Patents by Inventor Amit Srivastava

Amit Srivastava 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).

  • Publication number: 20240103081
    Abstract: A method of monitoring main contact conditions of main contacts in an automatic transfer switch is provided. The automatic transfer switch is coupled to a plurality of electrical power sources and an electrical load. The method includes: measuring, by sensors, temperatures of a plurality of main contacts coupled to the plurality of power sources; determining if the measured temperatures indicate a temperature rise at one or more main contacts of the plurality of main contacts; in response to determining that the measured temperatures indicate a temperature rise at the one or more main contacts, comparing a current value of the temperature rise with stored temperature rise values that represent main contact damages; and determining an amount of main contact damage at the one or more main contacts based on the comparison.
    Type: Application
    Filed: September 23, 2022
    Publication date: March 28, 2024
    Applicant: EATON INTELLIGENT POWER LIMITED
    Inventors: Jagdambika Srivastava, Yashwant Gangadhar Gaikwad, Amit Govind Kolge, Ramya Jayanthi, Joshua David Myers, Mark A. Gould, Charlie E. Hume
  • Publication number: 20240095490
    Abstract: Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data is then received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.
    Type: Application
    Filed: November 29, 2023
    Publication date: March 21, 2024
    Applicant: eBay Inc.
    Inventors: Farah Abdallah, Robert Enyedi, Amit Srivastava, Elaine Lee, Braddock Craig Gaskill, Tomer Lancewicki, Xinyu Zhang, Jayanth Vasudevan, Dominique Jean Bouchon
  • Patent number: 11928428
    Abstract: Understanding emojis in the context of online experiences is described. In at least some embodiments, text input is received and a vector representation of the text input is computed. Based on the vector representation, one or more emojis that correspond to the vector representation of the text input are ascertained and a response is formulated that includes at least one of the one or more emojis. In other embodiments, input from a client machine is received. The input includes at least one emoji. A computed vector representation of the emoji is used to look for vector representations of words or phrases that are close to the computed vector representation of the emoji. At least one of the words or phrases is selected and at least one task is performed using the selected word(s) or phrase(s).
    Type: Grant
    Filed: March 13, 2023
    Date of Patent: March 12, 2024
    Assignee: eBay Inc.
    Inventors: Dishan Gupta, Ajinkya Gorakhnath Kale, Stefan Boyd Schoenmackers, Amit Srivastava
  • Patent number: 11909922
    Abstract: The present disclosure relates to processing operations configured to provide processing that automatically analyzes acoustic signals from attendees of a live presentation and automatically triggers corresponding reaction indications from results of analysis thereof. Exemplary reaction indications provide feedback for live presentations that can be presented in real-time (or near real-time) without requiring a user to manually take action to provide any feedback. As a non-limiting example, reaction indications may be presented in a form that is easy to visualize and understand such as emojis or icons. Another example of a reaction indication is a graphical user interface (GUI) notification that provides a predictive indication of user intent derived from analysis of acoustic signals.
    Type: Grant
    Filed: January 18, 2023
    Date of Patent: February 20, 2024
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Ji Li, Amit Srivastava, Derek Martin Johnson, Priyanka Vikram Sinha, Konstantin Seleskerov, Gencheng Wu
  • Publication number: 20240050572
    Abstract: The present disclosure provides polysorbate 20 compositions with particular fatty acid ester concentrations. In some embodiments, they may be used in pharmaceutical formulations, for example, to improve stability.
    Type: Application
    Filed: October 26, 2023
    Publication date: February 15, 2024
    Applicant: Genentech, Inc.
    Inventors: Sandeep Yadav, Nidhi Doshi, Tomanna Shobha, Anthony Tomlinson, Amit Srivastava
  • Patent number: 11900052
    Abstract: The present disclosure applies trained artificial intelligence (AI) processing adapted to automatically generating transformations of formatted templates. Pre-existing formatted templates (e.g., slide-based presentation templates) are leveraged by the trained AI processing to automatically generate a plurality of high-quality template transformations. In transforming a formatted template, the trained AI processing not only generates feature transformation of objects thereof but may also provide style transformations where attributes associated with a presentation theme may be modified for a formatted template or set of formatted templates. The trained AI processing is novel in that it is tailored for analysis of feature data of a specific type of formatted template.
    Type: Grant
    Filed: November 11, 2020
    Date of Patent: February 13, 2024
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Ji Li, Amit Srivastava, Mingxi Cheng
  • Patent number: 11875241
    Abstract: Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data, is then be received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.
    Type: Grant
    Filed: August 31, 2021
    Date of Patent: January 16, 2024
    Assignee: eBay Inc.
