Patents by Inventor Shashank

Shashank 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: 12190061
    Abstract: Systems and methods for topic modeling are described. The systems and methods include encoding words of a document using an embedding matrix to obtain word embeddings for the document. The words of the document comprise a subset of words in a vocabulary, and the embedding matrix is trained as part of a topic attention network based on a plurality of topics. The systems and methods further include encoding a topic-word distribution matrix using the embedding matrix to obtain a topic embedding matrix. The topic-word distribution matrix represents relationships between the plurality of topics and the words of the vocabulary. The systems and methods further include computing a topic context matrix based on the topic embedding matrix and the word embeddings and identifying a topic for the document based on the topic context matrix.
    Type: Grant
    Filed: December 17, 2021
    Date of Patent: January 7, 2025
    Assignee: ADOBE INC.
    Inventors: Shashank Shailabh, Madhur Panwar, Milan Aggarwal, Pinkesh Badjatiya, Simra Shahid, Nikaash Puri, S Sejal Naidu, Sharat Chandra Racha, Balaji Krishnamurthy, Ganesh Karbhari Palwe
  • Patent number: 12190048
    Abstract: A data processing system implements receiving textual content from a first application on a first client device associated with a first user for analysis by a context adaptive writing assistant configured to provide suggestions for improving the textual content, obtaining contextual information indicative of a level of formality of the textual content; and categorizing the textual content as being associated with a first level of formality selected from a plurality of levels of formality. The system is further implements analyzing the textual content to identify one or more suggested improvements to the textual content; selecting a subset of suggested improvements from the one or more suggested improvements to the textual content to the first user based on the first level of formality associated with the textual content; sending the subset of suggested improvements to the first client device; and causing the first client device to display the subset of suggested improvements.
    Type: Grant
    Filed: November 14, 2022
    Date of Patent: January 7, 2025
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: James Cogley, Aman Singh, Enrico Cadoni, Shashank Shekhar Gupta
  • Patent number: 12189388
    Abstract: Systems and methods for multiple inertial measurement unit sensor fusion using machine learning are provided herein. In certain embodiments, a system includes inertial sensors that produce inertial measurements, a memory unit that stores a fusion model produced by at least one machine learning algorithm, and a processor that receives inertial measurements, where the processor applies the fusion model to the inertial measurements. The fusion model directs the processor to extract features from the inertial measurements, and to select inertial measurements based on a sensor in the plurality of inertial sensors that produced the inertial measurements. Also, the fusion model directs the processor to apply weights to the selected inertial measurements based on the extracted features, to apply compensation coefficients to the selected inertial measurements, and to fuse the selected inertial measurements into an inertial navigation solution.
    Type: Grant
    Filed: January 5, 2022
    Date of Patent: January 7, 2025
    Assignee: Honeywell International Inc.
    Inventors: Andrew Stewart, Christopher J. Mauer, Shashank Shivkumar, Thomas Jakel
  • Patent number: 12185929
    Abstract: A suture retention device includes a housing having one or more suture slots. The device also includes a plunger with suture slots. The plunger is slidably disposed in a channel in the housing and when the housing suture slots are aligned with the plunger suture slots, a suture filament may be disposed in the slots. When the plunger is actuated so that the housing suture slots are misaligned with the plunger suture slots, the suture filament is captured between the plunger and the housing preventing movement of the suture filament.
    Type: Grant
    Filed: August 24, 2023
    Date of Patent: January 7, 2025
    Assignee: DRS Vascular, Inc.
    Inventors: Raj Subramaniam, Robert Quintos, Shashank Raina
  • Patent number: 12187116
    Abstract: A vehicle includes a prime mover and a fuel system. The fuel system includes a tank, a regulator, a first shutoff valve, and a second shutoff valve. The tank is configured to provide a supply flow of fuel. The regulator is controllable to provide a regulated flow of fuel to the prime mover by modulating the supply flow of fuel. The first shutoff valve is positioned to facilitate selectively disengaging the prime mover from the fuel system. The second shutoff valve is positioned to facilitate selectively blocking the supply flow of fuel provided by the tank.
