Jin Young Sohn

Title: Jin Young Sohn: Innovator in Neural Network Training

Introduction

Jin Young Sohn is a prominent inventor based in Jersey City, NJ (US). He has made significant contributions to the field of machine learning, particularly in the training of large neural networks. His innovative work has garnered attention in the tech community, especially due to his association with Google Inc.

Latest Patents

Jin Young Sohn holds 1 patent for his invention titled "Training of large neural networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform various machine learning tasks. Notably, the neural network can be configured as a generative neural network, such as an autoregressive generative neural network.

Career Highlights

Throughout his career, Jin Young Sohn has been instrumental in advancing the capabilities of neural networks. His work at Google Inc. has positioned him as a key player in the development of innovative machine learning solutions. His expertise in this area has contributed to the evolution of artificial intelligence technologies.

Collaborations

Jin Young Sohn has collaborated with notable colleagues, including Slav Petrov and Yonghui Wu. These partnerships have fostered an environment of innovation and have led to significant advancements in the field of machine learning.

Conclusion

Jin Young Sohn's contributions to neural network training exemplify the impact of innovative thinking in technology. His work continues to influence the development of machine learning applications, showcasing the importance of research and collaboration in this rapidly evolving field.