Sony Corporation

Tokyo Electron Limited

Semiconductor Energy Laboratory Co., Ltd.

Hitachi, Ltd.

Sony Group Corporation

Sony Mobile Communications Inc.

Unisia Jecs Corporation

Dowa Electronics Materials Co., Ltd.

Fuji Xerox Co., Ltd.

Japan Aviation Electronics Industry, Limited

Fujifilm Business Innovation Corp.

Hitachi Automotive Systems, Ltd.

Nidec Corporation

Ckd Corporation

Suzuki Motor Corporation

Yoshiyuki Kobayashi

Daisuke Matsubayashi

Kenjiro Ueda

Hiroshi Kuno

Motoki Kato

Takamichi Hayashi

Naoki Ide

Shingo Takamatsu

Kazuo Yamamoto

Shunpei Yamazaki

Shigehiro Kataoka

Kouichi Uchimura

Masahiko Watanabe

Katsumi Muramatsu

Kenta Kawamoto

Shinpei Matsuda

Mari Saito

Tateo Oishi

Kazuya Hanaoka

Kei Tateno

Ryo Mukaiyama

Satoshi Taga

Toshiya Hamada

Takahiro Murakami

Tomoo Mizukami

Akira Fukui

Yutaka Shionoiri

Shuhei Nagatsuka

Tsuyoshi Moriya

Shinobu Hattori

Kenichi Machida

Osamu Suzuki

Takashi Tsuji

Masatomo Kurata

Takuya Ikeda

Anthony B Pinkerton

Tomohisa Takaoka

Hitoshi Sakamoto

Shigeaki Yamamuro

Tetsuji Sato

Ryo Nakagawa

Hiroaki Mizuno

Shinya Ohtani

Shinya Sasagawa

Motomu Kurata

Kohtaro Sabe

Yoshikazu Takashima

Masato Ito

Shinji Himori

Hiroshi Ogino

Naoki Okamoto

Hideyuki Matsunaga

Takehiro Ueda

Kaoru Oohashi

Koji Yoshimura

Takuya Okada

Masayuki Sakakura

Yasuaki Yamagishi

Shigeru Sugaya

Akihisa Shimomura

Tomoaki Atsumi

Satoshi Tanaka

Mitsuhiro Hirabayashi

Akira Matsui

Jun Yonemitsu

Naoyuki Sato

Kazuya Nagaseki

Ryo Miyakoshi

Susumu Takatsuka

Yuto Yakubo

Yoshihiro Wakita

Isao Hayase

Tamaki Kojima

Nobuyuki Nagayama

Takanori Nishimura

Yoshio Harada

Masakazu Ukita

Atsushi Noda

Hiroshi Itafuji

Masanori Katsu

Atsushi Watanabe

Masahiro Ogasawara

Akira Nakamura

Kazuhiko Takabayashi

Atsushi Yamanaka

Takaomi Kimura

Hiroyuki Ibe

Ryo Sakamoto

Masato Aono

Kiyoshi Tanaka

Masaru Murashita

Makoto Iwayama

Daigo Ito

Yasuhiro Shirai

Tetsuya Matsuura

Katsuyuki Takahashi

Toshiro Hattori

Atsushi Iwamura

Ravigopal Vennelakanti

The present disclosure provides novel and improved information processing apparatus, information processing method, and program with which it is easy for a user to predict a future remaining battery amount. According to the present disclosure, there is provided an information processing apparatus including a control unit that performs control to calculate a future prediction value of remaining battery amount on the basis of a use history of an information processing apparatus by a user and to present prediction value related information related to the prediction value to the user. According to the present disclosure, the user can easily predict the future remaining battery amount. Note that the effects described above are not necessarily limitative. With or in the place of the above effects, there may be achieved any one of the effects described in this specification or other effects that may be grasped from this specification.

Information processing apparatus, information processing method, and program

A powder feeder according to one aspect of the present disclosure is a powder feeding device that feeds powder from a feeder to a nozzle. The powder feeding device includes a cartridge configured to store the powder in an airtight condition, and includes the feeder. The cartridge includes a port from which the powder is stored and withdrawn, and an open/close valve for opening and closing the port. The feeder includes a connection portion to which the cartridge is removably connected, a supply port configured to supply the powder in the cartridge connected to the connection portion into the feeder, and an opening/closing valve for opening and closing the supply port. The feeder is configured to insert the powder supplied from the supply port to the feeder into the nozzle, and the cartridge and the feeder are configured to form an enclosed space between the port and the supply port in response to the cartridge being connected to the connection portion.

Powder feeding device, thermal spraying apparatus, powder feeding method, and thermal spraying method

A rotary electric machine includes a rotor, a stator having a coil, a substrate electrically connected to the coil, a bus bar assembly having a bus bar electrically connecting the coil and the substrate, and a housing having a stator housing portion accommodating the stator and a substrate housing portion accommodating the substrate. The substrate housing portion is radially outside the stator housing portion. The housing has a connection hole radially connecting the stator housing portion and the substrate housing portion. The bus bar assembly radially passes through the connection hole. The bus bar includes a coil connection portion electrically connected to the coil, and a substrate connection portion electrically connected to the substrate. The bus bar assembly includes a bus bar holder that holds the bus bar, and a fixing member that is held by the bus bar holder and fixed to the housing.

