value in the first prediction processing, detect one or more risk components in the first prediction processing from the plurality of components to be explained based on the contributions, and present information on the risk components.