Patents by Inventor Chiara Marchiori

Chiara Marchiori 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: 11874863
    Abstract: The present disclosure relates to a method for query expansion. The method comprises: a) receiving a current query having at least one search term; b) inputting the at least one search term of the current query to a set of one or more query expansion modules, wherein the query expansion modules are configured to predict expansion terms of input terms; c) receiving from the set of expansion modules candidate expansion terms of the search term; d) modifying the current query using at least part of the candidate expansion terms, resulting in a modified query having at least one modified search term, The method further comprises repeating steps b) to d) using the modified query as the current query, the repeating being performed until a predefined stopping criterion is fulfilled.
    Type: Grant
    Filed: April 3, 2020
    Date of Patent: January 16, 2024
    Assignee: International Business Machines Corporation
    Inventors: Ivan Girardi, Harold Douglas Dykeman, Andrea Giovannini, Adam Ivankay, Chiara Marchiori, Kevin Thandiackal, Mario Zusag
  • Publication number: 20220051090
    Abstract: An approach for determining a concatenated confidence value of a first class using an artificial-intelligence module (AI-module) for performing a classification based on the concatenated confidence value of the first class. The AI-module comprises a knowledge graph module, a machine learning module, and a weighting module. A processor determines a first confidence value of the first class as a first function of an input dataset using the machine learning module. A processor determines a second confidence value of the first class as a second function of the input dataset using the knowledge graph module. A processor determines the concatenated confidence value of the first class as a third function of the first confidence value of the first class, the second confidence value of the first class, and a value of a weighting parameter of the weighting module.
    Type: Application
    Filed: August 11, 2020
    Publication date: February 17, 2022
    Inventors: Andrea Giovannini, Harold Douglas Dykeman, Ivan Girardi, Adam Ivankay, Chiara Marchiori, Konrad Paluch, Kevin Thandiackal, Mario Zusag
  • Publication number: 20210286831
    Abstract: The present disclosure relates to a method for query expansion. The method comprises: a) receiving a current query having at least one search term; b) inputting the at least one search term of the current query to a set of one or more query expansion modules, wherein the query expansion modules are configured to predict expansion terms of input terms; c) receiving from the set of expansion modules candidate expansion terms of the search term; d) modifying the current query using at least part of the candidate expansion terms, resulting in a modified query having at least one modified search term, The method further comprises repeating steps b) to d) using the modified query as the current query, the repeating being performed until a predefined stopping criterion is fulfilled.
    Type: Application
    Filed: April 3, 2020
    Publication date: September 16, 2021
    Inventors: Ivan Girardi, Harold Douglas Dykeman, Andrea Giovannini, Adam Ivankay, Chiara Marchiori, Kevin Thandiackal, Mario Zusag
  • Patent number: 10339651
    Abstract: Apparatus, methods, and computer-readable media are provided for simultaneous feature extraction and dictionary learning from heterogeneous tissue images, without the need of prior local labeling. A convolutional autoencoder is adapted and enhanced to jointly learn a feature extraction algorithm and a dictionary of representative atoms. While training the autoencoder an image patch is tiled in sub-patches and only the highest activation value per sub-patch is kept. Thus, only a subset of spatially constrained values per patch is used for reconstruction. The deconvolutional filters are the dictionary elements, and only a deconvolution layer is used for these elements. Embodiments described herein may be provided for use in models for representing local tissue heterogeneity for better disease progression understanding and thus treating, diagnosing, and/or predicting the occurrence (e.g., recurrence) of one or more medical conditions such as, for example, cancer or other types of disease.
