Patents by Inventor SUBHASISH GHOSH

SUBHASISH GHOSH 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: 20250054095
    Abstract: A method of scheduling a plurality of active GPU drivers in a GPU includes, for one or more of the plurality of active GPU drivers, allocating a portion of a scheduling interval to the active GPU driver and selecting an active GPU driver for execution according to a priority-based scheduling algorithm. In response to an active GPU driver executing within its allocated portion, the priority level of the active GPU driver is increased, in response to the active GPU driver completing its workload within its allocated portion the priority level of the active GPU driver is reset and in response to the active GPU driver executing for its whole allocated portion, the priority level of the active GPU driver is reduced. The priority levels of each active GPU driver are reset to their initial priority levels at the start of each scheduling interval.
    Type: Application
    Filed: July 24, 2024
    Publication date: February 13, 2025
    Inventor: Subhasish Ghosh
  • Publication number: 20240111964
    Abstract: Technical interviewing is important for organizations for assessing a candidate to make hiring decision. For effective technical interviewing, predicting difficulty of long form technical questions is crucial. The present disclosure provides systems and methods for predicting difficulty of long form technical questions using weak supervision from textbooks. Further, zero shot pre-trained large language models and unsupervised template-based technique are used for generating questions. Furthermore, a difficulty score is assigned to the generated questions based on context difficulty and task difficulty. The context difficulty for the generated questions is computed using hierarchical structure of the textbooks, and the task difficulty is computed by determining a similarity between the generated questions and Bloom's taxonomy levels.
    Type: Application
    Filed: August 23, 2023
    Publication date: April 4, 2024
    Applicant: Tata Consultancy Services Limited
    Inventors: Arpita KUNDU, Subhasish Ghosh, Pratik Saini, Indrajit Bhattacharya, Tapas Nayak
  • Publication number: 20240095466
    Abstract: The present disclosure a method for document structure based unsupervised long-form technical question generation. Initially, the system receives a textbook document. Further, a PDF metadata is extracted from the textbook document using a Natural Language Processing (NLP) technique. Further, a plurality of structures from the textbook document based on the PDF metadata using an NLP based filtering technique. Further, a plurality of index based question templates and Table of Contents (TOC) based question templates are obtained from a plurality of predefined question templates using the plurality of structures. Further, the generated plurality of long-form technical questions are generated using the obtained index and TOC based question templates. The plurality of long-form technical questions are further evaluated by the system using plurality of metrics.
    Type: Application
    Filed: August 16, 2023
    Publication date: March 21, 2024
    Applicant: Tata Consultancy Services Limited
    Inventors: SUBHASISH GHOSH, ARPITA KUNDU, INDRAJIT BHATTACHARYA, PRATIK SAINI, TAPAS NAYAK
  • Publication number: 20230109692
    Abstract: This disclosure relates generally to method and system for providing assistance to interviewers. Technical interviewing is immensely important for enterprise but requires significant domain expertise and investment of time. The present disclosure aids assists interviewers with a framework via an interview assistant bot. The method initiates an interview session for a job description by selecting a set of qualified candidates resume to be interviewed. Further, the IA bot recommends each interviewer with a set of question and reference answer pairs prior initiating the interview. At each interview step, the IA bot records interview history and recommends interviewer with the revised set of questions. Further, an assessment score is determined for the candidate using the reference answer extracted from a resource corpus. Additionally, statistics about the interview process is generated, such as number and nature of questions asked, and its variation across to identify outliers for corrective actions.
    Type: Application
    Filed: August 26, 2022
    Publication date: April 13, 2023
    Applicant: Tata Consultancy Services Limited
    Inventors: ANUMITA DASGUPTA, INDRAJIT BHATTACHARYA, GIRISH KESHAV PALSHIKAR, PRATIK SAINI, SANGAMESHWAR SURYAKANT PATIL, SOHAM DATTA, PRABIR MALLICK, SAMIRAN PAL, SUNIL KUMAR KOPPARAPU, AISHWARYA CHHABRA, AVINASH KUMAR SINGH, KAUSTUV MUKHERJI, MEGHNA ABHISHEK PANDHARIPANDE, ANIKET PRAMANICK, ARPITA KUNDU, SUBHASISH GHOSH, CHANDRASEKHAR ANANTARAM, ANAND SIVASUBRAMANIAM, GAUTAM SHROFF