    Type: Grant
    Filed: June 7, 2023
    Date of Patent: January 7, 2025
    Assignee: Oshkosh Corporation
    Inventors: Grant D. Wildgrube, Clint D. Glunz, Shashank Bhatia, Bryan S. Datema
  • Patent number: 12190215
    Abstract: Automatically selecting data for machine learning datasets is provided. The method comprises receiving an input dataset and user-specified data quality metrics. The input dataset is matched to a subset of candidate datasets in a repository according to schema characteristics. A second subset of candidate datasets having a distance from the input dataset above a specified threshold is selected from the first subset of candidate datasets. The second subset of candidate datasets are merged into a merged dataset. Top ranked samples above a specified second threshold are identified from the merged dataset based on the user-specified data quality metrics. The input dataset, augmented with the top ranked samples, is returned to the user.
    Type: Grant
    Filed: October 25, 2023
    Date of Patent: January 7, 2025
    Assignee: International Business Machines Corporation
    Inventors: Nitin Gupta, Shashank Mujumdar, Ruhi Sharma Mittal, Hima Patel
  • Patent number: 12192220
    Abstract: Techniques for anomaly and causality detection are described. An example includes receiving time series data; performing anomaly detection on the received time series data to detect at least one anomaly using an anomaly detection model; detecting a causal relationship between measures, wherein a set of measures are related when a first of the set of measures has a causal influence on a second of the set of measures, wherein a single time series is a metric and a measure is a numerical or categorical quantity a metric describes; and outputting a result of the anomaly and causality relationship detections.
    Type: Grant
    Filed: June 28, 2022
    Date of Patent: January 7, 2025
    Assignee: Amazon Technologies, Inc.
    Inventors: Syed Ahsan Ishtiaque, Ketan Vijayvargiya, Mohammed Talal Yassar Azam, Jill Blue Lin, Mohammed Saad Ather, Ankur Mehrotra, Peter Goetz, Lenon Alexander Minorics, Patrick Bloebaum, Dominik Janzing, David Kernert, Sadanand Murthy Sachidananda, Shashank Srivastava, Laurent Callot, Ali Caner Turkmen
  • Publication number: 20250005292
    Abstract: Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and/or request bodies, structuring user-generated content, and/or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and/or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.
    Type: Application
    Filed: June 30, 2023
    Publication date: January 2, 2025
    Inventors: Ankesh Khemani, Zhou Sha, Shihab Hassan Hamid, Shashank Rao, Akshar Prasad, Rahul Singh
  • Patent number: 12182176
    Abstract: The systems and method described provide a dynamic and automated process for producing test data for cloud migrations. Metadata for transformation designs with attribute classification and relationship data can be used to generate an enriched design-driven data set. The test data can then be used to validate infrastructure provisioned in multi-cloud environments and accommodate most cloud providers. The system can avoid tedious testing cycles that use non-relevant test data (i.e., unrelated to the specific design requirements).
    Type: Grant
    Filed: March 28, 2023
    Date of Patent: December 31, 2024
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Shashank Kundanmal Gandhi, Mihir S. Nanal, Sarang Padmakar Joshi, Pradnya Desai
  • Patent number: 12184608
    Abstract: There is disclosed in an example a gateway device, including a hardware computing platform, and a secure domain name system (DNS) engine having circuitry and stored instructions to-program the circuitry, the secure DNS engine to communicatively couple to an endpoint via a local network, begin a secure DNS transaction with the endpoint, determine whether the endpoint supports delegated credentials, and after determining that the endpoint supports delegated credentials, establish a secure DNS session with the endpoint using a delegated credential.
