Patents by Inventor Sri Raghu Malireddi

Sri Raghu Malireddi 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: 20230342188
    Abstract: Systems and methods are provided for detecting an interruption during an automated workflow. An automated workflow may comprise a series of actions to be performed by or with the assistance of a computer. A workflow manager executes a workflow by progressing through a series of workflow states according to instructions associated with the workflow. When the workflow advances to a new state, an interruption detection engine determines whether the state contains an interruption by examining one or more attributes of the workflow state and/or the user interface associated therewith. An interruption detecting engine may examine a document object model and/or utilize computer vision to determine whether an interruption has occurred. When an interruption is detected, a workflow is paused until the interruption is resolved, such as by a user providing a required input. After an interruption has been resolved, the resumes and continues until completion of the workflow.
    Type: Application
    Filed: April 21, 2022
    Publication date: October 26, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Micheal DUNN, Nabeel SHAHZAD, Sri Raghu MALIREDDI, Jonathan W. LIN, Olutayo FALASE, Deyuan KE, Joann T. LEE, Shrey SHAH
  • Publication number: 20230244989
    Abstract: Systems and methods are described that are generally directed to generating a general task embedding representing task information. In examples, the generated task embedding may include predicted task information such that, rather being underspecified, the task embedding representative of the task may include additional specified information, where the task embedding can then be utilized in many different models and applications. Thus, task data may be received and at least a portion of the task data may be encoded using an encoder. Based on one or more outputs generated by the encoder and a type embedding associated with the task data, a task intent may be extracted or otherwise predicted based on the task data and one or more type encodings associated with the task data. The intent extractor may be trained on multiple auxiliary tasks with weak supervision that provide semantic augmentation to under-specified task texts.
    Type: Application
    Filed: March 31, 2022
    Publication date: August 3, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Oriana Riva, Michael Gamon, Sujay Kumar Jauhar, Mei Yang, Sri Raghu Malireddi, Timothy C. Franklin, Naoki Otani
  • Publication number: 20210389999
    Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for filtering notifications are provided. A notification may be received. A current focus state of a user may be determined. An application priority score for the application that generated the notification may be determined. A notification priority score for the notification may be determined. The notification priority score may be determined based on a contact importance score and/or a content importance score. A combined priority score may be determined from the application priority score and the notification priority score. The notification may be surfaced if the combined priority score meets a threshold surfacing value. The notification may be blocked if the combined priority score does not meet the threshold surfacing value.
    Type: Application
    Filed: August 5, 2020
    Publication date: December 16, 2021
    Inventors: Sri Raghu Malireddi, FNU Primadona, Arpita Verma, Yoon Jae Choi, Lei Yang, Dhaumya Vihang Mehta, Christina Chen Campbell, Micheal Dunn