Patents by Inventor Tejaswini
Tejaswini 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).
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Publication number: 20250117821Abstract: A method, system, and computer program product are provided for embedding an offer. The method includes receiving transaction data for a transaction between a user and a merchant, determining an offer based on the transaction data, the offer corresponding to offer data, generating machine-readable indicia comprising encoded data, the encoded data comprising at least a portion of the transaction data and the offer data, receiving a payment request from a user device of the user based on the encoded data and account data associated with a user account of the user, and in response to receiving the payment request, automatically applying the offer data to at least one of the transaction and the user account.Type: ApplicationFiled: October 4, 2023Publication date: April 10, 2025Inventors: Yashaswini Shetty, Tejaswini Katta, Madhuri Vikram Lengade
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Publication number: 20250113297Abstract: This disclosure provides methods, components, devices and systems for centralized power management in a mesh network. According to certain aspects, a wireless node (e.g., a root AP or controller entity) may obtain information regarding a topology of the mesh network. The wireless node may then perform one or more actions to adjust power consumption at one or more wireless nodes of the mesh network, based on the information.Type: ApplicationFiled: September 28, 2023Publication date: April 3, 2025Inventors: Tejaswini GOLLAMUDI, Manish SHUKLA, Sandip HOMCHAUDHURI
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Publication number: 20250102237Abstract: A thermal energy storage system has an insulated housing defining an internal volume; a heat storing material contained in said internal volume; a first conduit arrangement configured to carry a first working fluid. The first conduit arrangement extending across said internal volume such that thermal energy is transferrable between the first working fluid and the heat storing material. A second conduit arrangement carries a second working fluid. The second conduit arrangement extends across the internal volume such that thermal energy is transferrable between the heat storing material and the second working fluid. The first working fluid and the second working fluid are fluidly separated from each other inside the housing. The first conduit arrangement and the second conduit arrangement are in contact with each other so that thermal energy is transferrable between the first working fluid and the second working fluid.Type: ApplicationFiled: September 20, 2024Publication date: March 27, 2025Applicant: VOLVO TRUCK CORPORATIONInventors: Tejaswini CM, Shital Dubey, Bhargav Varanasi
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Publication number: 20250105843Abstract: A transmitter controls the fall time on an open-drain link including multiple components. The transmitter includes an input driver to receive data and transmit the data on the open-drain link, thereby activating the open-drain link. The transmitter also includes a feedback mechanism to keep track of a pad when the open-drain link is activated and to determine when the pad reaches a predetermined amount of a supply voltage. When the pad reaches the predetermined amount of a supply voltage, the feedback mechanism triggers an appropriate main pull-down driver to control the fall time.Type: ApplicationFiled: September 26, 2023Publication date: March 27, 2025Applicant: WESTERN DIGITAL TECHNOLOGIES, INC.Inventors: ASHISH SAVADI, TEJASWINI KERAGODU
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Publication number: 20250094235Abstract: A system and method for dynamically generating a data processing pipeline is disclosed. A processor receives data including one or more data types from a data source. A set of sub-pipelines are created based on the one or more data types, wherein each sub-pipeline of the set of sub-pipelines includes one or more processing layers. Further, the one or more data types and volume of data assigned to each processing layer of the one or more processing layers is determined. Subsequently, the resource allocation to the one or more processing layers is done dynamically based on the one or more data types, the data source, and the volume of the data.Type: ApplicationFiled: November 26, 2024Publication date: March 20, 2025Inventors: Chaithanya Yembari, Sethu Meenakshisundaram, Ritish Reddy, Chinmay Panda, Vanketesh Kumar, Deepanshu Agarwal, Tejaswini Jupudi
