Jeffrey Weifung Lien

Title: The Innovations of Jeffrey Weifung Lien

Introduction

Jeffrey Weifung Lien is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of neural networks, particularly through his innovative patent. His work focuses on enhancing precision in calculations, which is crucial for various applications in technology.

Latest Patents

One of Jeffrey's notable patents is titled "Method and system for elastic precision enhancement using dynamic shifting in neural networks." This invention introduces a multiplier designed to calculate the multiplication of a first fixed point number and a second fixed point number. The patent describes a converter that transforms the first fixed point number into a sign, a mantissa, and an exponent. Notably, the bit width of these components can be dynamically configured based on various factors, including the position of a layer in a neural network and the position of a pixel in an input feature map. The restoration circuit then calculates the multiplication based on these components and the second fixed point number.

Career Highlights

Jeffrey currently works at Novumind Limited, where he continues to push the boundaries of innovation in technology. His expertise in neural networks and precision enhancement has positioned him as a valuable asset in his field.

Collaborations

Throughout his career, Jeffrey has collaborated with talented individuals such as Miao Li and Pingfan Meng. These partnerships have fostered an environment of creativity and innovation, leading to advancements in their respective areas of expertise.

Conclusion

Jeffrey Weifung Lien's contributions to the field of neural networks through his innovative patent demonstrate his commitment to advancing technology. His work not only enhances precision in calculations but also showcases the potential for future developments in this area.