Patents by Inventor Samarth Bharadwaj

Samarth Bharadwaj 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: 12182508
    Abstract: A question answering bot that digests non-relational data tables is provided. A processor receives a question regarding a non-relational data table. A processor extracts at least one feature of the question using a natural language processing (NLP) model. A processor extracts at least one similar feature of the non-relational data table to the extracted at least one feature of the question. A processor determines at least one relevant cell in the non-relational data table based on the at least one feature of the question and the at least one similar feature of the non-relational data table. A processor provides an answer to the question, where the answer is based on the at least one relevant cell.
    Type: Grant
    Filed: March 25, 2022
    Date of Patent: December 31, 2024
    Assignee: International Business Machines Corporation
    Inventors: Vishwajeet Kumar, Jaydeep Sen, Samarth Bharadwaj, Saneem Ahmed Chemmengath, Ioannis Katsis, Mustafa Canim
  • Patent number: 12094459
    Abstract: Methods, systems, and computer program products for automated domain-specific constrained decoding from speech inputs to structured resources are provided herein.
    Type: Grant
    Filed: January 5, 2022
    Date of Patent: September 17, 2024
    Assignee: International Business Machines Corporation
    Inventors: Ashish R Mittal, Samarth Bharadwaj, Shreya Khare, Karthik Sankaranarayanan
  • Patent number: 12050877
    Abstract: Methods, systems, and computer program products for providing a contextual dialogue framework over dynamic tables are provided herein. A computer-implemented method includes maintaining a context space for a natural language conversation of a user, wherein the context space comprises a dynamic set of one or more tables used for processing at least one query of the natural language conversation; obtaining an additional table associated with an additional query of the natural language conversation; discovering one or more implicit links between the additional table and the dynamic set of tables; updating the context space with the one or more implicit links; and answering the additional query based at least in part on the updated context space.
    Type: Grant
    Filed: December 6, 2021
    Date of Patent: July 30, 2024
    Assignee: International Business Machines Corporation
    Inventors: Jaydeep Sen, Samarth Bharadwaj, Saneem Ahmed Chemmengath, Vishwajeet Kumar
  • Publication number: 20240197593
    Abstract: Disclosed is an aqueous sulphate-free cleansing composition for female intimate hygiene, said composition comprising: a) 1 to 20 wt % of a non-soap surfactant system comprising combination two or more sulphate-free surfactants selected from glycinates, betaines, alkyl polyglucosides and amphoacetates; b) 0.05 to 4 wt % of a prebiotic capable of being broken down by Lactobacilli to lactic acid; and, c) 0.001 to 3 wt % lactic acid or a salt thereof added as a postbiotic; wherein said composition is free of live bacteria including Lactobacilli.
    Type: Application
    Filed: April 14, 2022
    Publication date: June 20, 2024
    Applicant: Conopco, Inc., d/b/a UNILEVER
    Inventors: Samarth BHARADWAJ, Sandeep GUPTA, Renu KAPOOR, Rupak MITRA, Rohini Sukumaran NAIR, Lin YANG, Ashish Shrikant YEKHE
  • Publication number: 20230419950
    Abstract: A method, system, and computer program product for automated artificial intelligence (AI) factsheet generation for modeling and model customization in speech to text (STT) services. The method receives audio data for a user. The audio data contains human speech. Text data is generated, using a first speech to text model, to represent the human speech of the audio data. A set of transcription errors of the first speech to text model are identified. A set of AI factsheets are generated to describe model metadata for the first speech to text model. Based on the set of transcription errors and the set of AI factsheets, the method generates a second speech to text model customized to the user.
    Type: Application
    Filed: June 27, 2022
    Publication date: December 28, 2023
    Inventors: Shreya Khare, Ashish R. Mittal, Saneem Ahmed Chemmengath, Samarth Bharadwaj, Karthik Sankaranarayanan
  • Publication number: 20230410682
    Abstract: A method, a structure, and a computer system for multilingual learning. The exemplary embodiments may include training, for each language in a set of two or more languages, a model for a task and identifying one or more important words appearing in at least two of the models. The exemplary embodiments may further include weighting one or more conflicts and one or more overlaps between the one or more important words, as well as generating a cluster of at least two languages of the set based on an aggregate of the weighting.
    Type: Application
    Filed: June 20, 2022
    Publication date: December 21, 2023
    Inventors: Tejas Indulal Dhamecha, Samarth Bharadwaj, Rudra Murthy Venkataramana, Jaydeep Sen, Anupama Ray
  • Publication number: 20230360643
    Abstract: An automatic speech recognition (ASR) computing system and methodology are provided to predict a textual representation of received input speech data. A context acoustic biasing (CAB) engine of the ASR computing system receives historical textual content and an ontology data structure. The CAB engine matches key terms identified in the historical textual content with concepts present in the ontology data structure to generate a contextual term list data structure comprising the concept terms related to concepts matching the key terms. The CAB engine generates acoustic representations of the concept terms in the contextual term list data structure and inputs them to an ASR computer model of the ASR computing system which processes an input speech signal to generate a predicted textual representation of the input speech signal. The predicted textual representation is biased towards the acoustic representations of the concept terms in the contextual term list data structure.
