Engin Ipek

Title: Engin Ipek: Innovator in Neural Networks and Magnetization Switching

Introduction

Engin Ipek is a prominent inventor based in Rochester, NY, known for his significant contributions to the fields of artificial intelligence and magnetization technologies. With a total of 10 patents to his name, Ipek has made remarkable strides in enhancing the efficiency of neural networks and magnetic materials.

Latest Patents

One of Ipek's latest patents is a method of enabling sparse neural networks on memresistive accelerators. This innovative approach involves storing a sparse weight matrix for a trained artificial neural network in a circuit that includes a series of clusters. The method partitions the sparse weight matrix into sub-blocks, with one containing only zero-value weights and the other containing non-zero value weights. This configuration allows for efficient matrix-vector multiplication during inference, significantly reducing energy consumption by power gating the sub-blocks with all zero elements.

Another notable patent focuses on switching perpendicularly magnetized nanomagnets using spin-orbit torques without external magnetic fields. This method controls the trajectory of magnetization switching in a ferromagnetic layer by injecting a charge current through a heavy-metal thin film. The process allows for precise manipulation of magnetization, enhancing the performance of magnetic devices.

Career Highlights

Engin Ipek has worked with esteemed organizations such as the University of Rochester and Samsung Electronics Co., Ltd. His experience in these institutions has allowed him to develop cutting-edge technologies that bridge the gap between theoretical research and practical applications.

Collaborations

Ipek has collaborated with notable professionals in his field, including Eby G Friedman and Mohammad Kazemi. These partnerships have fostered an environment of innovation and have contributed to the advancement of technology in neural networks and magnetization.

Conclusion

Engin Ipek's work exemplifies the spirit of innovation in technology, particularly in the realms of artificial intelligence and magnetization. His patents reflect a commitment to enhancing efficiency and performance in these critical areas.