This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017
Title: Piyush Pathak: Innovator in Machine Learning and Lithography
Introduction
Piyush Pathak is a notable inventor based in Fremont, Texas. He has made significant contributions to the field of machine learning, particularly in the context of lithographic hotspot detection. His innovative approach combines advanced data processing techniques with machine learning algorithms to enhance the efficiency of lithographic processes.
Latest Patents
Piyush Pathak holds a patent for a mechanism that detects hotspots using machine learning on diffraction patterns. This patent outlines a data processing system that receives a design layout and generates spatial pattern clips from it. The system performs a transform on these clips to create frequency domain pattern clips. It then extracts features from these clips to form frequency domain features. Utilizing these features, the system trains a machine learning classifier model to classify previously unseen patterns into hotspots and non-hotspots. This innovative mechanism is crucial for improving the accuracy and reliability of lithographic processes.
Career Highlights
Piyush Pathak is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on leveraging machine learning to solve complex problems in the field of lithography. With a patent portfolio that includes 1 patent, he has established himself as a key player in the intersection of technology and innovation.
Collaborations
Some of Piyush's coworkers include Kanak Behari Agarwal and Shayak Banerjee. Their collaborative efforts contribute to the advancement of technology within their organization.
Conclusion
Piyush Pathak's contributions to machine learning and lithography exemplify the innovative spirit of modern inventors. His work not only enhances the efficiency of lithographic processes but also showcases the potential of machine learning in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
