Patents by Inventor Gregory Sean Corrado
Gregory Sean Corrado 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).
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Patent number: 11960519Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying data objects. One of the methods includes obtaining data that associates each term in a vocabulary of terms with a respective high-dimensional representation of the term; obtaining classification data for a data object, wherein the classification data includes a respective score for each of a plurality of categories, and wherein each of the categories is associated with a respective category label; computing an aggregate high-dimensional representation for the data object from high-dimensional representations for the category labels associated with the categories and the respective scores; identifying a first term in the vocabulary of terms having a high-dimensional representation that is closest to the aggregate high-dimensional representation; and selecting the first term as a category label for the data object.Type: GrantFiled: August 20, 2020Date of Patent: April 16, 2024Assignee: Google LLCInventors: Gregory Sean Corrado, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea L Frome, Jeffrey Adgate Dean, Mohammad Norouzi
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Publication number: 20230353513Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.Type: ApplicationFiled: November 28, 2022Publication date: November 2, 2023Inventors: Phillip Neal Sharp, Prabhakar Raghavan, Thompson Alexander Ivor Gawley, Balint Miklos, Karol Kurach, Tobias Kaufmann, Gregory Sean Corrado, László Lukács
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Patent number: 11790216Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting likelihoods of conditions being satisfied using recurrent neural networks. One of the systems is configured to process a temporal sequence comprising a respective input at each of a plurality of time steps and comprises: one or more recurrent neural network layers; one or more logistic regression nodes, wherein each of the logistic regression nodes corresponds to a respective condition from a predetermined set of conditions, and wherein each of the logistic regression nodes is configured to, for each of the plurality of time steps: receive the network internal state for the time step; and process the network internal state for the time step in accordance with current values of a set of parameters of the logistic regression node to generate a future condition score for the corresponding condition for the time step.Type: GrantFiled: July 27, 2020Date of Patent: October 17, 2023Assignee: Google LLCInventors: Gregory Sean Corrado, Ilya Sutskever, Jeffrey Adgate Dean
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Publication number: 20230277069Abstract: Generally, the present disclosure is directed to systems and methods for measuring heart rate and respiratory rate using a camera such as, for example, a smartphone camera or other consumer-grade camera. Specifically, the present disclosure presents and validates two algorithms that make use of smartphone cameras (or the like) for measuring heart rate (HR) and respiratory rate (RR) for consumer wellness use. As an example, HR can be measured by placing the finger of a subject over the rear-facing camera. As another example, RR can be measured via a video of the subject sitting still in front of the front-facing camera.Type: ApplicationFiled: March 3, 2022Publication date: September 7, 2023Inventors: Jiening Zhan, Sean Kyungmok Bae, Silviu Borac, Yunus Emre, Jonathan Wesor Wang, Jiang Wu, Mehr Kashyap, Ming Jack Po, Liwen Chen, Melissa Chung, John Cannon, Eric Steven Teasley, James Alexander Taylor, Jr., Michael Vincent McConnell, Alejandra Maciel, Allen KC Chai, Shwetak Patel, Gregory Sean Corrado, Si-Hyuck Kang, Yun Liu, Michael Rubinstein, Michael Spencer Krainin, Neal Wadhwa
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Patent number: 11516156Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.Type: GrantFiled: July 24, 2020Date of Patent: November 29, 2022Assignee: GOOGLE LLCInventors: Phillip Neal Sharp, Prabhakar Raghavan, Thompson Alexander Ivor Gawley, Balint Miklos, Karol Kurach, Tobias Kaufmann, Gregory Sean Corrado, László Lukács
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Patent number: 11456978Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.Type: GrantFiled: July 24, 2020Date of Patent: September 27, 2022Assignee: GOOGLE LLCInventors: Phillip Neal Sharp, Prabhakar Raghavan, Thompson Alexander Ivor Gawley, Balint Miklos, Karol Kurach, Tobias Kaufmann, Gregory Sean Corrado, László Lukács
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Publication number: 20210019604Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting likelihoods of conditions being satisfied using recurrent neural networks. One of the systems is configured to process a temporal sequence comprising a respective input at each of a plurality of time steps and comprises: one or more recurrent neural network layers; one or more logistic regression nodes, wherein each of the logistic regression nodes corresponds to a respective condition from a predetermined set of conditions, and wherein each of the logistic regression nodes is configured to, for each of the plurality of time steps: receive the network internal state for the time step; and process the network internal state for the time step in accordance with current values of a set of parameters of the logistic regression node to generate a future condition score for the corresponding condition for the time step.Type: ApplicationFiled: July 27, 2020Publication date: January 21, 2021Inventors: Gregory Sean Corrado, Ilya Sutskever, Jeffrey Adgate Dean