    Type: Grant
    Filed: October 28, 2016
    Date of Patent: July 2, 2019
    Assignee: International Business Machines Corporation
    Inventors: Maria Gabrani, Chiara Marchiori, Bogdan Prisacari, Erwan Zerhouni
  • Patent number: 10007059
    Abstract: A semiconductor structure is provided, the semiconductor structure comprising: a semiconductor substrate processed to comprise at least an optical aspect comprising at least a silicon photonics device and at least an electronic aspect comprising at least an electronic device; at least an interlayer dielectric layer provided on the semiconductor substrate, and at least an electrically interconnecting layer provided on the interlayer dielectric layer, wherein: the semiconductor structure further comprises at least a functional-oxide crystalline layer provided in relation to the interlayer dielectric layer before the interconnecting layer is provided on the interlayer dielectric layer, the functional-oxide crystalline layer comprising at least a functional-oxide material and is processed to comprise at least an active optical device, and the interlayer dielectric layer comprises a first surface and a second surface, the first surface being in common to at least a respective part of the optical aspect and the ele
    Type: Grant
    Filed: May 23, 2017
    Date of Patent: June 26, 2018
    Assignee: International Business Machines Corporation
    Inventors: Stefan Abel, Jean Fompeyrine, Chiara Marchiori
  • Publication number: 20180121759
    Abstract: Apparatus, methods, and computer-readable media are provided for simultaneous feature extraction and dictionary learning from heterogeneous tissue images, without the need of prior local labeling. A convolutional autoencoder is adapted and enhanced to jointly learn a feature extraction algorithm and a dictionary of representative atoms. While training the autoencoder an image patch is tiled in sub-patches and only the highest activation value per sub-patch is kept. Thus, only a subset of spatially constrained values per patch is used for reconstruction. The deconvolutional filters are the dictionary elements, and only a deconvolution layer is used for these elements. Embodiments described herein may be provided for use in models for representing local tissue heterogeneity for better disease progression understanding and thus treating, diagnosing, and/or predicting the occurrence (e.g., recurrence) of one or more medical conditions such as, for example, cancer or other types of disease.
    Type: Application
    Filed: October 28, 2016
    Publication date: May 3, 2018
    Inventors: Maria Gabrani, Chiara Marchiori, Bogdan Prisacari, Erwan Zerhouni
  • Patent number: 9953839
    Abstract: This invention relates to an apparatus, system, and method for creating a high-k gate stack structure that includes a passivation layer. The passivation layer can be constructed from a deposition of silicon carbide. The silicon carbide provides robustness against oxidation, which can reduce the capacity of the stack. The silicon carbide is thermodynamically stable during the deposition process and results in a clean interface.
    Type: Grant
    Filed: August 18, 2016
    Date of Patent: April 24, 2018
    Assignee: International Business Machines Corporation
    Inventors: Chiara Marchiori, Federico Zipoli
  • Publication number: 20180053656
    Abstract: This invention relates to an apparatus, system, and method for creating a high-k gate stack structure that includes a passivation layer. The passivation layer can be constructed from a deposition of silicon carbide. The silicon carbide provides robustness against oxidation, which can reduce the capacity of the stack. The silicon carbide is thermodynamically stable during the deposition process and results in a clean interface.
    Type: Application
    Filed: August 18, 2016
    Publication date: February 22, 2018
    Inventors: Chiara Marchiori, Federico Zipoli
  • Publication number: 20170254950
    Abstract: A semiconductor structure is provided, the semiconductor structure comprising: a semiconductor substrate processed to comprise at least an optical aspect comprising at least a silicon photonics device and at least an electronic aspect comprising at least an electronic device; at least an interlayer dielectric layer provided on the semiconductor substrate, and at least an electrically interconnecting layer provided on the interlayer dielectric layer, wherein: the semiconductor structure further comprises at least a functional-oxide crystalline layer provided in relation to the interlayer dielectric layer before the interconnecting layer is provided on the interlayer dielectric layer, the functional-oxide crystalline layer comprising at least a functional-oxide material and is processed to comprise at least an active optical device, and the interlayer dielectric layer comprises a first surface and a second surface, the first surface being in common to at least a respective part of the optical aspect and the ele
    Type: Application
    Filed: May 23, 2017
    Publication date: September 7, 2017
    Inventors: Stefan Abel, Jean Fompeyrine, Chiara Marchiori
  • Patent number: 9703127
    Abstract: A method comprising: providing a core comprising a layer of electro-optic dielectric material, a first layer of semiconductor material provided below the electro-optic material and a second layer of the semiconductor material provided above the electro-optic material, and electrodes, configured for applying voltages.
    Type: Grant
    Filed: August 10, 2016
    Date of Patent: July 11, 2017
    Assignee: International Business Machines Corporation
    Inventors: Stefan Abel, Chiara Marchiori
  • Patent number: 9696488
    Abstract: A semiconductor structure is provided, the semiconductor structure comprising: a semiconductor substrate processed to comprise at least an optical aspect comprising at least a silicon photonics device and at least an electronic aspect comprising at least an electronic device; at least an interlayer dielectric layer provided on the semiconductor substrate, and at least an electrically interconnecting layer provided on the interlayer dielectric layer, wherein: the semiconductor structure further comprises at least a functional-oxide crystalline layer provided in relation to the interlayer dielectric layer before the interconnecting layer is provided on the interlayer dielectric layer, the functional-oxide crystalline layer comprising at least a functional-oxide material and is processed to comprise at least an active optical device, and the interlayer dielectric layer comprises a first surface and a second surface, the first surface being in common to at least a respective part of the optical aspect and the ele
    Type: Grant
    Filed: November 19, 2015
    Date of Patent: July 4, 2017
    Assignee: International Business Machines Corporation
    Inventors: Stefan Abel, Jean Fompeyrine, Chiara Marchiori
  • Publication number: 20160349546
    Abstract: A method comprising: providing a core comprising a layer of electro-optic dielectric material, a first layer of semiconductor material provided below the electro-optic material and a second layer of the semiconductor material provided above the electro-optic material, and electrodes, configured for applying voltages.