    Inventors: Farah Abdallah, Robert Enyedi, Amit Srivastava, Elaine Lee, Braddock Craig Gaskill, Tomer Lancewicki, Xinyu Zhang, Jayanth Vasudevan, Dominique Jean Bouchon
  • Publication number: 20240013790
    Abstract: A method and system for enhancing pronunciation during a speech, the method including receiving audio data, the audio data including a speech, performing at least one of acoustic scoring and language scoring on the speech, determining a pronunciation score of one or more words of the speech based on the acoustic scoring and the language scoring, determining that the pronunciation score for the word does not satisfy a threshold score, responsive to determining that the pronunciation score does satisfy the threshold score, identifying the word as mispronounced, and responsive to identifying the word as mispronounced, outputting the word and the pronunciation score thereof.
    Type: Application
    Filed: May 28, 2021
    Publication date: January 11, 2024
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Runnan LI, Sheng ZHAO, Amit SRIVASTAVA, Huakai LIAO, Ana PARRA, Tapan BOHRA, Akshay MALLIPEDDI, Siliang KANG, Lisha MA, Yinhe WEI
  • Patent number: 11841911
    Abstract: A data processing system implements receiving query text for a search query for textual content recommendation. The query text includes one or more words indicating a type of textual content items being sought. The system implements analyzing the query text using a first machine learning (ML) model to obtain encoded query text, where the first ML model is trained to identify features within the query text and to generate the encoded query text by mapping the features to a hyper-dimensional latent space (HDLS). The system implements identifying one or more content items in a database of encoded content items mapped to the HDLS that satisfy the search query by comparing attributes of the encoded query text with attributes of the encoded content items to identify content items that are closest to the encoded query text within the HDLS, and causing the one or more content items to be displayed.
    Type: Grant
    Filed: November 19, 2021
    Date of Patent: December 12, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ji Li, Amit Srivastava, Adit Krishnan, Aman Malik
  • Publication number: 20230395064
    Abstract: A computing apparatus comprises one or more computer readable storage media, one or more processors operatively coupled with the one or more computer readable storage media, and program instructions stored on the one or more computer readable storage media. The program instructions, when executed by the one or more processors, direct the computing apparatus to at least generate an audio recording of speech, extract features from the audio recording indicative of vocal patterns in the speech, determine a register classification of the speech based at least on the features, and display an indication of the register classification in a user interface.
    Type: Application
    Filed: June 7, 2022
    Publication date: December 7, 2023
    Inventors: Huakai LIAO, Ana PARRA, Gaurav Vinayak TENDOLKAR, Amit SRIVASTAVA, Siliang KANG
  • Patent number: 11833206
    Abstract: The present disclosure provides polysorbate 20 compositions with particular fatty acid ester concentrations. In some embodiments, they may be used in pharmaceutical formulations, for example, to improve stability.
    Type: Grant
    Filed: September 23, 2021
    Date of Patent: December 5, 2023
    Assignee: Genentech, Inc.
    Inventors: Sandeep Yadav, Nidhi Doshi, Tamanna Shobha, Anthony Tomlinson, Amit Srivastava
  • Publication number: 20230386109
    Abstract: A data processing system is implemented for receiving an image of a canvas, and detecting design features within the canvas by analyzing the image. The data processing system is implemented for determining an execution of a command by comparing the image to a current image of the canvas, and modifying the design features within the canvas to generate layouts in response to determining the execution of the command. Further, the data processing system is implemented for determining parameters of the modified design features, and determining a value for each layout by applying rules to the parameters of the modified design features. In addition, the data processing system is implemented for displaying the layouts based on the determined value for each layout to a user.
    Type: Application
    Filed: May 31, 2022
    Publication date: November 30, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Gaurav Vinayak TENDOLKAR, Amit SRIVASTAVA
  • Patent number: 11829375
    Abstract: Various methods and systems for determining a dominant object of a query and employing the dominant object to provide enhanced search services are discussed. A query is segmented into a set of n_grams. Entity extraction and resolution (EER) methods are employed to determine implicit and explicit aspects for each n_gram. N_grams that include explicit aspects are pruned from the set of n_grams and a pruned set of candidate n_grams is generated from the non-pruned n_grams. Knowledge graphs are employed to generate a ranked list of associated categories for each candidate n_gram. A ranked list of categories associated with the un-segmented query is generated based on knowledge graphs. The candidate n_gram with the highest ranked associated category that is also a highly ranked category associated with the un-segmented query is selected as the dominant object of the query. Enhanced search results are provided based on the determined dominant object.
    Type: Grant
    Filed: May 12, 2021
    Date of Patent: November 28, 2023
    Assignee: eBay Inc.
    Inventors: Ajinkya Gorakhnath Kale, Thrivikrama Taula, Amit Srivastava
  • Publication number: 20230325391
    Abstract: A system and method and for retrieving assets from a personalized asset library includes receiving a search query for searching for assets in one or more asset libraries, the one or more asset libraries including a personalized asset library; encoding the search query into embedding representations via a trained query representation machine-learning (ML) model; comparing, via a matching unit, the query embedding representations to a plurality of asset representations, each of the plurality of asset representations being a representation of one of the plurality of candidate assets; identifying, based on the comparison, at least one of the plurality of the candidate assets as a search result for the search query; and providing the identified plurality of candidate assets for display as the search result. The plurality of asset representations for the one or more assets in the personalized content library are generated automatically without human labeling.