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Publication number: 20200380023Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying data objects. One of the methods includes obtaining data that associates each term in a vocabulary of terms with a respective high-dimensional representation of the term; obtaining classification data for a data object, wherein the classification data includes a respective score for each of a plurality of categories, and wherein each of the categories is associated with a respective category label; computing an aggregate high-dimensional representation for the data object from high-dimensional representations for the category labels associated with the categories and the respective scores; identifying a first term in the vocabulary of terms having a high-dimensional representation that is closest to the aggregate high-dimensional representation; and selecting the first term as a category label for the data object.Type: ApplicationFiled: August 20, 2020Publication date: December 3, 2020Inventors: Gregory Sean Corrado, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea L. Frome, Jeffrey Adgate Dean, Mohammad Norouzi
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Publication number: 20200372359Abstract: A system includes one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the computers to implement a combined machine learning model for processing an input including multiple features to generate a predicted output for the machine learning input. The combined model includes: a deep machine learning model configured to process the features to generate a deep model output; a wide machine learning model configured to process the features to generate a wide model output; and a combining layer configured to process the deep model output generated by the deep machine learning model and the wide model output generated by the wide machine learning model to generate the predicted output, in which the deep model and the wide model have been trained jointly on training data to generate the deep model output and the wide model output.Type: ApplicationFiled: August 12, 2020Publication date: November 26, 2020Inventors: Tal Shaked, Rohan Anil, Hrishikesh Balkrishna Aradhye, Mustafa Ispir, Glen Anderson, Wei Chai, Mehmet Levent Koc, Jeremiah Joseph Harmsen, Xiaobing Liu, Gregory Sean Corrado, Tushar Deepak Chandra, Heng-Tze Cheng
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Publication number: 20200358723Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.Type: ApplicationFiled: July 24, 2020Publication date: November 12, 2020Inventors: Phillip Neal Sharp, Prabhakar Raghavan, Thompson Alexander Ivor Gawley, Balint Miklos, Karol Kurach, Tobias Kaufmann, Gregory Sean Corrado, László Lukács
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Patent number: 10803380Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating document vector representations. One of the methods includes obtaining a new document; selecting a plurality of new document word sets; and determining a vector representation for the new document using a trained neural network system, wherein the trained neural network system comprises: a document embedding layer and a classifier, and wherein determining the vector representation for the new document using the trained neural network system comprises iteratively providing each of the plurality of new document word sets to the trained neural network system to determine the vector representation for the new document using gradient descent.Type: GrantFiled: September 12, 2016Date of Patent: October 13, 2020Assignee: Google LLCInventors: Andrew M. Dai, Quoc V. Le, Gregory Sean Corrado
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Publication number: 20200293873Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating document vector representations. One of the methods includes obtaining a new document; selecting a plurality of new document word sets; and determining a vector representation for the new document using a trained neural network system, wherein the trained neural network system comprises: a document embedding layer and a classifier, and wherein determining the vector representation for the new document using the trained neural network system comprises iteratively providing each of the plurality of new document word sets to the trained neural network system to determine the vector representation for the new document using gradient descent.Type: ApplicationFiled: September 12, 2016Publication date: September 17, 2020Inventors: Andrew M. Dai, Quoc V. Le, Gregory Sean Corrado
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Patent number: 10769191Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying data objects. One of the methods includes obtaining data that associates each term in a vocabulary of terms with a respective high-dimensional representation of the term; obtaining classification data for a data object, wherein the classification data includes a respective score for each of a plurality of categories, and wherein each of the categories is associated with a respective category label; computing an aggregate high-dimensional representation for the data object from high-dimensional representations for the category labels associated with the categories and the respective scores; identifying a first term in the vocabulary of terms having a high-dimensional representation that is closest to the aggregate high-dimensional representation; and selecting the first term as a category label for the data object.Type: GrantFiled: December 19, 2014Date of Patent: September 8, 2020Assignee: Google LLCInventors: Gregory Sean Corrado, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea L. Frome, Jeffrey Adgate Dean, Mohammad Norouzi