    Type: Application
    Filed: August 10, 2016
    Publication date: December 1, 2016
    Inventors: Stefan Abel, Chiara Marchiori
  • Patent number: 9417469
    Abstract: A waveguide structure comprising: a core comprising a layer of electro-optic dielectric material, a first layer of semiconductor material provided below the electro-optic material and a second layer of the semiconductor material provided above the electro-optic material, and electrodes, configured for applying voltages.
    Type: Grant
    Filed: April 23, 2015
    Date of Patent: August 16, 2016
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Stefan Abel, Chiara Marchiori
  • Publication number: 20160139335
    Abstract: A semiconductor structure is provided, the semiconductor structure comprising: a semiconductor substrate processed to comprise at least an optical aspect comprising at least a silicon photonics device and at least an electronic aspect comprising at least an electronic device; at least an interlayer dielectric layer provided on the semiconductor substrate, and at least an electrically interconnecting layer provided on the interlayer dielectric layer, wherein: the semiconductor structure further comprises at least a functional-oxide crystalline layer provided in relation to the interlayer dielectric layer before the interconnecting layer is provided on the interlayer dielectric layer, the functional-oxide crystalline layer comprising at least a functional-oxide material and is processed to comprise at least an active optical device, and the interlayer dielectric layer comprises a first surface and a second surface, the first surface being in common to at least a respective part of the optical aspect and the ele
    Type: Application
    Filed: November 19, 2015
    Publication date: May 19, 2016
    Inventors: Stefan Abel, Jean Fompeyrine, Chiara Marchiori
  • Patent number: 9240550
    Abstract: The present invention is notably directed to a resistive memory element comprising a resistively switchable material coupled to two conductive electrodes, wherein the resistively switchable material is an amorphous compound comprising carbon and oxygen. Moreover, the carbon and oxygen stoichiometric ratio can be within a range of 1:0.30 to 1:0.80.
    Type: Grant
    Filed: July 17, 2014
    Date of Patent: January 19, 2016
    Assignee: GLOBALFOUNDRIES INC.
    Inventors: Laurent A. Dellmann, Evangelos S. Eleftheriou, Chiara Marchiori, Claudia Santini, Abu Sebastian
  • Publication number: 20150309340
    Abstract: A waveguide structure comprising: a core comprising a layer of electro-optic dielectric material, a first layer of semiconductor material provided below the electro-optic material and a second layer of the semiconductor material provided above the electro-optic material, and electrodes, configured for applying voltages.
    Type: Application
    Filed: April 23, 2015
    Publication date: October 29, 2015
    Inventors: Stefan Abel, Chiara Marchiori
  • Publication number: 20150036413
    Abstract: The present invention is notably directed to a resistive memory element comprising a resistively switchable material coupled to two conductive electrodes, wherein the resistively switchable material is an amorphous compound comprising carbon and oxygen. Moreover, the carbon and oxygen stoichiometric ratio can be within a range of 1:0.30 to 1:0.80.
    Type: Application
    Filed: July 17, 2014
    Publication date: February 5, 2015
    Inventors: Laurent A. Dellmann, Evangelos S. Eleftheriou, Chiara Marchiori, Claudia Santini, Abu Sebastian
  • Publication number: 20140035001
    Abstract: A semiconductor structure (1) comprises a dielectric layer (2) including a dielectric material having a dielectric constant higher than that of silicon oxide; a channel region (3) including a compound semiconductor material; a passivation layer (4) including a passivation material between the channel region (3) and the dielectric layer (2); and a barrier layer (5) including a barrier material between the dielectric layer (2) and the passivation layer (4) for reducing a chemical reaction of the dielectric material of the dielectric layer (2) with the passivation material of the passivation layer (4).
    Type: Application
    Filed: August 2, 2012
    Publication date: February 6, 2014
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Lukas Czornomaz, Mario El Kazzi, Jean Fompeyrine, Chiara Marchiori