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Patent number: 12243585Abstract: An example described herein is a circuit including a dynamic complementary metal-oxide-semiconductor (CMOS) inverter level translator circuit and a capacitor. The dynamic CMOS inverter level translator circuit is electrically connected to a first power domain and has a first input node configured to receive a first trigger signal generated in the first power domain. The dynamic CMOS inverter level translator circuit has a second input node configured to receive a second trigger signal generated in a second power domain different from the first power domain. The capacitor is electrically coupled to an output node of the dynamic CMOS inverter level translator circuit. The capacitor selectively charges to the first power domain through the dynamic CMOS inverter level translator circuit based on the first trigger signal. The capacitor selectively discharges to provide a negative coupling voltage to a write assist supply node.Type: GrantFiled: February 14, 2023Date of Patent: March 4, 2025Assignee: Synopsys, Inc.Inventors: M Sultan M Siddiqui, Md Amir Arif, Tejaswini Saini, Sudhir Kumar, Ravindra Shrivastava
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Publication number: 20250028567Abstract: A system and method for dynamically generating a data processing pipeline. A processor receives data including one or more data types from a data source. A set of sub-pipelines are created based on the one or more data types, wherein each sub-pipeline of the set of sub-pipelines includes one or more processing layers. Further, the one or more data types and volume of data assigned to each processing layer of the one or more processing layers is determined. Subsequently, the resource allocation to the one or more processing layers is done dynamically based on the one or more data types, the data source, and the volume of the data.Type: ApplicationFiled: September 19, 2023Publication date: January 23, 2025Inventors: Chaithanya YEMBARI, Sethu MEENAKSHISUNDARAM, Ritish REDDY, Chinmay PANDA, Vanketesh KUMAR, Deepanshu AGARWAL, Tejaswini JUPUDI
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Patent number: 12204943Abstract: A system and method for dynamically generating a data processing pipeline. A processor receives data including one or more data types from a data source. A set of sub-pipelines are created based on the one or more data types, wherein each sub-pipeline of the set of sub-pipelines includes one or more processing layers. Further, the one or more data types and volume of data assigned to each processing layer of the one or more processing layers is determined. Subsequently, the resource allocation to the one or more processing layers is done dynamically based on the one or more data types, the data source, and the volume of the data.Type: GrantFiled: September 19, 2023Date of Patent: January 21, 2025Assignee: ZLURI TECHNOLOGIES PRIVATE LIMITEDInventors: Chaithanya Yembari, Sethu Meenakshisundaram, Ritish Reddy, Chinmay Panda, Vanketesh Kumar, Deepanshu Agarwal, Tejaswini Jupudi
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Patent number: 12198690Abstract: Devices and techniques are generally described for voice-based content attribution for speech processing applications. In some examples, a request for voice-based content may be received from a first speech processing skill. First identifier data associated with the first speech processing skill may be received. A determination may be made that first content that is associated with the request. Voice-based output data describing the first content may be generated. A selection of the first content may be received. Attribution data may be determined based at least in part on the selection of the first content and the first identifier data. The attribution data may be sent to a remote computing device.Type: GrantFiled: November 23, 2021Date of Patent: January 14, 2025Assignee: AMAZON TECHNOLOGIES, INC.Inventors: Tejaswini Marathe, Girish Shekhar, Shubaa Jhanani Ayengar Devanathan, Sandeep Sankarlal, Claudia C. Clemente, Deepthi Chidambaram
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Publication number: 20250005457Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to provide recommendations for device management. An example non-transitory machine readable storage medium comprising instructions to cause programmable circuitry to at least: determine an action to be performed for a plurality of computing devices, the action includes information about the computing devices and an operation to be performed on the computing devices; compare the action with a plurality of prior actions; and report a predicted result based on a similarity of the action with at least one of the plurality of prior actions.Type: ApplicationFiled: August 30, 2024Publication date: January 2, 2025Applicant: Intel CorporationInventors: Mario Jose Divan Koller, Mariano Ortega De Mues, Marcos Emanuel Carranza, Cesar Ignacio Martinez-Spessot, Mateo Guzman, Francesc Guim Bernat, John Joseph Browne, Mats Gustav Agerstam, Gavin Bartlett Lewis, Abhishek Pillai, Tejaswini Sirlapu
