Mohammad Salameh

Title: Innovations of Mohammad Salameh in Neural Architecture Search

Introduction

Mohammad Salameh is an accomplished inventor based in Edmonton, Canada. He has made significant contributions to the field of artificial intelligence, particularly in the area of neural architecture search. His innovative approach combines reinforcement learning techniques to enhance the efficiency of generating neural architectures.

Latest Patents

Salameh holds a patent for a method titled "Method of neural architecture search using continuous action reinforcement learning." This invention presents a system for generating neural architectures tailored to perform specific tasks. The method employs an actor neural network that generates randomized continuous action parameters, promoting exploration within a search space to create candidate architectures without bias. The generated architectures are evaluated based on their performance, and corresponding rewards and states are determined. A critic neural network learns to map continuous actions to rewards using a modified Deep Deterministic Policy Gradient (DDPG) with a quantile loss function, sampling a list of top-performing architectures. The actor neural network is subsequently updated with this learned mapping.

Career Highlights

Salameh is currently associated with Huawei Technologies Co., Limited, where he continues to push the boundaries of innovation in technology. His work focuses on integrating advanced machine learning techniques to improve neural network performance and efficiency.

Collaborations

Some of his notable coworkers include Keith George Mills and Di Niu, who contribute to the collaborative environment that fosters innovation and creativity within the team.

Conclusion

Mohammad Salameh's contributions to neural architecture search exemplify the intersection of artificial intelligence and innovative engineering. His patent reflects a significant advancement in the field, showcasing his expertise and commitment to pushing technological boundaries.