This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Agency for Science, Technology and Research. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations of Rahul Dutta in Electronic Design
Introduction
Rahul Dutta is an accomplished inventor based in Singapore, known for his contributions to the field of electronic design. He has developed innovative methods that leverage machine learning to enhance performance predictions in electronic systems. His work is significant in advancing the capabilities of electronic design processes.
Latest Patents
Rahul Dutta holds a patent titled "Method and system for predicting performance in electronic design based on machine learning." This patent outlines a comprehensive method that utilizes at least one processor to predict performance data for electronic systems. The method involves providing a first machine learning model to predict performance data based on input design parameters, as well as a second model to generate new parameter values based on desired performance data. The process includes evaluating the new parameter values and training the first model with new training data generated from the evaluations. This innovative approach significantly enhances the efficiency and accuracy of electronic design predictions.
Career Highlights
Rahul Dutta is currently associated with the Agency for Science, Technology and Research, where he applies his expertise in machine learning and electronic design. His work has positioned him as a key figure in the research community, contributing to advancements in technology and innovation.
Collaborations
Rahul collaborates with talented individuals such as Raju Salahuddin and Kevin Tshun Chuan Chai. Their combined efforts foster a creative environment that drives innovation in electronic design.
Conclusion
Rahul Dutta's contributions to electronic design through his innovative patent demonstrate the potential of machine learning in enhancing performance predictions. His work continues to influence the field and inspire future advancements in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
