Patents by Inventor Mayank Singh

Mayank Singh 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: 11074477
    Abstract: A computing system and method for identifying related visual content of a collection of visual media files comprising one or more image files and video files includes monitoring inputs to the computing system, the inputs associated with a user interaction with electronic content using the computer system, identifying a visual media file in the collection of visual media files relevant to the electronic content based on a semantic label assigned to the visual media file by the computing system, creating a representative image of the identified visual media file, and displaying the representative image for selection. The computing system enables a selection of the displayed representative image for association of the identified visual media file with the electronic content.
    Type: Grant
    Filed: July 20, 2017
    Date of Patent: July 27, 2021
    Assignee: SRI International
    Inventors: Harpreet Singh Sawhney, Jayakrishnan Eledath, Mayank Bansal, Bogdan C. Matei, Xutao Lv, Chaitanya Desai, Timothy Shields
  • Publication number: 20210182149
    Abstract: Stabilizing a container-based application includes determining a health of a container. Based on the container health, a most recent stable version of an image for the container is identified. A container image is considered stable if containers spawned from the image have a relatively high MTTF and relatively low MTTR compared to other versions of same image. The container is then deployed using the most recent stable version of the image for the container.
    Type: Application
    Filed: March 2, 2021
    Publication date: June 17, 2021
    Inventors: Ambika NAIR, Mayank Singh SACHAN
  • Patent number: 11016854
    Abstract: Stabilizing a container-based application includes determining a health of a container. Based on the container health, a most recent stable version of an image for the container is identified. A container image is considered stable if containers spawned from the image have a relatively high MTTF and relatively low MTTR compared to other versions of same image. The container is then deployed using the most recent stable version of the image for the container.
    Type: Grant
    Filed: November 28, 2018
    Date of Patent: May 25, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ambika Nair, Mayank Singh Sachan
  • Publication number: 20210124993
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for training a classification neural network to classify digital images in few-shot tasks based on self-supervision and manifold mixup. For example, the disclosed systems can train a feature extractor as part of a base neural network utilizing self-supervision and manifold mixup. Indeed, the disclosed systems can apply manifold mixup regularization over a feature manifold learned via self-supervised training such as rotation training or exemplar training. Based on training the feature extractor, the disclosed systems can also train a classifier to classify digital images into novel classes not present within the base classes used to train the feature extractor.
    Type: Application
    Filed: October 23, 2019
    Publication date: April 29, 2021
    Inventors: Mayank Singh, Puneet Mangla, Nupur Kumari, Balaji Krishnamurthy, Abhishek Sinha
  • Publication number: 20210079301
    Abstract: The present invention provides fire-retarded rigid polyurethane foam comprising the reaction product of polyol and isocyanate foam forming components and a dialkyl phosphorus-containing compound, namely a reactive mono-hydroxyl-functional dialkyl phosphinates, as flame retardant, serving as highly efficient reactive flame retardant in said rigid polyurethane foam.
    Type: Application
    Filed: July 23, 2018
    Publication date: March 18, 2021
    Inventors: Andrew PIOTROWSKI, Joseph ZILBERMAN, Jeffrey STOWELL, Mark GELMONT, Mayank SINGH, Zhihao CHEN, Eran GLUZ
  • Patent number: 10899911
    Abstract: The present invention provides dialkyl phosphorus-containing compounds, namely reactive mono-hydroxyl-functional dialkyl phosphinates, serving as highly efficient reactive flame retardants in flexible polyurethane foams. The invention further provides fire-retarded polyurethane compositions comprising said the reaction product of the mono-hydroxyl-functional dialkyl phosphinates with polyol and isocyanate foam forming components.
    Type: Grant
    Filed: December 20, 2018
    Date of Patent: January 26, 2021
    Assignee: ICL-IP America Inc.
    Inventors: Andrew Piotrowski, Joseph Zilberman, Jeffrey Stowell, Mark Gelmont, Mayank Singh, Zhihao Chen, Eran Gluz
  • Patent number: 10730995
    Abstract: The present invention provides novel cyclic phosphorus-containing compounds, namely hydroxyl-functional phospholene-1-oxides, serving as highly efficient reactive flame retardants in urethane systems, particularly in flexible polyurethane foams, semi-rigid and rigid polyurethane and polyisocyanurate foams. The invention further provides fire-retarded polyurethane compositions comprising said hydroxyl-functional phospholene-1-oxides.
    Type: Grant
    Filed: November 10, 2016
    Date of Patent: August 4, 2020
    Assignee: ICL-IP America Inc.
    Inventors: Joseph Zilberman, Andrew Piotrowski, Eran Gluz, Jeffrey Stowell, Mark Gelmont, Zhihao Chen, Mayank Singh
  • Patent number: 10723833
    Abstract: The present invention provides novel cyclic phosphorus-containing compounds, namely hydroxyl-functional phospholene-1-oxides, serving as highly efficient reactive flame retardants in urethane systems, particularly in flexible polyurethane foams, rigid polyurethane foams and rigid polyisocyanurate foams. The invention further provides fire-retarded polyurethane compositions comprising said hydroxyl-functional phospholene-1-oxides.
