Siamak Shakeri

Title: The Innovations of Siamak Shakeri

Introduction

Siamak Shakeri is a prominent inventor based in New York, NY (US). He has made significant contributions to the field of machine learning, particularly in the training of neural networks. His work has implications for various applications in artificial intelligence.

Latest Patents

Siamak Shakeri holds a patent for the "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 a variety of machine learning tasks. The neural network can be configured as a generative neural network, such as an autoregressive generative neural network. He has 1 patent to his name.

Career Highlights

Siamak Shakeri is currently employed at Google Inc., where he continues to innovate and develop advanced technologies in the realm of artificial intelligence. His expertise in neural networks has positioned him as a key player in the tech industry.

Collaborations

Throughout his career, Siamak has collaborated with notable colleagues, including Slav Petrov and Yonghui Wu. These partnerships have fostered an environment of innovation and have contributed to the advancement of machine learning technologies.

Conclusion

Siamak Shakeri's work in training neural networks exemplifies the cutting-edge advancements in artificial intelligence. His contributions are paving the way for future innovations in the field.