Patents by Inventor Pradeep Natarajan

Pradeep Natarajan 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: 11873328
    Abstract: The present disclosure pertains to novel Glucagon like Peptide-1 (GLP-1) (7-37) analogs having an amino acid sequence with Leu or Ile at the C-terminal. The new analogs are potent GLP-1 agonists with reduced adverse effect and improved duration of action. The present disclosure further relates to acylated derivatives of the new analogs which have further improved potency and duration of action and are suitable for oral administration. The analogs of present disclosure may be useful in treatment of diabetes and obesity.
    Type: Grant
    Filed: August 1, 2022
    Date of Patent: January 16, 2024
    Assignee: SUN PHARMACEUTICAL INDUSTRIES LIMITED
    Inventors: Rajamannar Thennati, Nishith Chaturvedi, Vinod Sampatrao Burade, Pradeep Dinesh Shahi, Muthukumaran Natarajan, Ravishankara Madavati Nagaraja, Rishit Mansukhlal Zalawadia, Vipulkumar Shankarbhai Patel, Kunal Pandya, Brijeshkumar Patel, Dhiren Rameshchandra Joshi, Krunal Harishbhai Soni, Abhishek Tiwari
  • Patent number: 11866477
    Abstract: The present disclosure pertains to novel Glucagon like Peptide-1 (GLP-1) (7-37) analogs having an amino acid sequence with Leu or Ile at the C-terminal. The new analogs are potent GLP-1 agonists with reduced adverse effect and improved duration of action. The present disclosure further relates to acylated derivatives of the new analogs which have further improved potency and duration of action and are suitable for oral administration. The analogs of present disclosure may be useful in treatment of diabetes and obesity.
    Type: Grant
    Filed: August 12, 2022
    Date of Patent: January 9, 2024
    Assignee: SUN PHARMACEUTICAL INDUSTRIES LIMITED
    Inventors: Rajamannar Thennati, Nishith Chaturvedi, Vinod Sampatrao Burade, Pradeep Dinesh Shahi, Muthukumaran Natarajan, Ravishankara Madavati Nagaraja, Rishit Mansukhlal Zalawadia, Vipulkumar Shankarbhai Patel, Kunal Pandya, Brijeshkumar Patel, Dhiren Rameshchandra Joshi, Krunal Harishbhai Soni, Abhishek Tiwari
  • Patent number: 11854116
    Abstract: Techniques for masking images based on a particular task are described. A system masks portions of an image that are not relevant to a particular task, thus, reducing the amount of data used by applications for image processing tasks. For example, images to be processed using a hair color classification model are masked so that only portions that show the person's hair are available for the model to analyze. The system configures different masker components to mask images for different tasks. A masker component can be implemented at a user device to mask images prior to sending to an application/task-specific model.
    Type: Grant
    Filed: May 10, 2022
    Date of Patent: December 26, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Vivek Yadav, Aayush Gupta, Yue Wu, Pradeep Natarajan, Ayush Jaiswal
  • Patent number: 11775617
    Abstract: Devices and techniques are generally described for class-agnostic object detection. In some examples, a first frame of image data comprising a first plurality of pixels may be received. First class-agnostic feature data representing the first plurality of pixels may be generated. A first object detection component may be used to determine that the first plurality of pixels corresponds to an arbitrary object represented in the first frame of image data based at least in part on the first class-agnostic feature data. Class-agnostic data indicating that the first plurality of pixels in the first frame of image data corresponds to the arbitrary object may be generated.
    Type: Grant
    Filed: March 15, 2021
    Date of Patent: October 3, 2023
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Premkumar Natarajan
  • Publication number: 20230290467
    Abstract: The invention features methods that are useful for treatment of a patient at increased risk for infection and for selecting a patient for treatment for an infection. In various embodiments, the infection is coronavirus disease 2019 (COVID-19), sepsis, or other respiratory infections.
    Type: Application
    Filed: March 14, 2023
    Publication date: September 14, 2023
    Applicants: The Broad Institute, Inc., The United States of America, as represented by the Secretary, Department of Health and Human Servic, Yale University, The General Hospital Corporation
    Inventors: Pradeep NATARAJAN, Giulio GENOVESE, Seyedeh Maryam ZEKAVAT, Mitchell J. MACHIELA, Shu-Hong LIN
  • Patent number: 11681364
    Abstract: An image processing system may receive image data from a camera of a user device and perform gaze prediction processing of the image data to predict one or more gaze patterns. The gaze prediction processing may include processing the image data using a neural network to detect faces and/or objects and generate an image feature map. The gaze prediction processing may include performing gaze direction prediction operations using the feature map and detected faces and/or objects to determine gaze direction probability data. The gaze prediction processing may include predicting a gaze pattern based on the gaze direction probability data and the image feature map. The gaze pattern may be short-term (e.g., atomic-level) or long-term (e.g., event-level).