    Type: Grant
    Filed: January 16, 2024
    Date of Patent: December 31, 2024
    Assignee: McAfee, LLC
    Inventors: Tirumaleswar Reddy Konda, Shashank Jain, Himanshu Srivastava
  • Patent number: 12181982
    Abstract: The disclosed technology teaches recovering a first virtual machine or an instance with an Internet Protocol address, a first root volume and one or more data volumes that are corrupted. The first virtual machine is hosted by a first cloud server that hosts plurality of virtual machines. The disclosed technology includes instructing the first cloud server to launch a recovery virtual machine. The recovery virtual machine launches one or more new data volumes based upon captured file system images in one or more snapshots taken of corrupted data volumes of the first virtual machine prior to becoming corrupted. The recovery virtual machine detaches the corrupted data volumes and attaches the new data volumes launched to the first virtual machine. The Internet Protocol address of the first virtual machine remains unchanged.
    Type: Grant
    Filed: November 16, 2022
    Date of Patent: December 31, 2024
    Assignee: Rubrik, Inc.
    Inventors: Prateek Pandey, Shashank Jain, Vikas Jain
  • Patent number: 12182430
    Abstract: Certain aspects of the present disclosure provide techniques for proving possession of data in a storage device participating in a distributed data storage network. An example storage device includes a storage circuitry and a trusted circuit. The storage circuitry is configured to store a plurality of data blocks. The trusted circuit generally has a private signing key securely stored thereon. The trusted circuit is generally configured to compute a hash over data stored in a plurality of data blocks and to generate an anonymous digital signature for the data stored in the plurality of data blocks based at least in part on the private signing key and the computed hash. The trusted circuit may be interposed on a write path to the storage circuitry such that data written to the storage circuitry is processed through the trusted circuit.
    Type: Grant
    Filed: November 29, 2021
    Date of Patent: December 31, 2024
    Assignee: Sandisk Technologies, Inc.
    Inventors: Shashank Agrawal, Cyril Guyot
  • Publication number: 20240427747
    Abstract: An automated data observation system, platform, and corresponding methods and non-transitory computer readable medium include periodically obtaining metadata, automatically generating data quality metrics, obtaining predicted values for the data quality metrics, determining a first anomaly, generating a data pipeline graph, and estimating a root cause relating to the first anomaly by traversing the data pipeline graph. Obtaining predicted values for the data quality metrics includes executing a plurality of candidate machine learning models over time series data relating to the data quality metrics to generate candidate predicted values and selecting a machine learning model for a given data quality metric based on the candidate predicted values and measured values.
    Type: Application
    Filed: June 26, 2024
    Publication date: December 26, 2024
    Inventors: Sanjay Agrawal, Shashank Gupta, Pramod Kalipatnapu
  • Publication number: 20240431008
    Abstract: In one aspect, an example method includes (i) causing a content-presentation device to output for presentation reference visual content; (ii) causing a lighting device to emit light in accordance with a lighting parameter, wherein initially the light emitted in accordance with the lighting parameter does not correspond to the reference visual content; (iii) receiving first input indicating an adjustment to the lighting parameter; (iv) responsive to receiving the first input, causing the lighting device to adjust the lighting parameter, thereby causing the lighting device to adjust the emitted light; (v) receiving second input indicating that the adjusted emitted light corresponds to the reference visual content; and (vi) responsive to receiving the second input, calibrating the lighting device at least by (i) causing storage of the adjusted lighting parameter and (ii) causing the lighting device to be configured to emit light in accordance with the stored lighting parameter.
    Type: Application
    Filed: May 13, 2024
    Publication date: December 26, 2024
    Inventors: Adil Jagmag, Jonan Gerard Willem Maria Janssen, Sharada Palasamudram Ashok Kumar, Sunil Ramesh, Michael Cutter Cutter, Shashank C. Merchant, Yu-Cheng Lin
  • Patent number: 12173625
    Abstract: Combined cycle gas turbine (CCGT) power plants have become common for generation of electric power due to their high efficiencies. There are various problem related with improving the efficiency of CCGT plants by optimizing the manipulated variables. The method and system for optimizing the operation of a combined cycle gas turbine has been provided. The system is configured to calculate an optimal value of manipulated variables (MV) with efficiency as one of the key performance parameters. The MVs from the existing CCGT automation system, i.e. a first set of manipulated variables and the manipulated variables from the optimization approach, i.e. a second set of manipulated variables are combined to determine an optimal set of manipulated variables. The method further checks for the anomalous behavior of the system and define the root cause of the identified anomaly and the operational state of the CCGT plant.