    Type: Application
    Filed: April 8, 2022
    Publication date: October 12, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ji LI, Dachuan ZHANG, Amit SRIVASTAVA, Adit KRISHNAN
  • Publication number: 20230306087
    Abstract: A system and method and for retrieving one or more one or more multimodal assets includes receiving a search query for searching for one or more multimodal assets from among a plurality of candidate multimodal assets, encoding the search query into one or more query embedding representations via a trained query representation machine-learning (ML) model, comparing, via a matching unit, the one or more query embedding representations to a plurality of multimodal tensor representations, each of the plurality of multimodal tensor representations being a representation of one of the plurality of candidate multimodal assets, and identifying, based on the comparison, at least one of the plurality of the candidate multimodal assets as a search result for the search query, and providing the at least one of the plurality of the candidate multimodal assets for display as the search result.
    Type: Application
    Filed: March 24, 2022
    Publication date: September 28, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Adit KRISHNAN, Ji LI, Amit SRIVASTAVA
  • Publication number: 20230274096
    Abstract: A data processing system implements obtaining textual content in a first language from a first client device and segmenting the textual content into a plurality of first tokens. The system also implements translating the first tokens from the first language to a second language using a bilingual dictionary, extracting features information from the second tokens to create a features vector, providing the feature vector to a first natural language processing model trained to analyze textual input in the second language and to output contextual information indicating one or more topics or subject matter of the first textual content, and providing the contextual information to a first machine learning model configured to analyze the contextual information and to identify one or more content items predicted to be relevant to the contextual information. The system further implements providing the information identifying the one or more content items to the first client device.
    Type: Application
    Filed: February 25, 2022
    Publication date: August 31, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Tapan BOHRA, Ji Li, Amit Srivastava
  • Patent number: 11727270
    Abstract: A method and system for training a text-to-content recommendation ML model includes training a first ML model using a first training data set, utilizing the trained first ML model to infer information about the data contained in the first training data set, collecting the inferred information to generate a second training data set, and utilizing the first training data set and the second training data set to train a second ML model. The second ML model may be a text-to-content recommendation ML model.
    Type: Grant
    Filed: February 24, 2020
    Date of Patent: August 15, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ji Li, Amit Srivastava, Xingxing Zhang, Furu Wei, Ming Zhou
  • Publication number: 20230214590
    Abstract: Understanding emojis in the context of online experiences is described. In at least some embodiments, text input is received and a vector representation of the text input is computed. Based on the vector representation, one or more emojis that correspond to the vector representation of the text input are ascertained and a response is formulated that includes at least one of the one or more emojis. In other embodiments, input from a client machine is received. The input includes at least one emoji. A computed vector representation of the emoji is used to look for vector representations of words or phrases that are close to the computed vector representation of the emoji. At least one of the words or phrases is selected and at least one task is performed using the selected word(s) or phrase(s).
    Type: Application
    Filed: March 13, 2023
    Publication date: July 6, 2023
    Applicant: eBay Inc.
    Inventors: Dishan Gupta, Ajinkya Gorakhnath Kale, Stefan Boyd Schoenmackers, Amit Srivastava
  • Patent number: 11687708
    Abstract: Non-limiting examples of the present disclosure describe systems, methods, and devices for generating a design layout. In an embodiment, a design generator may present one or more templates comprising one or more design elements. In response to a selection of one or more of the templates, the design generator may generate a variation vector based on similarities and/or differences between the one or more design elements. In an embodiment, the design generator may generate a layering vector based on the one or more design elements. In response to subsequent selections, the design generator may generate subsequent templates by implementing the variation vector and/or the layering vector in association with the selected template(s). The design generator may store and/or otherwise capture the features of a selected template, and apply the features to future design projects.
    Type: Grant
    Filed: September 27, 2021
    Date of Patent: June 27, 2023
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Gaurav Vinayak Tendolkar, Amit Srivastava
  • Publication number: 20230169110
    Abstract: A system and method and for retrieving one or more visual assets includes receiving a search query for the one or more visual assets, the search query including textual data, encoding the textual data into one or more text embedding representations via a trained text representation machine-learning (ML) model, transmitting the one or more text embedding representations to a matching and selection unit, providing visual embedding representations of one or more visual assets to the matching and selection unit, comparing, by the matching and selection unit, the one or more text embedding representations to the visual embedding representations to identify one or more visual asset search results, and providing the one or more visual asset search results for display.
    Type: Application
    Filed: November 30, 2021
    Publication date: June 1, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ji LI, Adit KRISHNAN, Amit SRIVASTAVA, Han HU, Qi DAI, Yixuan WEI, Yue CAO