    Type: Application
    Filed: May 3, 2022
    Publication date: November 9, 2023
    Inventors: Ashish R. Mittal, Samarth Bharadwaj, Shreya Khare
  • Publication number: 20230306199
    Abstract: A question answering bot that digests non-relational data tables is provided. A processor receives a question regarding a non-relational data table. A processor extracts at least one feature of the question using a natural language processing (NLP) model. A processor extracts at least one similar feature of the non-relational data table to the extracted at least one feature of the question. A processor determines at least one relevant cell in the non-relational data table based on the at least one feature of the question and the at least one similar feature of the non-relational data table. A processor provides an answer to the question, where the answer is based on the at least one relevant cell.
    Type: Application
    Filed: March 25, 2022
    Publication date: September 28, 2023
    Inventors: Vishwajeet Kumar, Jaydeep Sen, Samarth Bharadwaj, Saneem Ahmed Chemmengath, Ioannis Katsis, Mustafa Canim
  • Publication number: 20230215427
    Abstract: Methods, systems, and computer program products for automated domain-specific constrained decoding from speech inputs to structured resources are provided herein.
    Type: Application
    Filed: January 5, 2022
    Publication date: July 6, 2023
    Inventors: Ashish R. Mittal, Samarth Bharadwaj, Shreya Khare, Karthik Sankaranarayanan
  • Publication number: 20230186147
    Abstract: Methods, systems, and computer program products for automated few-shot learning techniques for artificial intelligence-based query answering systems are provided herein. A computer-implemented method includes obtaining multiple sets of queries and answers associated with one or more tables; determining a level of complexity attributed to at least a portion of the queries from the multiple sets of queries and answers; determining, based at least in part on the determined level of complexity attributed to the at least a portion of the queries, one or more new queries for use in training at least one artificial intelligence-based query answering system; facilitating annotation of the one or more new queries; training the at least one artificial intelligence-based query answering system using at least a portion of the one or more annotated new queries; and performing at least one automated action using the at least one trained artificial intelligence-based query answering system.
    Type: Application
    Filed: December 13, 2021
    Publication date: June 15, 2023
    Inventors: Jaydeep Sen, Saneem Ahmed Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj
  • Publication number: 20230177277
    Abstract: Methods, systems, and computer program products for providing a contextual dialogue framework over dynamic tables are provided herein. A computer-implemented method includes maintaining a context space for a natural language conversation of a user, wherein the context space comprises a dynamic set of one or more tables used for processing at least one query of the natural language conversation; obtaining an additional table associated with an additional query of the natural language conversation; discovering one or more implicit links between the additional table and the dynamic set of tables; updating the context space with the one or more implicit links; and answering the additional query based at least in part on the updated context space.
    Type: Application
    Filed: December 6, 2021
    Publication date: June 8, 2023
    Inventors: Jaydeep Sen, Samarth Bharadwaj, Saneem Ahmed Chemmengath, Vishwajeet Kumar
  • Publication number: 20230169363
    Abstract: Methods, systems, and computer program products for automatically generating factsheets for artificial intelligence-based question answering systems are provided herein.
    Type: Application
    Filed: November 30, 2021
    Publication date: June 1, 2023
    Inventors: Jaydeep Sen, Saneem Ahmed Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj
  • Publication number: 20220309107
    Abstract: Methods, systems, and computer program products for self-supervision in table question answering are provided herein. A computer-implemented method includes obtaining a table comprising a plurality of entries, wherein each entry corresponds to a particular column and particular row of the table; identifying one or more of the entries in the table that correspond to a target answer of a natural language query; generating an intermediate representation of the table comprising the rows corresponding to the identified one or more entries, wherein the intermediate representation masks each of the identified one or more entries; and generating a set of natural language question and answer pairs based on the intermediate representation.
    Type: Application
    Filed: March 29, 2021
    Publication date: September 29, 2022
    Inventors: Jaydeep Sen, Saneem Ahmed Chemmengath, Samarth Bharadwaj, Vishwajeet Kumar, Mustafa Canim
  • Patent number: 11250602
    Abstract: Methods, systems, and computer program products for generating concept images of human poses using machine learning models are provided herein. A computer-implemented method includes identifying events from input data by applying a machine learning recognition model to at least a portion of the input data, wherein the identifying comprises (i) detecting multiple entities from the input data and (ii) determining behavioral relationships among at least a portion of the multiple entities; generating, using a machine learning interpretability model and at least a portion of the identified events, images illustrating human poses related to at least a portion of the identified events; outputting at least a portion of the generated images to a user; and updating the machine learning recognition model based at least in part on (i) at least a portion of the generated images and (ii) input from the user.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: February 15, 2022
    Assignee: International Business Machines Corporation
    Inventors: Samarth Bharadwaj, Saneem Chemmengath, Suranjana Samanta, Karthik Sankaranarayanan
  • Patent number: 11009389
    Abstract: Methods, systems, and computer program products for operating re-configurable solar energy generators for increasing yield during non-ideal weather conditions are provided herein. A computer-implemented method includes determining, for each of multiple portions of the sky, by using one or more machine learning algorithms, a respective level of diffuse irradiance corresponding to image data from that portion; identifying one or more portions of the image data corresponding to the multiple portions of sky image data that include a higher level of diffuse irradiance, as compared to other portions of the image data; and configuring one or more solar photovoltaic modules based at least in part on the one or more identified portions of image data that include a higher level of diffuse irradiance.