    Type: Grant
    Filed: June 20, 2020
    Date of Patent: December 24, 2024
    Assignee: Tata Consultancy Services Limited
    Inventors: Shashank Agarwal, Sri Harsha Nistala, Venkataramana Runkana, Balaji Selvanathan, Kalyani Zope
  • Patent number: 12176904
    Abstract: According to one implementation of the present disclosure, a circuit includes: two or more metal wires, respective XOR gates coupled to each of the two or more top metal wires, a shift register having outputs coupled to the XOR gates, an OR gate configured to receive each of the outputs of the XOR gates, and a latch configured to receive an output of the OR gate and transmit an output signal corresponding to an alarm signal.
    Type: Grant
    Filed: October 14, 2021
    Date of Patent: December 24, 2024
    Assignee: Arm Limited
    Inventors: Shashank Guruprasad, Roma Rudra, Mikael Yves Marie Rien, Karthik Sankaranarayanan
  • Patent number: 12169699
    Abstract: Systems and methods provide techniques for more effective and efficient predictive monitoring of a software application framework. In response, embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to enable effective and efficient predictive monitoring of a software application framework using incident signatures for the software application that are generated by using a natural language processing machine learning framework, a structured data processing machine learning model, a feature combination machine learning model, and a clustering machine learning model.
    Type: Grant
    Filed: December 18, 2020
    Date of Patent: December 17, 2024
    Assignees: Atlassian PTY Ltd, Atlassian US, Inc.
    Inventors: Shashank Prasad Rao, Karthik Muralidharan
  • Patent number: 12168962
    Abstract: A method for controlling a dual fuel engine system includes estimating a total indicated engine load, where the total indicated engine load is based on a sum of a measured engine power and a power loss estimate. The method further includes determining a total fueling amount based on an engine speed and the total indicated engine load, where the total fueling amount includes a gas fueling amount and a diesel fueling amount. The method also includes controlling the dual fuel engine system using the total fueling amount.
    Type: Grant
    Filed: September 14, 2022
    Date of Patent: December 17, 2024
    Assignee: Cummins Power Generation Inc.
    Inventors: Travis Alva Anderson, Axel O. zur Loye, Mark A. Rosswurm, Paul Daniel Borisuk, Shashank Bishnoi, Matthew W. Isaacs, Jason A. Gore, Atin Tandon, Jamie Robert John Sleigh
  • Publication number: 20240414386
    Abstract: The disclosure provides for use of steganographically-encoded data as a basis to disambiguated a fingerprint-based channel-multimatch. A fingerprint-matching server or other entity could detect a channel-multi-match scenario by determining that query fingerprints representing media content being rendered by a content presentation device match reference fingerprints respectively representing multiple channels. In view of that detected channel-multi-match scenario, the content presentation device could then provide channel-identification information that the content presentation device extracts from a watermark that is steganographically encoded in the media content of the channel that the content presentation device is rendering, for use of the extracted channel-identification information to determine which channel the content presentation device is rendering.
    Type: Application
    Filed: August 21, 2024
    Publication date: December 12, 2024
    Inventors: Shashank C. Merchant, Andrew L. Ashbacher
  • Publication number: 20240411991
    Abstract: Embodiments described herein provide a training framework for generative NLP models that operate on previously learnt knowledge from pretrained large language models. Specifically, to train an NLP model to generate a response to a user utterance (e.g., “resolve login issue”), document embeddings of support IT documents encoded by a pretrained LLM are fed to an NLP decoder together with a training dialogue (e.g., a dialogue between the chat agent on how to “resolve login issue”). The NLP decoder can thus be trained by a causal language modeling loss computed based on the predicted next token and the ground-truth token from the training dialogue.
    Type: Application
    Filed: June 6, 2023
    Publication date: December 12, 2024
    Inventors: Shiva Kumar Pentyala, Prafulla Kumar Choubey, Shashank Harinath, Sitaram Asur, Chien-Sheng Jason Wu, Zachary Alexander, Caiming Xiong