Patents by Inventor Seiji Takeda

Seiji Takeda has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11455440
    Abstract: A computer implemented method of generating new chemical compounds is provided. The method includes preparing a feature vector for each of a plurality of chemical compounds for which a chemical or physical property is known. The method further includes compressing each of the feature vectors into a relational vector, and mapping each of the relational vectors to a map having at least two dimensions. The method further includes presenting the map on a display device. The method further includes receiving a selection of a position on the map, wherein the position is converted to a new relational vector, and decompressing the new relational vector to a candidate feature vector. The method further includes generating a new chemical structure from the candidate feature vector.
    Type: Grant
    Filed: February 25, 2019
    Date of Patent: September 27, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventor: Seiji Takeda
  • Patent number: 11436480
    Abstract: Provided is a reservoir computing system that is miniaturized and has a reduced learning cost. The reservoir computing system uses a reservoir that includes a first optical output section that outputs a first optical signal; a first optical waveguide that propagates the first optical signal output by the first optical output section; an optical receiving section that receives the first optical signal from the first optical waveguide; a storage section that stores received optical data corresponding to the first optical signal and output by the optical receiving section; and a feedback section that applies, to the first optical signal, feedback corresponding to the received optical data stored in the storage section.
    Type: Grant
    Filed: January 3, 2018
    Date of Patent: September 6, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Seiji Takeda, Daiju Nakano, Toshiyuki Yamane, Jean Benoit Heroux
  • Patent number: 11424593
    Abstract: To realize a reservoir computing system with a small size and reduced learning cost, provided is a laser apparatus including a laser; a feedback waveguide that is operable to feed light output from the laser back to the laser; an optical splitter that is provided in a path of the feedback waveguide and is operable to output a portion of light propagated in the feedback waveguide to outside; and a first ring resonator that is operable to be optically connected to the feedback waveguide, as well as a reservoir computing system including this laser apparatus.
    Type: Grant
    Filed: October 22, 2019
    Date of Patent: August 23, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Daiju Nakano, Seiji Takeda, Toshiyuki Yamane
  • Patent number: 11414736
    Abstract: The present invention is a production method of a hot-dip galvanized steel sheet including annealing a belt-shaped steel sheet having a Si content of greater than or equal to 0.2% by mass, wherein the annealing is continuously carried out using an annealing furnace having an oxidation heating zone and a reduction heating zone in this order, while the steel sheet is fed using rollers. The annealing includes oxidizing a surface of the steel sheet in the oxidation heating zone at a temperature at which roll pickup does not occur and reducing an iron oxide layer, formed by the oxidizing, in the reduction heating zone before the iron oxide layer reaches an initial roller in the reduction heating zone.
    Type: Grant
    Filed: September 13, 2018
    Date of Patent: August 16, 2022
    Assignee: Kobe Steel, Ltd.
    Inventors: Kazuya Kimijima, Seiji Morishige, Shinobu Nakayama, Ryo Sasaki, Mikako Takeda
  • Publication number: 20220250879
    Abstract: Provided is a work vehicle that can be transported by being loaded onto a trailer without having the outriggers removed. The work vehicle (rough terrain crane) is transported by being loaded onto a low bed trailer including a low bed and a high portion (first high bed, second high bed) higher than the low bed in at least one of the front and the rear of the low bed, and includes: outrigger units (front outrigger unit, rear outrigger unit) that are mounted to the front and rear of a vehicle body; and a lift unit that lifts and lowers the outrigger units (front outrigger unit, rear outrigger unit with respect to the vehicle body.
    Type: Application
    Filed: June 24, 2020
    Publication date: August 11, 2022
    Applicant: TADANO LTD.
    Inventors: Yoshitaka SAIJO, Masanori OSHIMA, Seiji TAKEDA, Tatsuya YAMAGUCHI, Yudai MASUDA
  • Publication number: 20220189578
    Abstract: An approach to training a molecule generative model with interpretable a latent space to identify substructures for a generated molecule generative from the latent space generated from an input molecule with a target property may be provided. A molecule generative model may be trained with a dataset of molecular structures with associated properties and known substructures. The model may generate a latent space in which a substructure predictor model may further be trained to predict the number of substructures of a molecule with target properties from an input molecule with the target properties and identified substructures.
    Type: Application
    Filed: December 14, 2020
    Publication date: June 16, 2022
    Inventor: Seiji Takeda
  • Patent number: 11195091
    Abstract: To realize a reservoir computing system easily implemented as hardware, provided is a reservoir computing system including a reservoir operable to output an inherent output signal in response to an input signal. An input node is operable to supply the reservoir with an input signal corresponding to input data, and an output node is operable to output an output value corresponding to an output signal that is output by the reservoir in response to the input data. An adaptive filter is operable to output output data based on a result obtained by weighting a plurality of the output values output from the output node at a plurality of timings with a plurality of weights. Also provided are a learning method and a computer program product.
