Company Filing History:

7 out of 164,108

International Business Machines Corporation

Amazon Technologies, Inc.

patents

Years Active: 2011-2021

where 'Filed Patents' based on already Granted Patents

16 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 10902352 - Labeling of data for machine learning (2021-01-26),

2. 10565526 - Labeling of data for machine learning (2020-02-18),

3. 10354201 - Scalable clustering for mixed machine learning data (2019-07-16),

4. 10268749 - Clustering sparse high dimensional data using sketches (2019-04-23),

5. 10157351 - Persona based data mining system (2018-12-18),

6. 10089675 - Probabilistic matrix factorization system based on personas (2018-10-02),

7. 9754216 - Labeling of data for machine learning (2017-09-05),

8. 9747555 - Labeling of data for machine learning (2017-08-29),

9. 9424611 - User interface for managing questions and answers across multiple social media data sources (2016-08-23),

10. 9141966 - Opinion aggregation system (2015-09-22),

11. 9026916 - User interface for managing questions and answers across multiple social media data sources (2015-05-05),

12. 8849790 - Rapid iterative development of classifiers (2014-09-30),

13. 8606564 - Extracting rich temporal context for business entities and events (2013-12-10),

14. 8140301 - Method and system for causal modeling and outlier detection (2012-03-20),

15. 7953676 - Predictive discrete latent factor models for large scale dyadic data (2011-05-31),

Title: Srujana Merugu: Innovator in Machine Learning Technologies

Introduction

Srujana Merugu is a notable inventor based in Bengaluru, India, recognized for his significant contributions to machine learning technologies. With a remarkable portfolio, he holds 16 patents that showcase his innovative capabilities and advance the fields of data analysis and artificial intelligence.

Latest Patents

Among his latest inventions, Srujana has developed a patent focused on the labeling of data for machine learning. This innovative approach involves a computer generating labels for machine learning algorithms by retrieving multiple label sets from a data storage circuit. The system creates a graph featuring edges between respective labels from different sets, determining weights for these edges based on the consistency between data points classified by the connected labels. An algorithm then groups these labels based on the determined weights, identifying data points representing conflicts within the grouped labels. Ultimately, electronic messages are transmitted to present these identified data points to entities for further classification, and a new label set is generated using the received classifications. This patent represents a significant step forward in automating and enhancing the efficiency of data labeling processes.

Career Highlights

Srujana has garnered experience working with esteemed companies, including IBM and Yahoo! Inc. His tenure at these organizations has allowed him to refine his expertise in machine learning and data processing, leading to his numerous innovative contributions.

Collaborations

Throughout his career, Srujana has had the opportunity to collaborate with several talented individuals, including his coworkers Prasanta Kumar Ghosh and Shantanu Ravindra Godbole. These collaborations have likely enriched his perspective and further fueled his inventive journey.

Conclusion

Srujana Merugu exemplifies the spirit of innovation in the tech industry, particularly in machine learning. His numerous patents not only highlight his creativity but also contribute to the evolving landscape of data classification technologies. As he continues to develop and implement groundbreaking solutions, Srujana's work will undoubtedly have a lasting impact on the field and inspire future inventions.

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