Patents by Inventor Pranav

Pranav 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: 20250131539
    Abstract: A camera apparatus acquires an input color image of an agricultural field and generates a first binary mask image from the input color image. The first binary mask image includes one or more foliage masks indicative of a presence of one or more foliage regions in a field-of-view with a first accuracy level. One or more morphology operations are applied to remove noise in the first binary mask image and one or more image regions that meet a defined criteria to be considered as foliage are identified. An output binary mask image of foliage mask is generated, which is set as a ground truth to train a custom neural network model in a training phase. The trained custom neural network model is operated to detect one or more other foliage regions in a new color image captured by the camera apparatus in a real time or near real time.
    Type: Application
    Filed: July 9, 2024
    Publication date: April 24, 2025
    Inventors: Dhivakar Kanagaraj, Pranav M P, Raghul Raghu, Prakash Mathews Pothen
  • Publication number: 20250131715
    Abstract: A camera apparatus including a central processing unit configured to capture raw image sensor data of a field-of-view of an agricultural field, concurrently execute a plurality of different image transformation operations in a single pass on the captured raw image sensor data to obtain a processed image output, based on an one-time read of pixel values of the captured raw image sensor data and push the processed image output in a shared memory accessible to a plurality of application nodes in the camera apparatus. The camera apparatus includes a graphical processing unit configured to cause the plurality of application nodes to concurrently access the processed image output from the shared memory to detect one or more foliage regions or one or more crop plants in the processed image output.
    Type: Application
    Filed: July 31, 2024
    Publication date: April 24, 2025
    Inventors: Gunasekaran Srinivasan, Dhivakar Kanagaraj, Pranav M P, Raghul Raghu, Prakash Mathews Pothen, S Prajwal
  • Publication number: 20250129161
    Abstract: Specific binding molecules, including T cell receptors (TCRs), which bind the HLA-A*02 restricted peptide SLYNTVATL (SEQ ID NO: 1) derived from the HIV Gag gene product, p17 are presented. TCRs of the present invention comprise non-natural mutations within the alpha and/or beta variable domains relative to a native TCR. The specific binding molecules of the invention have improved stability and/or yield and yet unexpectedly retain the advantageous properties of the specific binding molecules from which they are derived. Such specific binding molecules are particularly useful in the development of soluble immunotherapeutic reagents for the treatment of HIV infected individuals.
    Type: Application
    Filed: June 27, 2024
    Publication date: April 24, 2025
    Inventors: Marcin Dembek, Luis Filipe da Silva Godinho, Praveen Singh, Emma Elizabeth Baston, Andrew Creese, Thomas Minshull, Pranav Bheamadu
  • Publication number: 20250128646
    Abstract: A vehicle fuel cell system assembly comprising: a first fuel cell system comprising a first sensor and a first control unit adapted to control the first fuel cell system based on a value of the first sensor, a second fuel cell system comprising a second sensor and a second control unit adapted to control the second fuel cell system based on a value of the second sensor, and a common supply of coolant, air or fuel to the first and second fuel cell systems, wherein the vehicle fuel cell system assembly is configured to perform a sensor plausibility check of the first sensor and the second sensor and use a value of a sensor that has passed the plausibility check instead of a value of a sensor that has not passed the plausibility check.
    Type: Application
    Filed: October 10, 2024
    Publication date: April 24, 2025
    Inventors: Pranav ARYA, Ricard BLANC
  • Publication number: 20250131239
    Abstract: An artificial neural network (ANN) receives a sequence of input data tokens. The ANN has a hidden state memory of size N and a set of weights having a size that scales on or below an order of N. The ANN processes each token in the sequence of input data tokens by performing, based on each token, a logical operation on the hidden state memory to generate an updated hidden state memory. Processing the sequence of input data tokens comprises performing a number of compute operations that scales on or below an order of N{circumflex over (?)}1.5. The ANN obtains, from the updated hidden state memory after processing each token, a final hidden state memory. The ANN generates an inference result based on the final hidden state memory.
    Type: Application
    Filed: October 18, 2024
    Publication date: April 24, 2025
    Applicant: ColdQuanta, Inc.
    Inventors: Pranav Gokhale, Teague Tomesh
  • Publication number: 20250131714
    Abstract: A system includes a training server that in a training phase causes a custom neural network model for foliage detection to learn features related to foliage from a modified training dataset and further learn a color variation range of a predefined color associated with the features. A combination of the features related to foliage and the color variation range of the predefined color is utilized to obtain a trained custom neural network model that is deployed in a camera apparatus. The camera apparatus in the operational phase captures a new color image of an agricultural field, operates the trained custom neural network model to detect one or more foliage regions in the new color image in a real time or near real time, and operates at least one of a plurality of agricultural implements, based on the detected one or more foliage regions in the new color image.
