This inventor holds 2 USPTO granted patents and 2 EPO patents. Top assignee: Qualcomm Incorporated. Active years: 2019-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019-2023
Title: Lakshmi Narayana Macha: Innovator in Neural Network Compression and Data Exchange
Introduction
Lakshmi Narayana Macha is a prominent inventor based in San Diego, CA. He has made significant contributions to the fields of neural networks and data exchange protocols. With a total of 2 patents, Macha's work focuses on enhancing the efficiency of data processing in modern technology.
Latest Patents
Macha's latest patents include innovative techniques for compressing deep neural network weights. One patent describes a method for compression and decompression of weight data sets. This involves receiving a weight data set of binary numbers, generating a frame payload with compressed weight values, and creating a block of compressed weight data. The second patent outlines a low power, low latency protocol for data exchange. This method provides timing information between processing entities to optimize message exchanges while minimizing power consumption.
Career Highlights
Macha is currently employed at Qualcomm Incorporated, a leading technology company known for its advancements in wireless communications. His work at Qualcomm has allowed him to explore cutting-edge technologies and contribute to the development of innovative solutions in the industry.
Collaborations
Throughout his career, Macha has collaborated with notable colleagues, including Andy I-Fong Yu and Honghao Liu. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Lakshmi Narayana Macha is a distinguished inventor whose work in neural network compression and data exchange protocols has made a significant impact in the technology sector. His contributions continue to shape the future of data processing and communication.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
