Yorktown Heights, NY, United States of America

Jiamin Ni


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jiamin Ni: Innovator in Machine Learning Technology

Introduction

Jiamin Ni is a notable inventor based in Yorktown Heights, NY (US). He has made significant contributions to the field of machine learning, particularly through his innovative patent. His work exemplifies the intersection of technology and creativity, showcasing the potential of advanced computational methods.

Latest Patents

Jiamin Ni holds a patent titled "Four-bit training for machine learning." This invention includes an apparatus that features a floating-point gradient register, an integer register, a memory bank, and an array of processing units. Each processing unit is equipped with multiple binary shifters that are designed to handle a 4-bit integer multiplicand and an exponent field of a 4-bit floating point multiplier. The unique design of the multiplier is specified in a mantissaless four-bit floating point format, which includes a sign bit, three exponent bits, and no mantissa bits. The invention also incorporates an adder tree and a rounder, enhancing the efficiency of machine learning processes.

Career Highlights

Jiamin Ni is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in machine learning. His innovative spirit and technical expertise have positioned him as a valuable asset in the tech industry.

Collaborations

Jiamin collaborates with talented individuals such as Xiao Sun and Ankur Agrawal. These partnerships foster a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Jiamin Ni's contributions to machine learning through his patent demonstrate his commitment to innovation and excellence in technology. His work at IBM and collaborations with other professionals highlight the importance of teamwork in driving advancements in the field.

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