San Jose, CA, United States of America

Mohammad Ghasemzadeh

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.6

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

Loading Chart...
3 patents (USPTO):

Title: Innovations of Mohammad Ghasemzadeh

Introduction

Mohammad Ghasemzadeh is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of technology, particularly in the area of in-memory computing and neural processing. With a total of three patents to his name, Ghasemzadeh continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Acceleration of in-memory-compute arrays." This invention involves an apparatus that includes an in-memory compute circuit designed to generate a set of products by combining received input values with respective weight values stored in the memory circuit. The circuit is capable of generating an accumulated output value based on these products. Another notable patent is the "Mappable filter for neural processor circuit." This invention relates to a neural processor circuit that fetches coefficient data from a memory source and processes input data using this coefficient data, organized according to specific mappings.

Career Highlights

Ghasemzadeh is currently employed at Apple Inc., where he applies his expertise in developing advanced computing technologies. His work has been instrumental in enhancing the performance and efficiency of various computing systems.

Collaborations

Throughout his career, Ghasemzadeh has collaborated with talented individuals such as Paolo Di Febbo and Mohamed Hassan Abu-Rahma. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Mohammad Ghasemzadeh is a prominent inventor whose work in in-memory computing and neural processing has made a significant impact in the tech industry. His patents reflect his commitment to advancing technology and improving computational efficiency.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…