    Type: Grant
    Filed: November 1, 2017
    Date of Patent: December 7, 2021
    Assignee: International Business Machines Corporation
    Inventors: Daiju Nakano, Seiji Takeda, Toshiyuki Yamane
  • Patent number: 11188818
    Abstract: To realize a reservoir computing system easily implemented as hardware, provided is a reservoir computing system including a reservoir operable to output an inherent output signal in response to an input signal. An input node is operable to supply the reservoir with an input signal corresponding to input data, and an output node is operable to output an output value corresponding to an output signal that is output by the reservoir in response to the input data. An adaptive filter is operable to output output data based on a result obtained by weighting a plurality of the output values output from the output node at a plurality of timings with a plurality of weights. Also provided are a learning method and a computer program product.
    Type: Grant
    Filed: April 3, 2017
    Date of Patent: November 30, 2021
    Assignee: International Business Machines Corporation
    Inventors: Daiju Nakano, Seiji Takeda, Toshiyuki Yamane
  • Patent number: 11087861
    Abstract: A computer implemented method of generating new chemical compounds is provided. The method includes preparing a data-driven substructure feature vector for each of a plurality of chemical compounds for which a chemical or physical property is known. The method further includes preparing a predefined component feature vector, creating a regression model to predict a target value for the chemical or physical property, and performing a search algorithm to identify substructure features that affect the target value for the chemical or physical property. The method further includes generating a candidate structure having the target value for the chemical or physical property, and synthesizing the candidate structure.
    Type: Grant
    Filed: March 15, 2018
    Date of Patent: August 10, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Seiji Takeda, Daiju Nakano, Koji Masuda, Tetsuro Morimura
  • Publication number: 20210232910
    Abstract: Provided is a reservoir computing system including a reservoir having a random laser for emitting a non-linear optical signal with respect to an input signal. The reservoir computing system also includes a converter for converting the non-linear optical signal into an output signal by applying a conversion function. The conversion function is trained by using a training input signal and a target output signal.
    Type: Application
    Filed: January 28, 2020
    Publication date: July 29, 2021
    Inventors: Seiji Takeda, Toshiyuki Yamane, Daiju Nakano
  • Publication number: 20210110240
    Abstract: A computer implemented method for training a neural network to capture a structural feature specific to a set of chemical compounds is disclosed. In the method, the computer system reads an expression describing a structure of the chemical compound for each chemical compound in the set and enumerates one or more combinations of a position and a type of a structural element appearing in the expression for each chemical compound in the set. The computer system also generates training data based on the one or more enumerated combinations for each chemical compound in the set. The training data includes one or more values with a length, each of which indicates whether or not a corresponding type of the structural element appears at a corresponding position for each combination. Furthermore, the computer system trains the neural network based on the training data for the set of the chemical compounds.
    Type: Application
    Filed: December 23, 2020
    Publication date: April 15, 2021
    Inventors: Satoshi Hara, Gakuto Kurata, Shigeru Nakagawa, Seiji Takeda
  • Patent number: 10928586
    Abstract: A photonic neural component includes optical transmitters, optical receivers, inter-node waveguides formed on a board, transmitting waveguides configured to receive optical signals emitted from the optical transmitters and transmit the received optical signals to the inter-node waveguides, mirrors to partially reflect optical signals propagating on the inter-node waveguides, receiving waveguides configured to receive reflected optical signals produced by the mirrors and transmit the reflected optical signals to the optical receivers, and filters configured to apply weights to the reflected optical signals. The transmitting waveguides and receiving waveguides are formed on the board such that one of the transmitting waveguides and one of the receiving waveguides crosses one of the inter-node waveguides with a core of one of the crossing waveguides passing through a core or clad of the other.
    Type: Grant
    Filed: October 23, 2019
    Date of Patent: February 23, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jean Benoit Heroux, Seiji Takeda, Toshiyuki Yamane
  • Patent number: 10915808
    Abstract: A computer implemented method for training a neural network to capture a structural feature specific to a set of chemical compounds is disclosed. In the method, the computer system reads an expression describing a structure of the chemical compound for each chemical compound in the set and enumerates one or more combinations of a position and a type of a structural element appearing in the expression for each chemical compound in the set. The computer system also generates training data based on the one or more enumerated combinations for each chemical compound in the set. The training data includes one or more values with a length, each of which indicates whether or not a corresponding type of the structural element appears at a corresponding position for each combination. Furthermore, the computer system trains the neural network based on the training data for the set of the chemical compounds.
    Type: Grant
    Filed: July 5, 2016
    Date of Patent: February 9, 2021
    Assignee: International Business Machines Corporation
    Inventors: Satoshi Hara, Gakuto Kurata, Shigeru Nakagawa, Seiji Takeda
  • Publication number: 20200272702
    Abstract: A computer implemented method of generating new chemical compounds is provided. The method includes preparing a feature vector for each of a plurality of chemical compounds for which a chemical or physical property is known. The method further includes compressing each of the feature vectors into a relational vector, and mapping each of the relational vectors to a map having at least two dimensions. The method further includes presenting the map on a display device. The method further includes receiving a selection of a position on the map, wherein the position is converted to a new relational vector, and decompressing the new relational vector to a candidate feature vector. The method further includes generating a new chemical structure from the candidate feature vector.