    Type: Application
    Filed: June 12, 2024
    Publication date: April 24, 2025
    Inventors: Dhivakar Kanagaraj, Pranav M P, Raghul Raghu, Prakash Mathews Pothen
  • Publication number: 20250133177
    Abstract: A training server acquires an input color image of an agricultural field, detects one or more foliage regions in the input color image, and generates output binary mask images of foliage mask indicating one or more foliage regions and a soil region. The training server further generates an augmented color image by combining pixels of the soil region adjusted for soil hue, with pixels of the one or more foliage regions unaltered from the acquired input color image in the RGB color space. The training server then utilizes the generated augmented color image in training of a crop detection (CD) neural network model.
    Type: Application
    Filed: July 31, 2024
    Publication date: April 24, 2025
    Inventors: Dhivakar Kanagaraj, Pranav M P, Raghul Raghu, Parth Gupta, Ananya Mahapatra
  • Publication number: 20250131695
    Abstract: A training server includes one or more processors configured to determine a plurality of crop image data variation classifications representative of real-world variations in physical appearance of a crop plant as well as a surrounding area around the crop plant. A first set of input color images is selected from first training dataset and a plurality of different image level augmentation operations are executed to obtain an augmented set of color images. Noisy images are identified and filtered from a second training dataset and a third training dataset comprising noise filtered images from the second training dataset is obtained. The third training dataset is split into a plurality of different classes for data balancing across the plurality of different classes and a neural network model in a first stage is trained on the third training dataset.
    Type: Application
    Filed: July 29, 2024
    Publication date: April 24, 2025
    Inventors: Dhivakar Kanagaraj, Pranav M P, Raghul Raghu, Parth Gupta, Vijay Sundaram
  • Patent number: 12284169
    Abstract: Systems and methods are described for accessing resources of a Unified Endpoint Management (“UEM”) system through an enrolled device. In an example, an unenrolled device can be paired with an enrolled device. The unenrolled device can connect to the enrolled device on a local network. The enrolled device can verify the unenrolled device using a key provided during pairing. The unenrolled device can send requests for UEM resources to the enrolled device, which the enrolled device can send to a UEM server. The UEM server can send the requested UEM resources to the enrolled device, and the enrolled device can send the UEM resources to the enrolled device over the local network.
    Type: Grant
    Filed: August 27, 2021
    Date of Patent: April 22, 2025
    Assignee: Omnissa, LLC
    Inventors: Pranav Ashok Shenoy, Sharun Varghese Samuel, Rohit Pradeep Shetty
  • Patent number: 12281852
    Abstract: An energy storage tank defining a tank volume for heat transfer fluid and comprising a partition dividing the tank volume into a first volume and a second volume, wherein the partition is movable to/from any position between a minimum energy storage position corresponding to a minimum second volume, and a maximum energy storage position corresponding to a maximum second volume, the energy storage tank further comprising a biasing device being arranged such that movement of the partition away from the minimum energy storage position corresponds to storing energy in the biasing device, and movement towards the minimum energy storage position corresponds to releasing energy from the biasing device.
    Type: Grant
    Filed: September 28, 2022
    Date of Patent: April 22, 2025
    Assignee: Volvo Truck Corporation
    Inventors: Pranav Arya, Ubaldo Tiberi, Ricard Blanc
  • Publication number: 20250124389
    Abstract: A method for facilitating automated scoring of software development tasks by using predictive analytics is disclosed. The method includes receiving, via a graphical user interface, search requests for various tasks; aggregating raw data that corresponds to the tasks, the raw data including information in a natural language format; generating structured data sets from the raw data based on predetermined parameters; determining, by using a first model, a task score for each of the tasks based on the structured data sets; determining, by using a second model, a confidence score for the task score; and computing predictive outputs for the tasks based on the corresponding task score and the corresponding confidence score.
    Type: Application
    Filed: October 12, 2023
    Publication date: April 17, 2025
    Applicant: JPMorgan Chase Bank, N.A.
    Inventors: Pranav RAMAN, Terrence COOK, Nitin CHALLA, Grace KIM, Caleb MCCLATCHEY, Venkatraghavan KANNAN
  • Publication number: 20250125388
    Abstract: A short circuit diagnostic method for a vehicle fuel cell system includes supplying a first electric voltage to a first electric input and a second electric voltage to a second electric input, the second electric voltage being different from the first electric voltage, measuring a voltage difference between the first electric input and the second electric input, comparing the voltage difference with a threshold voltage, and determining that a fuel cell system short circuit is present should the voltage difference be below the threshold voltage.
    Type: Application
    Filed: October 2, 2024
    Publication date: April 17, 2025
    Applicant: VOLVO TRUCK CORPORATION
    Inventors: Pranav ARYA, Toni Cacic, Ricard Blanc
  • Patent number: 12277394
    Abstract: This disclosure relates to systems and methods for multi-utterance generation of data. Embodiments of the present disclosure utilizes a smart framework that is capable of generating contextually relevant utterances with immutability regulation and punctuation-memory. More Specifically, the present disclosure generates multiple syntactically and semantically correct utterances for text input data in such a way that a provision to selectively maintain or regulate phrases or words intact is provided and punctuation consistency is maintained.
