Cupertino, CA, United States of America

Amith Rajith Mamidala

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Amith Rajith Mamidala

Introduction

Amith Rajith Mamidala is an accomplished inventor based in Cupertino, CA. He has made significant contributions to the field of neural networks, particularly through his innovative patent. His work is recognized for its potential to enhance the efficiency of neural network models.

Latest Patents

Amith holds a patent titled "Tensor Rematerialization." This technique involves rematerializing a tensor in a neural network model by identifying a candidate operator for rematerialization within a data flow graph. The process includes determining an operator chain that starts at one or more source operators and ends at the candidate operator. The profitability of rematerializing the operator chain is assessed by comparing the memory footprint of source data and the tensor. If deemed profitable, the operator chain is integrated into the data flow graph where the tensor is reused. This innovation has the potential to optimize memory usage in neural networks.

Career Highlights

Amith Rajith Mamidala is currently employed at Amazon Technologies, Inc., where he continues to develop cutting-edge technologies. His expertise in neural networks and data flow optimization has positioned him as a valuable asset in the tech industry.

Collaborations

Amith has collaborated with notable colleagues, including Pushkar Ratnalikar and Hongbin Zheng. Their combined efforts contribute to the advancement of technology in their respective fields.

Conclusion

Amith Rajith Mamidala's innovative work in neural networks exemplifies the impact of modern inventions on technology. His patent on tensor rematerialization showcases his commitment to enhancing efficiency in data processing.

Profile summary based on public USPTO records.
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