Rotary electric machine and pump

An artificial intelligence information processing device that generates information about a scene according to artificial intelligence is provided. The artificial intelligence information processing device includes a gaze degree estimation unit configured to estimate a degree of gaze of a user who is watching content according to artificial intelligence on the basis of sensor information, an acquisition unit configured to acquire a video of a scene at which the user gazes in the content and information about the content on the basis of an estimation result of the gaze degree estimation unit, and a scene information estimation unit configured to estimate information about the scene at which the user gazes according to artificial intelligence on the basis of the video of the scene at which the user gazes and the information about the content.

Artificial intelligence information processing device and artificial intelligence information processing method

An information processing device () includes a control unit. The control unit acquires each piece of resource information related to a plurality of different resources to be used when uplink data is transmitted by streaming. The control unit selects a resource to be used by a device () that performs the streaming on the basis of the resource information that has been acquired and performs reservation for use of the resource that has been selected. The control unit generates combination information related to a combination of resources that have been reserved for use.

Information processing device, information processing method, and information processing system

Provided is an information processing device including a control unit that performs: temporary label addition processing of adding a temporary label to a predetermined position on input data for machine learning; processing of generating label data in accordance with input of correction of the temporary label by a person in charge of labeling; and processing of comparing label data corrected by the person in charge of labeling with correct-answer label data that is acquired in advance, and calculating labeling accuracy of the person in charge of labeling.

Information processing device and information processing method to evaluate a person in charge of labeling

A rotary electric machine includes a rotor, a stator, a substrate, a bus bar, a housing having a stator housing portion and a substrate housing portion, and a cover member. The substrate housing portion is located radially outside the stator housing portion. The housing has a connection hole connecting the stator housing portion and the substrate housing portion. The bus bar radially passes through the connection hole. The bus bar includes a coil connection portion electrically connected to the coil in the stator housing portion, and a substrate connection portion electrically connected to the substrate in the substrate housing portion. The bus bar is located on one side in the axial direction of the stator. The cover member has an opposing portion located on one side in the axial direction of the bus bar in the stator housing portion, and having an axial positioning portion for the bus bar.

The present invention relates to a novel azole derivative as an apelin receptor agonist and a method for treating cardiovascular disease, diabetic disease, renal disease, hypertension, and arteriosclerosis, etc., using the same. The present invention provides a compound represented by formula (I) or a pharmacologically acceptable salt thereof wherein Xrepresents —N═ or —CH═, Xrepresents —CH═ or —N═, Rand Reach represent a Cto Calkoxy group or the like, Rrepresents a heteroaryl group (the heteroaryl group is optionally substituted by a methyl group or the like) or the like, and Rrepresents a Cto Calkylthio group or a Cto Calkenyl group (the Cto Calkylthio group and the Cto Calkenyl group are each optionally substituted by one carboxy group or the like) or the like.

Azole derivatives as apelin receptor agonist

An audio reproduction with a realistic feeling is achieved while suppressing incongruity and discomfort given to a user. The information processing device includes an acquisition section that acquires content data including a plurality of objects, an execution timing decision section that decides an execution timing for each of the objects, a rendering processing section that renders each of the objects on the basis of line-of-sight information of a user that has been input immediately before the execution timing of rendering each of the objects, and an output synthesis section that synthesizes output data for every object that has been generated by the rendering.

Information processing device and information processing method

Provided is an information processing device includes a receiving unit that receives a segment file having a plurality of segments and a setting file in which a group to which the segment file belongs is set, and an extraction unit that extracts one or more MP4 samples included in a segment of the segment file and adds attribute information including a reproduction start time of the MP4 sample to the MP4 sample. The information processing device further includes a determination unit that determines a switching position at which the segment file belonging to the group after switching is output in units of the MP4 samples on the basis of an accepted switching operation of the group and the attribute information, and an output unit that outputs an output signal generated from the segment file belonging to the group after the switching from the switching position to an output device.

[Object] To provide an information processing apparatus, an information processing method, and a program capable of providing more useful information to a driver. [Solution] An information processing apparatus including: a prediction section configured to predict accident probability of a vehicle driven by a user; and an output control section configured to cause information to be output to the user, the information corresponding to a factor that increases the accident probability predicted by the prediction section.

Electric oil pump

A motor driving device for driving a motor is provided. The motor driving device includes: a driver outputting a drive signal for driving the motor to the motor; and a controller controlling a duty ratio of the drive signal based on three control parameters which are an initial duty ratio, a duty ratio increasing speed, and a target duty ratio. The controller has a normal control mode in which each of the three control parameters is a predetermined value, and a cryogenic control mode in which at least one of the three control parameters is a smaller value than in the normal control mode.

Motor driving device and electric oil pump device

The present technology relates to a program, an information processing method, and an information processing apparatus that make it possible to easily design network. A program according to one aspect of the present technology is a program causing a computer to serve as: a generating unit that generates, in response to specification of a data set including data for learning, a network for inference execution and a network for learning corresponding to the data set; and a learning unit that inputs the data for learning to the network for learning and performs learning of the network for inference execution. The present technology is applicable to a program that supports network design by Deep Learning.

Program, information processing method, and information processing apparatus

Growing community of inventors

Tokyo, Japan

Yoshiyuki Kobayashi