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Publication number: 20240428084Abstract: According to a present invention embodiment, a system for training a reinforcement learning agent comprises one or more memories and at least one processor coupled to the one or more memories. The system trains a machine learning model based on training data to generate a set of hyperparameters for training the reinforcement learning agent. The training data includes encoded information from hyperparameter tuning sessions for a plurality of different reinforcement learning environments and reinforcement learning agents. The machine learning model determines the set of hyperparameters for training the reinforcement learning agent, and the reinforcement learning agent is trained according to the set of hyperparameters. The machine learning model adjusts the set of hyperparameters based on information from testing of the reinforcement learning agent.Type: ApplicationFiled: June 23, 2023Publication date: December 26, 2024Inventors: Elita Astrid Angelina Lobo, Nhan Huu Pham, Dharmashankar Subramanian, Tejaswini Pedapati
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Publication number: 20240381170Abstract: This disclosure provides methods, components, devices and systems for managing power in a wireless network. According to certain aspects, when an access point (AP) is operating on multiple links, the AP may calculate a loading metric for each link and perform one or more power savings actions if the loading metrics for one or more of the links meets certain criteria.Type: ApplicationFiled: May 10, 2023Publication date: November 14, 2024Inventors: Sandip HOMCHAUDHURI, Michael SPARTZ, Tejaswini GOLLAMUDI, Manish SHUKLA, Gyanranjan HAZARIKA, Alfred ASTERJADHI
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Publication number: 20240311465Abstract: A method, apparatus, and computer-readable recording medium for authenticating a client application using two-factor authentication. The method includes receiving, from the client application, a request to access an application programming interface (API), validating, using a first authentication method, the client application for accessing the API, and based on a result of the validating using the first authentication method, validating the client application for accessing the API using a second authentication method, and providing a response to the client application based on the validating using the first authentication method and the second authentication method.Type: ApplicationFiled: November 21, 2022Publication date: September 19, 2024Applicant: RAKUTEN SYMPHONY INDIA PRIVATE LIMITEDInventors: Manoj ASWANI, Hemant SHARMA, Ayus KUMAR, Tejaswini MALLI
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Patent number: 12092663Abstract: Sensor part for installation in medium-voltage cable compartments, which sensor part comprises a voltage divider based on the capacitive divider principle, which voltage divider comprises: —a first capacitor, comprising an elongate primary conductor wrapped in a dielectric material and an elongate conducting shield arranged around the dielectric material, which first capacitor has a first capacitance rating; —a second capacitor, having a second capacitance rating, which second capacitor further comprises a first lead conductively connected with the conducting shield of the first capacitor and a second lead conductively connected to a common reference, such as earth; —a voltage output line, conductively connected with the conducting shield of the first capacitor; wherein the second capacitance rating is larger than the first capacitance rating, so that when during use the primary conductor is conductively connected with a live circuit carrying an alternating current, a measurement of a voltage between the commType: GrantFiled: December 21, 2020Date of Patent: September 17, 2024Assignee: EATON INTELLIGENT POWER LIMITEDInventors: Pradeep Bhutada, Wilhelmus Van Den Bogaard, Elisabeth Morskieft, Yogesh Rajwade, Tejaswini Shirsath Shirsath, Adri Lammers
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Publication number: 20240273427Abstract: Disclosed herein are methods and systems for implementing a multi-model computer architecture for entity identification. A method includes receiving data regarding a plurality of entities. The method includes generating a plurality of entity profiles for the plurality entities and a network graph data structure (e.g., a node graph) comprising edges between nodes for the plurality of entity profiles. The method includes executing a model using identifiers of the plurality of entity profiles, an event topic, and the edges between the nodes as input to generate one or more composite scores for the plurality of entity profiles. The method includes selecting one or more entities for the event based on the generated one or more composite scores. The method includes generating a record comprising associations between identifications of the entities and the event.Type: ApplicationFiled: February 13, 2024Publication date: August 15, 2024Applicant: ZS Associates, Inc.Inventors: Asheesh Shukla, Arrvind Sunder, Albert Whangbo, Siddharth Kumar, Krishnakalyan A, Sambit Nandi, Tejaswini Sawakhande, Wenhao Xia, Sandeep Bansal, Geetanjali Mishra, Kanika Singh, Viresh Dhawan, Rohan Chouthai, Siddharth Pandit, Arpita Pattanayak, Kiran Kolli
