公开(公告)号：US20240149452A1

公开(公告)日：2024-05-09

申请号：US18549317

申请日：2022-01-19

Applicant: SONY GROUP CORPORATION

Inventor： ITARU SHIMIZU ,  YOSHIYUKI KOBAYASHI ,  SUGURU AOKI ,  TOMOMITSU HERAI

IPC: B25J9/16 ,  B25J11/00

CPC classification number: B25J9/1666 ,  B25J9/163 ,  B25J11/0005

Abstract: The present disclosure relates to an information processing system, an information processing method, and an information processing device that make it possible to perform learning adaptively to changes in an external environment and circumstances. A learning section learns results of action selection made by a system in response to input information. An input information assessment section assesses a risk of the input information to the system. A first parameter calculation section calculates a first parameter representing stress on the system according to an assessed value of the input information. The learning section changes learning efficiency according to the first parameter. The technology according to the present disclosure is applicable, for example, to an information processing system that performs machine learning.

公开(公告)号：US20230360437A1

公开(公告)日：2023-11-09

申请号：US17906761

申请日：2021-03-24

Applicant: SONY GROUP CORPORATION

Inventor： ANDREW SHIN ,  YOSHIYUKI KOBAYASHI ,  KENJI SUZUKI

IPC: G06V40/16 ,  G06T7/10 ,  G06F3/01

CPC classification number: G06V40/176 ,  G06T7/10 ,  G06F3/015 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06F2203/011

Abstract: Provided is a training system that performs training of a machine learning model that generates an impressing content or estimates a camera operation for capturing an impressing content.
The training system includes: a data collection device that collects data; and a training device that performs training of a machine learning model by using the data collected by the data collection device,



in which the training device performs re-training of the machine learning model by using learning data that affects the training of the machine learning model to a predetermined degree or more, insufficient learning data, or data similar thereto, collected on the basis of a result of analyzing learning data that affects the training of the machine learning model.

公开(公告)号：US20220383055A1

公开(公告)日：2022-12-01

申请号：US17755583

申请日：2020-07-20

Applicant: SONY GROUP CORPORATION

Inventor： YOSHIYUKI KOBAYASHI ,  CHISATO NUMAOKA ,  MAKIKO YAMAMOTO

IPC: G06K9/62

Abstract: Provided is an information processing apparatus that performs processing of sensor information using artificial intelligence. The information processing apparatus includes: a collection unit that collects first sensor information detected by a first sensor and second sensor information detected by a second sensor; a model generation unit that generates a learned model for estimating second sensor information corresponding to first sensor information on the basis of the first sensor information and the second sensor information that have been collected; an accumulation unit that accumulates the learned model; and a providing unit that provides a result of a service based on the learned model. The providing unit provides the learned model to the second apparatus in response to a request from the second apparatus.

公开(公告)号：US20220353578A1

公开(公告)日：2022-11-03

申请号：US17624204

申请日：2020-04-27

Applicant: SONY GROUP CORPORATION

Inventor： MASANORI MATSUSHIMA ,  HIROYUKI CHIBA ,  TOSHIHIKO FUSHIMI ,  YOSHIYUKI KOBAYASHI

IPC: H04N21/466

Abstract: An information processing apparatus that performs an automatic operation of equipment by artificial intelligence is provided. An artificial intelligence information processing apparatus includes a control section that estimates and controls the operation of the equipment by artificial intelligence on the basis of sensor information, and a presentation section that estimates and presents a reason that the control section has performed the operation of the equipment by artificial intelligence on the basis of the sensor information, the presentation section, as estimating the operation by the artificial intelligence, estimating the reason that the operation of the equipment has been performed by using a first neural network that has learnt a correlation between the sensor information and the operation of the equipment and the reason that the operation of the equipment has been performed.