James Michael Harrison

Title: Innovations of James Michael Harrison

Introduction

James Michael Harrison is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of artificial intelligence, particularly in the training of neural networks. His innovative approach has garnered attention in the tech community, especially for its potential applications in various industries.

Latest Patents

Harrison holds a patent for "Training neural networks using learned optimizers." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for training neural networks using learned optimizers. One of the methods described involves training a neural network layer that comprises a plurality of network parameters with multiple dimensions. The process includes maintaining a set of values corresponding to respective sets of indices of each dimension, performing training steps to obtain new gradients, and updating the network parameters accordingly.

Career Highlights

James Michael Harrison is currently employed at Google Inc., where he continues to push the boundaries of technology through his research and development efforts. His work focuses on enhancing the efficiency and effectiveness of neural networks, which are crucial for various applications in machine learning and artificial intelligence.

Collaborations

Harrison has collaborated with notable colleagues, including Luke Shekerjian Metz and Christian Daniel Freeman. These partnerships have allowed him to leverage diverse expertise and insights, further enriching his innovative projects.

Conclusion

James Michael Harrison's contributions to the field of neural networks exemplify the spirit of innovation that drives technological advancement. His work at Google Inc. and his patent on training neural networks highlight his role as a key player in the evolution of artificial intelligence.