    Type: Grant
    Filed: June 29, 2021
    Date of Patent: June 20, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Xu Zhang, Yue Wu, Varsha Hedau, Shih-Fu Chang, Pradeep Natarajan
  • Patent number: 11626107
    Abstract: Devices and techniques are generally described for inference reduction in natural language processing using semantic similarity-based caching. In various examples, first automatic speech recognition (ASR) data representing a first natural language input may be determined. A cache may be searched using the first ASR data. A first skill associated with the first ASR data may be determined from the cache. In some examples, first intent data representing a semantic interpretation of the first natural language input data may be determined by using a first natural language process associated with the first skill.
    Type: Grant
    Filed: December 7, 2020
    Date of Patent: April 11, 2023
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Kiana Hajebi, Vivek Yadav, Pradeep Natarajan
  • Publication number: 20230068798
    Abstract: A system can operate a speech-controlled device to perform active speaker detection to detect an utterance using image data showing a user speaking the utterance. This enables the device to perform utterance detection using the image data and/or determine which user is speaking the utterance. To perform active speaker detection, the device processes the image data to determine expression parameters associated with the user's face and generates facial measurements based on the expression parameters. For example, the device can use the expression parameters to generate a 3D model including an agnostic facial representation and determine a mouth aspect ratio by measuring a mouth height and a mouth width of the agnostic facial representation. As the mouth aspect ratio changes when the user is speaking, the device can determine that the user is speaking and/or detect an utterance based on an amount of variation of the mouth aspect ratio.
    Type: Application
    Filed: September 2, 2021
    Publication date: March 2, 2023
    Inventors: Tyler Jerel Etchart, Vivek Yadav, Pradeep Natarajan
  • Publication number: 20220405528
    Abstract: Techniques for masking images based on a particular task are described. A system masks portions of an image that are not relevant to a particular task, thus, reducing the amount of data used by applications for image processing tasks. For example, images to be processed using a hair color classification model are masked so that only portions that show the person's hair are available for the model to analyze. The system configures different masker components to mask images for different tasks. A masker component can be implemented at a user device to mask images prior to sending to an application/task-specific model.
    Type: Application
    Filed: May 10, 2022
    Publication date: December 22, 2022
    Inventors: Vivek Yadav, Aayush Gupta, Yue Wu, Pradeep Natarajan, Ayush Jaiswal
  • Patent number: 11532301
    Abstract: Devices and techniques are generally described for inference reduction in natural language processing using semantic similarity-based caching. In various examples, first automatic speech recognition (ASR) data representing a first natural language input may be determined. A cache may be searched using the first ASR data. A first skill associated with the first ASR data may be determined from the cache. In some examples, first intent data representing a semantic interpretation of the first natural language input data may be determined by using a first natural language process associated with the first skill.
    Type: Grant
    Filed: December 7, 2020
    Date of Patent: December 20, 2022
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Kiana Hajebi, Vivek Yadav, Pradeep Natarajan
  • Publication number: 20220275079
    Abstract: This application provides for methods of treatment for liver disease, especially in subjects with a DNMT3A, TET2, JAK2, and/or ASXL1. The application also provides for methods of diagnosing liver disease, as well as kits for use in the claimed methods.
    Type: Application
    Filed: November 17, 2021
    Publication date: September 1, 2022
    Inventors: Connor Emdin, Waihay Wong, Benjamin L. Ebert, Pradeep Natarajan
  • Patent number: 11417061
    Abstract: Devices and techniques are generally described for three dimensional mesh generation. In various examples, first two-dimensional (2D) image data representing a human may be received. In various further examples, bounding box data identifying a location of the human in the first 2D image data and joint data identifying locations of joints of the human may be received. Second 2D image data representing a cropped portion of the human may be generated using the bounding box data and the joint data. A three-dimensional (3D) mesh prediction model may be used to determine a pose, a shape, and a projection matrix for the human. The 3D mesh prediction model may be used to determine a transformed projection matrix for the portion of the human represented in the second 2D image data.
    Type: Grant
    Filed: January 27, 2021
    Date of Patent: August 16, 2022
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Jianwei Feng, Vivek Yadav, Pradeep Natarajan
  • Patent number: 11334773
    Abstract: Techniques for masking images based on a particular task are described. A system masks portions of an image that are not relevant to a particular task, thus, reducing the amount of data used by applications for image processing tasks. For example, images to be processed using a hair color classification model are masked so that only portions that show the person's hair are available for the model to analyze. The system configures different masker components to mask images for different tasks. A masker component can be implemented at a user device to mask images prior to sending to an application/task-specific model.
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: May 17, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Vivek Yadav, Aayush Gupta, Yue Wu, Pradeep Natarajan, Ayush Jaiswal
  • Publication number: 20220093093
    Abstract: A system can operate a speech-controlled device in a mode where the speech-controlled device determines that an utterance is directed at the speech-controlled device using image data showing the user speaking the utterance. If the user is directing the user's gaze at the speech-controlled device while speaking, the system may determine the utterance is system directed and thus may perform further speech processing based on the utterance. If the user's gaze is directed elsewhere, the system may determine the utterance is not system directed (for example directed at another user) and thus the system may not perform further speech processing based on the utterance and may take other actions, for example discarding audio data of the utterance.