    Type: Grant
    Filed: July 9, 2018
    Date of Patent: May 18, 2021
    Assignee: International Business Machines Corporation
    Inventors: Talha Ahmad Siddiqui, Samarth Bharadwaj, Shivkumar Kalyanaraman
  • Publication number: 20210118206
    Abstract: Methods, systems, and computer program products for generating concept images of human poses using machine learning models are provided herein. A computer-implemented method includes identifying events from input data by applying a machine learning recognition model to at least a portion of the input data, wherein the identifying comprises (i) detecting multiple entities from the input data and (ii) determining behavioral relationships among at least a portion of the multiple entities; generating, using a machine learning interpretability model and at least a portion of the identified events, images illustrating human poses related to at least a portion of the identified events; outputting at least a portion of the generated images to a user; and updating the machine learning recognition model based at least in part on (i) at least a portion of the generated images and (ii) input from the user.
    Type: Application
    Filed: December 30, 2020
    Publication date: April 22, 2021
    Inventors: Samarth Bharadwaj, Saneem Chemmengath, Suranjana Samanta, Karthik Sankaranarayanan
  • Publication number: 20210056736
    Abstract: Methods, systems, and computer program products for generating concept images of human poses using machine learning models are provided herein. A computer-implemented method includes identifying one or more events from input data by applying a machine learning recognition model to the input data, wherein the identifying comprises (i) detecting multiple entities from the input data and (ii) determining one or more behavioral relationships among the multiple entities in the input data; generating, using a machine learning interpretability model and the identified events, one or more images illustrating one or more human poses related to the identified events; outputting the one or more generated images to at least one user; and updating the machine learning recognition model based at least in part on (i) the one or more generated images and (ii) input from the at least one user.
    Type: Application
    Filed: August 22, 2019
    Publication date: February 25, 2021
    Inventors: Samarth Bharadwaj, Saneem Chemmengath, Suranjana Samanta, Karthik Sankaranarayanan
  • Patent number: 10930032
    Abstract: Methods, systems, and computer program products for generating concept images of human poses using machine learning models are provided herein. A computer-implemented method includes identifying one or more events from input data by applying a machine learning recognition model to the input data, wherein the identifying comprises (i) detecting multiple entities from the input data and (ii) determining one or more behavioral relationships among the multiple entities in the input data; generating, using a machine learning interpretability model and the identified events, one or more images illustrating one or more human poses related to the identified events; outputting the one or more generated images to at least one user; and updating the machine learning recognition model based at least in part on (i) the one or more generated images and (ii) input from the at least one user.
    Type: Grant
    Filed: August 22, 2019
    Date of Patent: February 23, 2021
    Assignee: International Business Machines Corporation
    Inventors: Samarth Bharadwaj, Saneem Chemmengath, Suranjana Samanta, Karthik Sankaranarayanan
  • Patent number: 10546313
    Abstract: Methods, systems, and computer program products for determining sensor placement and a reward sharing mechanism based on shared energy forecasting information are provided herein. A computer-implemented method includes processing multiple data streams derived from multiple respective energy-related sensors within a network, wherein each of the multiple energy-related sensors is linked to a respective one of multiple spatially distributed prosumers of the network; computing an expected utility, with respect to forecast accuracy of energy production within the network, of information captured by each of the multiple energy-related sensors based on said processing; determining a reward structure for each of the prosumers of the network based on the expected utility of the information captured by the energy-related sensors linked to each of the prosumers; and outputting a reward to each of the prosumers of the network in accordance with the determined reward structure.
    Type: Grant
    Filed: August 9, 2016
    Date of Patent: January 28, 2020
    Assignee: International Business Machines Corporation
    Inventors: Samarth Bharadwaj, Pankaj Dayama, Shivkumar Kalyanaraman, Pratyush Kumar
  • Publication number: 20200011731
    Abstract: Methods, systems, and computer program products for operating re-configurable solar energy generators for increasing yield during non-ideal weather conditions are provided herein. A computer-implemented method includes determining, for each of multiple portions of the sky, by using one or more machine learning algorithms, a respective level of diffuse irradiance corresponding to image data from that portion; identifying one or more portions of the image data corresponding to the multiple portions of sky image data that include a higher level of diffuse irradiance, as compared to other portions of the image data; and configuring one or more solar photovoltaic modules based at least in part on the one or more identified portions of image data that include a higher level of diffuse irradiance.
    Type: Application
    Filed: July 9, 2018
    Publication date: January 9, 2020
    Inventors: Talha Ahmad Siddiqui, Samarth Bharadwaj, Shivkumar Kalyanaraman