Company Filing History:
Years Active: 2019
Title: Mark Ren: Innovator in Machine Learning Technologies
Introduction
Mark Ren is a prominent inventor based in Austin, TX (US). He has made significant contributions to the field of machine learning, particularly in the area of path delay estimation for electronic circuits. His innovative work has garnered attention in the tech industry, especially through his association with Nvidia Corporation.
Latest Patents
Mark Ren holds a patent for a "Machine learning based post route path delay estimator from synthesis netlist." This invention features a neural network that includes an embedding layer designed to receive a gate function vector and an embedding width. The system alters the shape of the gate function vector by the embedding width. It also incorporates a concatenator that receives a gate feature input vector and concatenates it with the altered gate function vector. Additionally, the invention includes a convolution layer that generates an output convolution vector based on the length of the gate function vector, the window size of the convolution layer, and the output feature size. Finally, a fully connected layer reduces the gate output convolution vector to a final path delay output. This patent showcases Mark's expertise in integrating machine learning with electronic design automation.
Career Highlights
Mark Ren has built a successful career at Nvidia Corporation, where he applies his knowledge of machine learning to enhance the performance of electronic systems. His work has been instrumental in advancing the capabilities of Nvidia's products, particularly in optimizing circuit design and performance.
Collaborations
Mark collaborates with Brucek Kurdo Khailany, a fellow innovator at Nvidia Corporation. Their combined expertise contributes to the development of cutting-edge technologies in the field of machine learning and electronic design.
Conclusion
Mark Ren is a notable inventor whose work in machine learning has the potential to revolutionize electronic circuit design. His patent and contributions at Nvidia Corporation highlight his role as a key player in the tech industry.