Hieu Van Tran

Title: Hieu Van Tran: Shaping the Future of Analog Neural Memory

Introduction:

Meet Hieu Van Tran, an exceptional innovator and patent holder based in San Jose, California. With an impressive portfolio of 252 patents, Tran has made significant contributions to the field of analog neural memory in artificial neural networks. His latest patents further exemplify his expertise in developing precise programming methods and apparatuses, as well as input and output mechanisms for these advanced networks.

Latest Patents:

Tran's recent patents showcase his expertise in analog neural memory and its relevance to deep learning artificial neural networks. One patent outlines a precise programming method and apparatus for depositing the correct amount of charge on the floating gate of a non-volatile memory cell in a vector-by-matrix multiplication (VMM) array. This algorithm enables extreme precision in programming memory cells to hold any of the N different values required.

Another patent introduces various embodiments for reading values stored within selected memory cells of a VMM array. These embodiments involve input mechanisms, such as a set of input bits resulting in a series of input pulses applied to the selected memory cell, or a set of input bits resulting in a weighted series of output signals that collectively determine the stored value. These innovative approaches contribute to the advancement of analog neural memory in deep learning networks.

Career Highlights:

Throughout his career, Hieu Van Tran has worked with esteemed organizations in the technology industry. He has made significant contributions during his tenure with Silicon Storage Technology, Inc. and Information Storage Devices, Inc. (referred to as SST and ISD respectively for simplicity). His work with these companies has undoubtedly played a pivotal role in shaping the industry and pushing the boundaries of analog neural memory technologies.

Collaborations:

Collaboration is integral to advancing innovation, and Hieu Van Tran has had the privilege of working alongside exceptional individuals during his career. Notable coworkers include Anh Ly and Thuan Vu, who have undoubtedly played instrumental roles in the development of Tran's groundbreaking patents. Together, these talented individuals have contributed to the growth and progression of analog neural memory technology.

Conclusion:

Hieu Van Tran's vast patent portfolio and groundbreaking innovations in the field of analog neural memory demonstrate his indelible mark on the industry. With his precise programming methods and advanced input/output mechanisms, Tran continues to shape the future of artificial neural networks. As he collaborates with talented individuals within the field, we can anticipate further advancements and breakthroughs in the realm of analog neural memory technology.