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Patent number: 10762422Abstract: A system includes one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the computers to implement a combined machine learning model for processing an input including multiple features to generate a predicted output for the machine learning input. The combined model includes: a deep machine learning model configured to process the features to generate a deep model output; a wide machine learning model configured to process the features to generate a wide model output; and a combining layer configured to process the deep model output generated by the deep machine learning model and the wide model output generated by the wide machine learning model to generate the predicted output, in which the deep model and the wide model have been trained jointly on training data to generate the deep model output and the wide model output.Type: GrantFiled: December 29, 2016Date of Patent: September 1, 2020Assignee: Google LLCInventors: Tal Shaked, Rohan Anil, Hrishikesh Balkrishna Aradhye, Mustafa Ispir, Glen Anderson, Wei Chai, Mehmet Levent Koc, Jeremiah Harmsen, Xiaobing Liu, Gregory Sean Corrado, Tushar Deepak Chandra, Heng-Tze Cheng
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Patent number: 10728184Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.Type: GrantFiled: August 28, 2018Date of Patent: July 28, 2020Assignee: GOOGLE LLCInventors: Phillip Neal Sharp, Prabhakar Raghavan, Thompson Alexander Ivor Gawley, Balint Miklos, Karol Kurach, Tobias Kaufmann, Gregory Sean Corrado, László Lukács
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Patent number: 10726327Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting likelihoods of conditions being satisfied using recurrent neural networks. One of the systems is configured to process a temporal sequence comprising a respective input at each of a plurality of time steps and comprises: one or more recurrent neural network layers; one or more logistic regression nodes, wherein each of the logistic regression nodes corresponds to a respective condition from a predetermined set of conditions, and wherein each of the logistic regression nodes is configured to, for each of the plurality of time steps: receive the network internal state for the time step; and process the network internal state for the time step in accordance with current values of a set of parameters of the logistic regression node to generate a future condition score for the corresponding condition for the time step.Type: GrantFiled: May 5, 2017Date of Patent: July 28, 2020Assignee: Google LLCInventors: Gregory Sean Corrado, Ilya Sutskever, Jeffrey Adgate Dean
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Patent number: 10402721Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using recurrent neural networks to analyze health events. One of the methods includes: processing each of a plurality of initial temporal sequences of health events to generate, for each of the initial temporal sequences, a respective network internal state of a recurrent neural network for each time step in the initial temporal sequence; storing, for each of the initial temporal sequences, one or more of the network internal states for the time steps in the temporal sequence in a repository; obtaining a first temporal sequence; processing the first temporal sequence using the recurrent neural network to generate a sequence internal state for the first temporal sequence; and selecting one or more initial temporal sequences that are likely to include health events that are predictive of future health events in the first temporal sequence.Type: GrantFiled: May 15, 2017Date of Patent: September 3, 2019Assignee: Google LLCInventors: Gregory Sean Corrado, Jeffrey Adgate Dean
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Publication number: 20180367476Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.Type: ApplicationFiled: August 28, 2018Publication date: December 20, 2018Inventors: Phillip Neal Sharp, Prabhakar Raghavan, Thompson Alexander Ivor Gawley, Balint Miklos, Karol Kurach, Tobias Kaufmann, Gregory Sean Corrado, László Lukács
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Patent number: 10079785Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.Type: GrantFiled: February 12, 2015Date of Patent: September 18, 2018Assignee: GOOGLE LLCInventors: Phillip Neal Sharp, Prabhakar Raghavan, Thompson Alexander Ivor Gawley, Balint Miklos, Karol Kurach, Tobias Kaufmann, Gregory Sean Corrado, László Lukács
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Patent number: 9852363Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating labeled images. One of the methods includes selecting a plurality of candidate videos from videos identified in a response to a search query derived from a label for an object category; selecting one or more initial frames from each of the candidate videos; detecting one or more initial images of objects in the object category in the initial frames; for each initial frame including an initial image of an object in the object category, tracking the object through surrounding frames to identify additional images of the object; and selecting one or more images from the one or more initial images and one or more additional images as database images of objects belonging to the object category.Type: GrantFiled: January 5, 2016Date of Patent: December 26, 2017Assignee: Google Inc.Inventors: Jonathon Shlens, Quoc V. Le, Gregory Sean Corrado, Marc'Aurelio Ranzato