    Type: Application
    Filed: February 25, 2019
    Publication date: August 27, 2020
    Inventor: Seiji Takeda
  • Patent number: 10634272
    Abstract: A swivel joint for supplying and discharging various types of fluid between the top and bottom of a rotating platform includes an outer cylinder, an intermediate cylinder, and an inner cylinder that are arranged concentrically around a central axis. The intermediate cylinder can freely rotate with respect to the outer cylinder and the inner cylinder, and a hydraulic fluid flow channel is provided between the outer cylinder and the intermediate cylinder. A hot water flow channel between the lower portion of the inner cylinder and the intermediate cylinder includes an inner annular groove formed on the inner circumferential face of the intermediate cylinder. An air flow channel between the upper portion of the inner cylinder and the intermediate cylinder includes outer annular grooves formed on the outer surface of the inner cylinder.
    Type: Grant
    Filed: January 21, 2016
    Date of Patent: April 28, 2020
    Assignee: TADANO LTD.
    Inventor: Seiji Takeda
  • Patent number: 10622786
    Abstract: To realize a reservoir computing system with a small size and reduced learning cost, provided is a laser apparatus including a laser; a feedback waveguide that is operable to feed light output from the laser back to the laser; an optical splitter that is provided in a path of the feedback waveguide and is operable to output a portion of light propagated in the feedback waveguide to outside; and a first ring resonator that is operable to be optically connected to the feedback waveguide, as well as a reservoir computing system including this laser apparatus.
    Type: Grant
    Filed: April 20, 2017
    Date of Patent: April 14, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Daiju Nakano, Seiji Takeda, Toshiyuki Yamane
  • Patent number: 10585240
    Abstract: A photonic neural component including optical transmitters, optical receivers, inter-node waveguides formed on a board, multiplexers configured to multiplex input optical signals onto the inter-node waveguides, transmitting waveguides configured to receive optical signals emitted from the optical transmitters and transmit the received optical signals to the inter-node waveguides via the multiplexers, mirrors to partially reflect optical signals propagating on the inter-node waveguides, receiving waveguides configured to receive reflected optical signals produced by the mirrors and transmit the reflected optical signals to the optical receivers, and filters configured to apply weights to the reflected optical signals. The transmitting waveguides and receiving waveguides are formed on the board such that one of the transmitting waveguides and one of the receiving waveguides crosses one of the inter-node waveguides with a core of one of the crossing waveguides passing through a core or clad of the other.
    Type: Grant
    Filed: August 20, 2019
    Date of Patent: March 10, 2020
    Assignee: International Business Machines Corporation
    Inventors: Jean Benoit Heroux, Seiji Takeda, Toshiyuki Yamane
  • Publication number: 20200057194
    Abstract: A photonic neural component includes optical transmitters, optical receivers, inter-node waveguides formed on a board, transmitting waveguides configured to receive optical signals emitted from the optical transmitters and transmit the received optical signals to the inter-node waveguides, mirrors to partially reflect optical signals propagating on the inter-node waveguides, receiving waveguides configured to receive reflected optical signals produced by the mirrors and transmit the reflected optical signals to the optical receivers, and filters configured to apply weights to the reflected optical signals. The transmitting waveguides and receiving waveguides are formed on the board such that one of the transmitting waveguides and one of the receiving waveguides crosses one of the inter-node waveguides with a core of one of the crossing waveguides passing through a core or clad of the other.
    Type: Application
    Filed: October 23, 2019
    Publication date: February 20, 2020
    Inventors: Jean Benoit Heroux, Seiji Takeda, Toshiyuki Yamane
  • Publication number: 20200052463
    Abstract: To realize a reservoir computing system with a small size and reduced learning cost, provided is a laser apparatus including a laser; a feedback waveguide that is operable to feed light output from the laser back to the laser; an optical splitter that is provided in a path of the feedback waveguide and is operable to output a portion of light propagated in the feedback waveguide to outside; and a first ring resonator that is operable to be optically connected to the feedback waveguide, as well as a reservoir computing system including this laser apparatus.
    Type: Application
    Filed: October 22, 2019
    Publication date: February 13, 2020
    Inventors: Daiju Nakano, Seiji Takeda, Toshiyuki Yamane
  • Patent number: 10514498
    Abstract: A photonic neural component includes optical transmitters, optical receivers, inter-node waveguides formed on a board, transmitting waveguides configured to receive optical signals emitted from the optical transmitters and transmit the received optical signals to the inter-node waveguides, mirrors to partially reflect optical signals propagating on the inter-node waveguides, receiving waveguides configured to receive reflected optical signals produced by the mirrors and transmit the reflected optical signals to the optical receivers, and filters configured to apply weights to the reflected optical signals. The transmitting waveguides and receiving waveguides are formed on the board such that one of the transmitting waveguides and one of the receiving waveguides crosses one of the inter-node waveguides with a core of one of the crossing waveguides passing through a core or clad of the other.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: December 24, 2019
    Assignee: International Business Machines Corporation
    Inventors: Jean Benoit Heroux, Seiji Takeda, Toshiyuki Yamane