Furkan Isikdogan

Title: Innovations of Furkan Isikdogan

Introduction

Furkan Isikdogan is a prominent inventor based in Santa Clara, California. He has made significant contributions to the field of computer vision through his innovative patents. With a total of six patents to his name, Isikdogan is recognized for his work in machine learning and neural networks.

Latest Patents

One of his latest patents is titled "Partially-frozen neural networks for efficient computer vision systems." This invention discloses an apparatus designed to facilitate partially-frozen neural networks, which enhances the efficiency of computer vision systems. The apparatus includes a frozen core that stores fixed weights of a machine learning model, along with one or more trainable cores that are coupled to the frozen core. These trainable cores comprise multipliers for the trainable weights of the machine learning model. Additionally, the alpha blending layer features a trainable alpha blending parameter, which is a function of a trainable parameter, a sigmoid function, and outputs from both frozen and trainable blocks in a preceding layer of the machine learning model.

Career Highlights

Furkan Isikdogan is currently employed at Intel Corporation, where he continues to push the boundaries of technology and innovation. His work at Intel has allowed him to explore various aspects of machine learning and its applications in real-world scenarios.

Collaborations

Some of his notable coworkers include Gilad Michael and Bhavin V Nayak, who have collaborated with him on various projects within the realm of computer vision and machine learning.

Conclusion

Furkan Isikdogan's contributions to the field of computer vision through his innovative patents highlight his expertise and dedication to advancing technology. His work continues to influence the development of efficient machine learning systems.