Yonkers, NY, United States of America

Swagath Venkataramani

This inventor holds 35 USPTO granted patents and 7 published patent applications and 2 EPO patents, primarily in Deep Learning Optimization. Top assignees: International Business Machines Corporation, Microsoft Technology Licensing, LLC, Purdue Research Foundation. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Swagath Venkataramani. Retrieved from https://idiyas.com/inventor/swagath-venkataramani

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 35 

% Patents Active = 88.6

 

Average Co-Inventor Count = 4.4

ph-index = 3

Forward Citations = 62(Granted Patents)


Location History:

  • West Lafayette, IN (US) (2018 - 2020)
  • Tirupur, IN (2021 - 2023)
  • White Plains, NY (US) (2023)
  • Yonkers, NY (US) (2019 - 2024)
  • Yorktown Heights, NY (US) (2021 - 2024)

Company Filing History:


Years Active: 2018-2026

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Areas of Expertise:
Neural Networks
Data Manipulation
Artificial Intelligence
Deep Learning
Memory Optimization
Matrix Multiplication
Systolic Arrays
Convolutional Layers
Machine Learning
Quantization
Error Checking
Performance Analysis
35 patents (USPTO):Explore Patents

Title: Innovations of Swagath Venkataramani: A Pioneer in Patent Development

Introduction

Swagath Venkataramani, based in Yonkers, NY, is a notable inventor with an impressive portfolio of 29 patents. His work primarily revolves around advancements in computing and deep learning technologies, showcasing his innovative spirit and technical expertise.

Latest Patents

Among his most recent patents is a "Single function to perform combined matrix multiplication and bias add operations." This invention allows for a combined function, specified by an instruction, that includes multiple operations executed in a single invocation. The function performs matrix multiplication between a first tensor and a second adjusted weight tensor, ultimately incorporating bias tensor values to derive results that become part of an output tensor.

Another significant patent by Venkataramani is a "Method to map convolutional layers of deep neural network on a plurality of processing elements with SIMD execution units, private memories, and connected as a 2D systolic processor array." This method enhances performance in executing deep neural network convolution processing on computing devices by inputting predefined parameters that explore various design choices within a specific computer architecture.

Career Highlights

Swagath has contributed to distinguished companies, including IBM and Microsoft Technology Licensing, LLC, where he has played pivotal roles in advancing technology and innovation in computing. His experience in these high-profile organizations has allowed him to refine his skills and develop his groundbreaking patents.

Collaborations

Throughout his career, Swagath has collaborated with noteworthy colleagues, such as Vijayalakshmi Srinivasan and Jungwook Choi. These collaborations have contributed to the shared pursuit of innovation and the development of cutting-edge technologies, further enriching his professional journey.

Conclusion

Swagath Venkataramani stands out as a significant figure in the realm of technology innovation. His extensive patent portfolio and collaborative efforts within esteemed organizations underscore his commitment to advancing computational methodologies and artificial intelligence. His contributions not only exemplify his prowess as an inventor but also significantly impact the future of technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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