Mountain View, CA, United States of America

Alexey Marinichev

USPTO Granted Patents = 4 

Average Co-Inventor Count = 8.4

ph-index = 2

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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4 patents (USPTO):

Title: **Innovator Spotlight: Alexey Marinichev**

Introduction

Alexey Marinichev, an accomplished inventor based in Mountain View, CA, has made significant contributions to the field of neural network technology. With a remarkable portfolio of 4 patents, he continues to push the boundaries of innovation, particularly in the realm of dedicated hardware for neural networks. His work showcases a deep understanding of both hardware architecture and software design, positioning him as a leading figure in the tech industry.

Latest Patents

One of Marinichev's noteworthy inventions is a method for compiling models for dedicated hardware. This technology focuses on receiving a neural network (NN) model optimized for execution on a specific platform. The NN model consists of multiple layers with various operations, some of which can be executed across several processors. The innovation efficiently sorts these operations based on their compatibility with specific processors, thereby enhancing execution efficiency. Additionally, it assesses transfer costs between processors to assign the most suitable processor to each operation, ultimately minimizing the overall cost of the execution process. Each layer of the NN model is equipped with annotations indicating the assigned processor for each operation, further refining the execution strategy.

Career Highlights

Currently employed at Apple Inc., Alexey Marinichev leverages his expertise to enhance the capabilities of Apple's technology products. His focus on integrating advanced neural network models into dedicated hardware has led to significant improvements in processing efficiency and performance optimization.

Collaborations

Throughout his career, Marinichev has had the opportunity to collaborate with talented individuals such as Francesco Rossi and Xiaojin Shi. These partnerships have fostered a creative environment where innovative solutions to complex problems can be developed and refined.

Conclusion

Alexey Marinichev's contributions to neural network technology exemplify the essence of innovation. With a strong portfolio of patents and collaborative efforts within a leading company like Apple Inc., he continues to play a vital role in advancing the field. As technologies evolve, Marinichev's work promises to influence the future of artificial intelligence and dedicated hardware significantly.

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