Geng Chen

Title: Geng Chen: Innovator in Deep Learning and Power Conversion Technologies

Introduction

Geng Chen is a prominent inventor based in Shanghai, China. He has made significant contributions to the fields of deep learning and power conversion technologies. With a total of 2 patents, his work showcases innovative solutions that address complex challenges in hardware and electrical engineering.

Latest Patents

Geng Chen's latest patents include a hardware circuit for deep learning task scheduling. This invention describes apparatuses, systems, and techniques for scheduling deep learning tasks in hardware. One accelerator circuit includes multiple fixed-function circuits that each process a different layer type of a neural network. A scheduler circuit receives state information associated with a respective layer being processed and determines when to enable the fixed-function circuit to process the current layer.

Another notable patent is a power converter having a differential determination with a secondary current sensor. This power converter includes a transformer with a primary and a secondary, along with a capacitor and an inductor connected in series with the primary of the transformer. The design allows for accurate current sensing at a low cost without load limitation, while also providing a cycle-by-cycle protection function.

Career Highlights

Geng Chen has worked with leading technology companies, including Nvidia Corporation and Telefonaktiebolaget Lm Ericsson. His experience in these organizations has allowed him to develop and refine his innovative ideas in the tech industry.

Collaborations

Some of Geng Chen's notable coworkers include Yilin Zhang and Yan Zhou. Their collaboration has contributed to the advancement of technologies in their respective fields.

Conclusion

Geng Chen's contributions to deep learning and power conversion technologies highlight his innovative spirit and technical expertise. His patents reflect a commitment to solving real-world problems through advanced engineering solutions.