    Type: Application
    Filed: December 4, 2020
    Publication date: March 24, 2022
    Inventors: Prakash Krishnan, Arindam Mandal, Nikko Strom, Pradeep Natarajan, Ariya Rastrow, Shiv Naga Prasad Vitaladevuni, David Chi-Wai Tang, Aaron Challenner, Xu Zhang, Krishna Anisetty, Josey Diego Sandoval, Rohit Prasad, Premkumar Natarajan
  • Publication number: 20210406589
    Abstract: Techniques for masking images based on a particular task are described. A system masks portions of an image that are not relevant to a particular task, thus, reducing the amount of data used by applications for image processing tasks. For example, images to be processed using a hair color classification model are masked so that only portions that show the person's hair are available for the model to analyze. The system configures different masker components to mask images for different tasks. A masker component can be implemented at a user device to mask images prior to sending to an application/task-specific model.
    Type: Application
    Filed: June 26, 2020
    Publication date: December 30, 2021
    Inventors: Vivek Yadav, Aayush Gupta, Yue Wu, Pradeep Natarajan, Ayush Jaiswal
  • Patent number: 11036713
    Abstract: An approach is provided for sending a notification of change(s) in a database in a multi-client database environment. Event data in a database satisfying criteria is identified by examining a log that is updated after the event data is committed in the database. The criteria indicate change(s) in data in the database. The event data is grouped into data sets specified by subscriptions of client computer(s) in the multi-client database environment. The grouped event data is pushed to the client computer(s) for consumption by application(s) being executed by the client computer(s), respectively. A notification is sent to the client computer(s) of the change(s) to the data in the database.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: June 15, 2021
    Assignee: International Business Machines Corporation
    Inventors: Nagaraju Inturi, Shawn D. Moe, Pradeep Natarajan
  • Publication number: 20210113536
    Abstract: Disclosed are methods of treating venous thromboembolism (VTE) in a subject, the method comprising administering a venous thrombus size lowering therapy to the subject, wherein the venous thrombus size lowering therapy is a plasminogen activator inhibitor 1 (PAI-1) inhibitor. Disclosed are methods of diagnosing and VTE, the method comprising diagnosing the subject as being at greater risk of developing VTE; and administering a venous thrombus size lowering therapy to the subject, wherein the venous thrombus size lowering therapy is a PAI-1 inhibitor. Disclosed are methods of determining a PRS for developing VTE in a subject comprising identifying the presence of one or more of the 297 SNPs identified in FIG. 19 are present in a biological sample from the subject; and calculating the PRS by summing the weighted risk score associated with each SNP identified.
    Type: Application
    Filed: October 20, 2020
    Publication date: April 22, 2021
    Inventors: Pradeep Natarajan, Derek Klarin, Scott Damrauer
  • Publication number: 20200004854
    Abstract: An approach is provided for sending a notification of change(s) in a database in a multi-client database environment. Event data in a database satisfying criteria is identified by examining a log that is updated after the event data is committed in the database. The criteria indicate change(s) in data in the database. The event data is grouped into data sets specified by subscriptions of client computer(s) in the multi-client database environment. The grouped event data is pushed to the client computer(s) for consumption by application(s) being executed by the client computer(s), respectively. A notification is sent to the client computer(s) of the change(s) to the data in the database.
    Type: Application
    Filed: June 29, 2018
    Publication date: January 2, 2020
    Inventors: Nagaraju Inturi, Shawn D. Moe, Pradeep Natarajan
  • Patent number: 9576196
    Abstract: A system to recognize text or symbols contained in a captured image using machine learning models leverages context information about the image to improve accuracy. Contextual information is determined for the entire image, or spatial regions of the images, and is provided to a machine learning model when a determination is made as to whether a region does or does not contain text or symbols. Associating features related to the larger context with features extracted from regions potentially containing text or symbolic content provides an incremental improvement of results obtained using machine learning techniques.
    Type: Grant
    Filed: August 20, 2014
    Date of Patent: February 21, 2017
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventor: Pradeep Natarajan
  • Patent number: 9576210
    Abstract: A system to select video frames for optical character recognition (OCR) based on feature metrics associated with blur and sharpness. A device captures a video frame including text characters. An edge detection filter is applied to the frame to determine gradient features in perpendicular directions. An “edge map” is created from the gradient features, and points along edges in the edge map are identified. Edge transition widths are determined at each of the edge points based in local intensity minimum and maximum on opposite sides of the respective edge point in the frame. Sharper edges have smaller edge transition widths than blurry images. Statistics are determined from the edge transition widths, and the statistics are processed by a trained classifier to determine if the frame is or is not sufficiently sharp for text processing.
    Type: Grant
    Filed: September 29, 2014
    Date of Patent: February 21, 2017
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Yue Liu, Qingfeng Yu, Xing Liu, Pradeep Natarajan