Choong Ng

Title: Inventor Spotlight - Choong Ng

Introduction

Choong Ng is an accomplished inventor based in Seattle, WA, USA, boasting an impressive portfolio of 13 patents. His work primarily focuses on innovations in hardware accelerated machine learning, contributing significantly to advancements in this rapidly evolving field.

Latest Patents

Ng's latest patents showcase his expertise in developing hardware architectures tailored for machine learning applications. One notable patent describes a machine learning hardware accelerator architecture that incorporates multiple memory banks of very wide SRAM, allowing for concurrent access by a multitude of parallel operational units. These units are specifically designed to handle instructions that optimize tensor operations and convolutions. Additionally, Ng disclosed methods including optimized addressing, a shift reader, and enhancements on a multicast network to facilitate efficient data processing. Another significant patent details an apparatus for hardware accelerated machine learning, characterized by an architecture that stores tensor data across multiple memory banks. In this design, execution units can simultaneously fetch tensor data for processing, utilizing a decoder to manage machine learning instructions related to primitive operations.

Career Highlights

Throughout his career, Choong Ng has contributed to significant advancements while working at renowned companies such as Intel Corporation and Coco Communications Corp. His experience in these industry-leading organizations has driven his innovative approaches in hardware design and machine learning technologies.

Collaborations

Ng has collaborated with notable peers in the field, including Jeremy Bruestle and Mark L. Tucker. These partnerships have fostered a dynamic exchange of ideas and have played a role in the successful development of his innovative technologies.

Conclusion

With a strong foundation in machine learning hardware systems and a robust portfolio of patents, Choong Ng continues to push the boundaries of innovation. His contributions not only enhance the field of artificial intelligence but also shape the future of technology, making him a noteworthy inventor in the rapidly advancing landscape of machine learning.