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Patent number: 12063166Abstract: Systems and methods for resource management are disclosed. A search request may be received at a resource management service of a provider network. The search request may be received from a client device that does not have permission to access resources in a protected region of a provider network. The search request may specify a query associated with at least one operational health indicator in the protected region. It may be determined, using a secure query service, that the at least one operational health indicator does not exist in the protected region. The secure query service enables the client device to obtain information about the resources in the protected region without gaining access to the resources in the protected region. Sending of a notification indicating that the at least one operational health indicator does not exist in the protected region to the client device may be caused.Type: GrantFiled: March 30, 2022Date of Patent: August 13, 2024Assignee: Amazon Technologies, Inc.Inventors: Tejaswini Durga Samba, Neel Harishbhai Patel, Te Sun, Gary Rittinger
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Publication number: 20240232682Abstract: A method for computing possibly optimal policies in reinforcement learning with multiple objectives and tradeoffs includes receiving a dataset comprising state, action, and reward information for objectives in a multiple objective environment. Tradeoff information indicating that a first vector comprising first values of the objectives in the multiple objective environment is preferred to a second vector comprising second values of the objectives in the multiple objective environment is received. A set of possibly optimal policies for the multiple objective environment is produced based on the dataset and the tradeoff information, where the set of possibly optimal policies indicates actions for an intelligent agent operating in the multiple objective environment to take.Type: ApplicationFiled: October 24, 2022Publication date: July 11, 2024Inventors: Radu Marinescu, Parikshit Ram, Djallel Bouneffouf, Tejaswini Pedapati, Paulito Palmes
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Publication number: 20240193486Abstract: Various embodiments are provided for accelerating machine learning in a computing environment by one or more processors in a computing system. Selected data may be received for training machine learning pipelines. Each of the machine learning pipelines may be scored according to one or more learning curves while training on selected data. Completion of the training on the selected data may be permitted for those of the machine learning pipelines having a score greater than a selected threshold. The training on the selected data may be terminated, prior to completion, on those of the machine learning pipelines having a score less than a selected threshold.Type: ApplicationFiled: February 22, 2024Publication date: June 13, 2024Inventors: Martin Wistuba, Tejaswini Pedapati
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Patent number: 12009989Abstract: An data driven approach to generating synthetic data matrices is presented. By retrieving historical network traffic data, probabilistic models are generated. Optimal distribution families for a set of independent data segments are determined. Applications are tested and performance metrics are determined based on the generated synthetic data matrices.Type: GrantFiled: September 29, 2020Date of Patent: June 11, 2024Assignee: Salesforce, Inc.Inventors: Tejaswini Ganapathi, Satish Raghunath, Xu Che, Shauli Gal, Andrey Karapetov
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Publication number: 20240135234Abstract: A method for computing possibly optimal policies in reinforcement learning with multiple objectives and tradeoffs includes receiving a dataset comprising state, action, and reward information for objectives in a multiple objective environment. Tradeoff information indicating that a first vector comprising first values of the objectives in the multiple objective environment is preferred to a second vector comprising second values of the objectives in the multiple objective environment is received. A set of possibly optimal policies for the multiple objective environment is produced based on the dataset and the tradeoff information, where the set of possibly optimal policies indicates actions for an intelligent agent operating in the multiple objective environment to take.Type: ApplicationFiled: October 23, 2022Publication date: April 25, 2024Inventors: Radu Marinescu, Parikshit Ram, Djallel Bouneffouf, Tejaswini Pedapati, Paulito Palmes