    Type: Grant
    Filed: November 10, 2016
    Date of Patent: July 28, 2020
    Assignee: ICL-IP America Inc.
    Inventors: Joseph Zilberman, Andrew Piotrowski, Eran Gluz, Jeffrey Stowell, Mark Gelmont, Zhihao Chen, Mayank Singh
  • Publication number: 20200234110
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating trained neural network with increased robustness against adversarial attacks by utilizing a dynamic dropout routine and/or a cyclic learning rate routine. For example, the disclosed systems can determine a dynamic dropout probability distribution associated with neurons of a neural network. The disclosed systems can further drop neurons from a neural network based on the dynamic dropout probability distribution to help neurons learn distinguishable features. In addition, the disclosed systems can utilize a cyclic learning rate routine to force copy weights of a copy neural network away from weights of an original neural network without decreasing prediction accuracy to ensure that the decision boundaries learned are different.
    Type: Application
    Filed: January 22, 2019
    Publication date: July 23, 2020
    Inventors: Mayank Singh, Nupur Kumari, Dhruv Khattar, Balaji Krishnamurthy, Abhishek Sinha
  • Publication number: 20200167234
    Abstract: Stabilizing a container-based application includes determining a health of a container. Based on the container health, a most recent stable version of an image for the container is identified. A container image is considered stable if containers spawned from the image have a relatively high MTTF and relatively low MTTR compared to other versions of same image. The container is then deployed using the most recent stable version of the image for the container.
    Type: Application
    Filed: November 28, 2018
    Publication date: May 28, 2020
    Inventors: Ambika NAIR, Mayank Singh SACHAN
  • Patent number: 10609434
    Abstract: Machine-learning based multi-step engagement strategy generation and visualization is described. Rather than rely heavily on human involvement to create delivery strategies, the described learning-based engagement system generates multi-step engagement strategies by leveraging machine-learning models trained using data describing historical user interactions with content delivered in connection with historical campaigns. Initially, the learning-based engagement system obtains data describing an entry condition and an exit condition for a campaign. Based on the entry and exit condition, the learning-based engagement system utilizes the machine-learning models to generate a multi-step engagement strategy, which describes a sequence of content deliveries that are to be served to a particular client device user (or segment of client device users).
    Type: Grant
    Filed: August 7, 2018
    Date of Patent: March 31, 2020
    Assignee: Adobe Inc.
    Inventors: Pankhri Singhai, Sundeep Parsa, Piyush Gupta, Nikaash Puri, Eshita Shah, Balaji Krishnamurthy, Nupur Kumari, Mayank Singh, Akash Rupela
  • Publication number: 20200092593
    Abstract: Machine-learning based multi-step engagement strategy generation and visualization is described. Rather than rely heavily on human involvement to create delivery strategies, the described learning-based engagement system generates multi-step engagement strategies by leveraging machine-learning models trained using data describing historical user interactions with content delivered in connection with historical campaigns. Initially, the learning-based engagement system obtains data describing an entry condition and an exit condition for a campaign. Based on the entry and exit condition, the learning-based engagement system utilizes the machine-learning models to generate a multi-step engagement strategy, which describes a sequence of content deliveries that are to be served to a particular client device user (or segment of client device users).
    Type: Application
    Filed: November 25, 2019
    Publication date: March 19, 2020
    Applicant: Adobe Inc.
    Inventors: Pankhri Singhai, Sundeep Parsa, Piyush Gupta, Nikaash Puri, Eshita Shah, Balaji Krishnamurthy, Nupur Kumari, Mayank Singh, Akash Rupela
  • Publication number: 20200051118
    Abstract: Machine-learning based multi-step engagement strategy modification is described. Rather than rely heavily on human involvement to manage content delivery over the course of a campaign, the described learning-based engagement system modifies a multi-step engagement strategy, originally created by an engagement-system user, by leveraging machine-learning models. In particular, these leveraged machine-learning models are trained using data describing user interactions with delivered content as those interactions occur over the course of the campaign. Initially, the learning-based engagement system obtains a multi-step engagement strategy created by an engagement-system user. As the multi-step engagement strategy is deployed, the learning-based engagement system randomly adjusts aspects of the sequence of deliveries for some users.
    Type: Application
    Filed: August 7, 2018
    Publication date: February 13, 2020
    Applicant: Adobe Inc.
    Inventors: Pankhri Singhai, Sundeep Parsa, Piyush Gupta, Nupur Kumari, Nikaash Puri, Mayank Singh, Eshita Shah, Balaji Krishnamurthy, Akash Rupela
  • Publication number: 20200053403
    Abstract: Machine-learning based multi-step engagement strategy generation and visualization is described. Rather than rely heavily on human involvement to create delivery strategies, the described learning-based engagement system generates multi-step engagement strategies by leveraging machine-learning models trained using data describing historical user interactions with content delivered in connection with historical campaigns. Initially, the learning-based engagement system obtains data describing an entry condition and an exit condition for a campaign. Based on the entry and exit condition, the learning-based engagement system utilizes the machine-learning models to generate a multi-step engagement strategy, which describes a sequence of content deliveries that are to be served to a particular client device user (or segment of client device users).
