This inventor holds 69 USPTO granted patents and 14 published patent applications, primarily in Machine Learning Optimization (CPC class G06F). Top assignees: International Business Machines Corporation, Other. Active years: 2008-2026.
Inventors with similar research interests:
Location History:
- Hickaville, NY (US) (2009)
- Hawthorne, NY (US) (2013 - 2014)
- White Plains, NY (US) (2014)
- Hicksville, NY (US) (2008 - 2016)
- Yorktown Heights, NY (US) (2008 - 2023)
Company Filing History:
68 out of 166,209Â 
1 out of 834,350Â Years Active: 2008-2026
Areas of Expertise:
Title: Parijat Dube: Innovator in Machine Learning and Deep Learning Technologies
Introduction
Parijat Dube, an accomplished inventor based in Yorktown Heights, NY, boasts an impressive portfolio of 66 patents. His innovative contributions primarily focus on advancements in machine learning and deep learning technologies, which have significantly impacted various sectors within the industry.
Latest Patents
Among his latest patents, two noteworthy innovations stand out:
1. **Training transfer-focused models for deep learning** - This patent emphasizes determining whether to train a new neural network model by assessing similarity estimates between a sample data set and multiple source data sets linked to previously trained models. It involves identifying a cluster among these prior-trained models to determine a relevant training data set that can enhance the effectiveness of the new model.
2. **Runtime estimation for machine learning tasks** - This invention presents techniques for estimating the runtimes of machine learning tasks. It details a system that comprises memory and a processor that execute computer-executable components. These components include an extraction component for defining performance characteristics of tasks, a model component for generating a performance model, and an estimation component for calculating the estimated runtime of the machine learning process.
Career Highlights
Parijat Dube's career features significant experiences at prominent companies, including the renowned IBM (International Business Machines Corporation). His tenure at IBM allowed him to refine his expertise and contribute to groundbreaking innovations in the fields of machine learning and deep learning.
Collaborations
Throughout his career, Parijat has had the opportunity to collaborate with talented professionals, including Li Feng Zhang and Sameh W Asaad. These collaborations have fostered an environment of innovation and knowledge sharing, leading to the development of advanced technologies within the field.
Conclusion
Parijat Dube's contributions to machine learning and deep learning innovations through his 66 patents exemplify his role as a leading inventor in the technology sector. His latest patents illustrate a commitment to enhancing the efficiency and effectiveness of neural network training and runtime estimation. As the field of artificial intelligence continues to evolve, inventors like Parijat will undoubtedly play a crucial role in shaping its future.