Adam Procter

Title: Adam Procter: Innovator in Neural Network Training

Introduction

Adam Procter is a notable inventor based in Hillsboro, OR (US). He has made significant contributions to the field of neural networks, particularly in the area of distributed training. With a total of 2 patents, Procter is recognized for his innovative approaches to enhancing the efficiency and effectiveness of neural network training processes.

Latest Patents

Procter's latest patents include "Methods and apparatus for distributed training of a neural network." This invention discloses an apparatus that includes a neural network trainer, which selects training data items based on a toggle rate. The system also features a neural network parameter memory for storing training parameters and a processor that generates results from distributed training across multiple nodes. Another significant patent is "Synchronization scheduler of distributed neural network training." This technology measures blockage timing during training and determines whether to modify synchronization barrier policies to improve training efficiency.

Career Highlights

Adam Procter is currently employed at Intel Corporation, where he applies his expertise in neural networks. His work focuses on developing advanced technologies that facilitate better training methodologies for neural networks. Procter's contributions have been instrumental in pushing the boundaries of what is possible in artificial intelligence and machine learning.

Collaborations

Procter collaborates with esteemed colleagues such as Vikram A Saletore and Meenakshi Arunachalam. Their combined efforts contribute to the advancement of neural network technologies and foster innovation within the field.

Conclusion

In summary, Adam Procter is a distinguished inventor whose work in neural network training has led to valuable patents and advancements in technology. His contributions continue to shape the future of artificial intelligence and machine learning.