    Type: Grant
    Filed: November 1, 2022
    Date of Patent: April 15, 2025
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Nidhi Harshad Shroff, Paras Dwivedi, Siva Prasad Pusarla, Sudhakara Deva Poojary, Pranav Champaklal Shah, Varsha Nayak, Amit Aggrawal, Godfrey Claudin Mathais
  • Patent number: 12277630
    Abstract: Systems and methods for image processing are configured. Embodiments of the present disclosure identify target style attributes and target structure attributes for a composite image; generate a matrix of composite feature tokens based on the target style attributes and the target structure attributes, wherein subsequent feature tokens of the matrix of composite feature tokens are sequentially generated based on previous feature tokens of the matrix of composite feature tokens according to a linear ordering of the matrix of composite feature tokens; and generate the composite image based on the matrix of composite feature tokens, wherein the composite image includes the target style attributes and the target structure attributes.
    Type: Grant
    Filed: May 9, 2022
    Date of Patent: April 15, 2025
    Assignee: ADOBE INC.
    Inventors: Pranav Vineet Aggarwal, Midhun Harikumar, Ajinkya Gorakhnath Kale
  • Publication number: 20250117967
    Abstract: A method, apparatus, non-transitory computer readable media, and system for image generation include obtaining an input text prompt and an indication of a level of a target characteristic, where the target characteristic comprises a characteristic used to train an image generation model. Some embodiments generate an augmented text prompt comprising the input text and an objective text corresponding to the level of the target characteristic. Some embodiments generate, using the image generation model, an image based on the augmented text prompt, where the image depicts content of the input text prompt and has the level of the target characteristic.
    Type: Application
    Filed: February 16, 2024
    Publication date: April 10, 2025
    Inventors: Ritiz Tambi, Purvak Lapsiya, Ajinkya Gorakhnath Kale, Pranav Vineet Aggarwal, Nikolaos Vlassis
  • Publication number: 20250117784
    Abstract: A computer-implemented system for streamlining encryption payload of a card transaction from a transaction code transaction via a merchant inside a restricted computer network firewall. A wallet application stores data of a payment device, and the wallet application retrieves information of a merchant and a transaction via a transaction code. In response to the retrieved information, the wallet application generates an encrypted payload. The wallet application transmits the encrypted payload to a payment facilitator within the restricted computer network firewall. After decryption of the encrypted payload, the payment facilitator transmits a decrypted payload in one payment packet to the payment processing server outside the restricted computer network firewall.
    Type: Application
    Filed: November 4, 2024
    Publication date: April 10, 2025
    Applicant: Visa International Service Association
    Inventors: Pranav Sheth, Ying Hao, Vinay Gaonkar
  • Patent number: 12270886
    Abstract: Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.
    Type: Grant
    Filed: April 28, 2023
    Date of Patent: April 8, 2025
    Assignee: Intel Corporation
    Inventors: Yatish Mishra, Mats Agerstam, Mateo Guzman, Sindhu Pandian, Shubhangi Rajasekhar, Pranav Sanghadia, Troy Willes
  • Patent number: 12271782
    Abstract: Sense+compute (S+C) quantum-state carriers (QSCs), e.g., rubidium atoms, can be used provide more scalable quantum sensor systems. Multiple S+C QSCs can capture sensor data. The sensor data can then be transformed in the quantum domain according to a quantum tomographic protocol. The transformed data can be measured to provide a respective classical domain measurement. The sensing, transformation, and measurement can be repeated to provide a set of measurements (corresponding to different transformations) that can be combined according to the quantum tomography protocol to generate a model of the original quantum state. Estimation error associated with the model can be scaled down at a rate corresponding more closely to increases in the number N of QSCs than ?{square root over (N)}, even in the presence of noise.
    Type: Grant
    Filed: June 2, 2023
    Date of Patent: April 8, 2025
    Assignee: ColdQuanta, Inc.
    Inventors: Michael A. Perlin, Pranav Gokhale, Frederic T. Chong, Mark Saffman, Dana Zachary Anderson
  • Patent number: 12271294
    Abstract: A requirements to test (R2T) system is implemented, which provides an automated system by which a user interface (UI)-test automation script package is generated and the generated test scripts therein are executed against software. A visualized workflow is translated into some machine-consumable formatted file. The translated workflow is utilized by an artificial intelligence driven automated R2T engine to discover paths through the workflow, a series of executable steps for the paths that detail how the software will be used, and ultimately test scripts that are generated using pre-defined validation templates. An automation platform executes the test scripts through the software associated with the workflow, which automatically captures evidence of the executed test scripts to fulfill computer system validation requirements. The R2T system provides an automated solution for test script creation and system validation to expedite the validation process and thereby streamline a software's time to market.
    Type: Grant
    Filed: November 7, 2023
    Date of Patent: April 8, 2025
    Assignee: IQVIA, Inc.
    Inventors: Pranav P. Chapagain, Massimo Franza, Ramon Eduardo Aldana Borjes
  • Patent number: D1069344
    Type: Grant
    Filed: February 26, 2020
    Date of Patent: April 8, 2025
    Inventors: Pranav Sachdev, Jeng Ting Alan Lau