Evren Tumer

Title: Evren Tumer: Innovator in Neural Network Quantization

Introduction

Evren Tumer is a prominent inventor based in Temecula, California. He has made significant contributions to the field of machine learning, particularly in the quantization of neural networks. His innovative approach has the potential to enhance the efficiency and performance of artificial intelligence systems.

Latest Patents

Evren Tumer holds a patent titled "Methods and arrangements to quantize a neural network with machine learning." This patent outlines a method where logic can quantize a primary neural network. The process involves generating quantization parameters through a secondary neural network, which aids in optimizing the primary neural network's logic circuitry. The primary neural network consists of multiple layers that are trainable with an objective function, incorporating multiple tensors in each layer.

Career Highlights

Evren Tumer is currently employed at Intel Corporation, where he applies his expertise in machine learning and neural networks. His work at Intel has positioned him as a key player in advancing technology in this rapidly evolving field.

Collaborations

Evren collaborates with notable colleagues, including Somdeb Majumdar and Ron Banner. Their combined efforts contribute to the innovative projects at Intel Corporation, fostering a collaborative environment that drives technological advancements.

Conclusion

Evren Tumer's work in neural network quantization exemplifies the intersection of innovation and technology. His contributions are paving the way for more efficient machine learning applications, showcasing the importance of inventors in shaping the future of artificial intelligence.