    Type: Application
    Filed: August 7, 2018
    Publication date: February 13, 2020
    Applicant: Adobe Inc.
    Inventors: Pankhri Singhai, Sundeep Parsa, Piyush Gupta, Nikaash Puri, Eshita Shah, Balaji Krishnamurthy, Nupur Kumari, Mayank Singh, Akash Rupela
  • Publication number: 20190119468
    Abstract: The present invention provides dialkyl phosphorus-containing compounds, namely reactive mono-hydroxyl-functional dialkyl phosphinates, serving as highly efficient reactive flame retardants in flexible polyurethane foams. The invention further provides fire-retarded polyurethane compositions comprising said the reaction product of the mono-hydroxyl-functional dialkyl phosphinates with polyol and isocyanate foam forming components.
    Type: Application
    Filed: December 20, 2018
    Publication date: April 25, 2019
    Inventors: Andrew PIOTROWSKI, Joseph ZILBERMAN, Jeffrey STOWELL, Mark GELMONT, Mayank SINGH, Zhihao CHEN, Eran GLUZ
  • Patent number: 10208187
    Abstract: The present invention provides dialkyl phosphorus-containing compounds, namely reactive mono-hydroxyl-functional dialkyl phosphinates, serving as highly efficient reactive flame retardants in flexible polyurethane foams. The invention further provides fire-retarded polyurethane compositions comprising said the reaction product of the mono-hydroxyl-functional dialkyl phosphinates with polyol and isocyanate foam forming components.
    Type: Grant
    Filed: July 23, 2018
    Date of Patent: February 19, 2019
    Assignee: ICL-IP America Inc.
    Inventors: Andrew Piotrowski, Joseph Zilberman, Jeffrey Stowell, Mark Gelmont, Mayank Singh, Zhihao Chen, Eran Gluz
  • Publication number: 20190042273
    Abstract: A rules engine is provided that can work with various heterogeneous calling applications. Such a rules engine can be part of a larger framework which, for example, can provide calibration alerts and the like when certain rule conditions are met. In some implementations, the framework can allow for the identification and mitigation of bias against certain employees and/or classes of employees within a larger organization.
    Type: Application
    Filed: August 4, 2017
    Publication date: February 7, 2019
    Inventors: Ke Chen, Feng Sun, Yu Jian Zhan, Zhongyuan Huang, He Wang, JunKai Luo, Jackie Burton, Brenda Reid, Mayank Singh, Jia Lin Dai, Pan Zhang, Qian Liu, Bernhard Thimmel, Martin Scholz, Heike Klews, Johannes Fenzl, Simic Zhang
  • Publication number: 20190023873
    Abstract: The present invention provides dialkyl phosphorus-containing compounds, namely reactive mono-hydroxyl-functional dialkyl phosphinates, serving as highly efficient reactive flame retardants in flexible polyurethane foams. The invention further provides fire-retarded polyurethane compositions comprising said the reaction product of the mono-hydroxyl-functional dialkyl phosphinates with polyol and isocyanate foam forming components.
    Type: Application
    Filed: July 23, 2018
    Publication date: January 24, 2019
    Inventors: Andrew Piotrowski, Joseph Zilberman, Jeffrey Stowell, Mark Gelmont, Mayank Singh, Zhihao Chen, Eran Gluz
  • Publication number: 20180319927
    Abstract: The present invention provides novel cyclic phosphorus-containing compounds, namely hydroxyl-functional phospholene-1-oxides, serving as highly efficient reactive flame retardants in urethane systems, particularly in flexible polyurethane foams, semi-rigid and rigid polyurethane and polyisocyanurate foams. The invention further provides fire-retarded polyurethane compositions comprising said hydroxyl-functional phospholene-1-oxides.
    Type: Application
    Filed: November 10, 2016
    Publication date: November 8, 2018
    Inventors: Joseph ZILBERMAN, Andrew PIOTROWSKI, Eran GLUZ, Jeffrey STOWELL, Mark GELMONT, Zhihao CHEN, Mayank SINGH
  • Publication number: 20180319947
    Abstract: The present invention provides novel cyclic phosphorus-containing compounds, namely hydroxyl-functional phospholene-1-oxides, serving as highly efficient reactive flame retardants in urethane systems, particularly in flexible polyurethane foams, rigid polyurethane foams and rigid polyisocyanurate foams. The invention further provides fire-retarded polyurethane compositions comprising said hydroxyl-functional phospholene-1-oxides.
    Type: Application
    Filed: November 10, 2016
    Publication date: November 8, 2018
    Inventors: Joseph ZILBERMAN, Andrew PIOTROWSKI, Eran GLUZ, Jeffrey STOWELL, Mark GLEMONT, Zhihao CHEN, Mayank SINGH