Seattle, WA, United States of America

Jonathan Raiman

USPTO Granted Patents = 1 

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Jonathan Raiman in Data Path Circuit Design

Introduction

Jonathan Raiman is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of data path circuit design, particularly through the application of machine learning techniques. His innovative approach aims to enhance the efficiency and performance of circuit designs.

Latest Patents

Jonathan Raiman holds a patent for a groundbreaking invention titled "Data path circuit design using reinforcement learning." This patent describes apparatuses, systems, and techniques for designing a data path circuit, such as a parallel prefix circuit, utilizing reinforcement learning. The method involves receiving a first design state of a data path circuit, inputting this state into a machine learning model, and performing reinforcement learning to produce a final design state. This final design state is characterized by reduced area, power consumption, and delay compared to traditionally designed data path circuits. He has 1 patent to his name.

Career Highlights

Jonathan Raiman is currently employed at Nvidia Corporation, a leading technology company known for its advancements in graphics processing and artificial intelligence. His work at Nvidia focuses on integrating machine learning into circuit design, which is a crucial area in modern electronics.

Collaborations

Some of Jonathan's notable coworkers include Rajarshi Roy and Saad Godil. Their collaboration contributes to the innovative environment at Nvidia, fostering advancements in technology and circuit design.

Conclusion

Jonathan Raiman's work in data path circuit design exemplifies the intersection of machine learning and electronics. His contributions are paving the way for more efficient circuit designs that can significantly impact various technological applications.

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