Mountain View, CA, United States of America

Bhaskar Srinivas Gurram

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Google Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bhaskar Srinivas Gurram. Retrieved from https://idiyas.com/inventor/bhaskar-srinivas-gurram

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Bhaskar Srinivas Gurram - Innovator in Biological Sequence Labeling

Introduction

Bhaskar Srinivas Gurram is an inventor based in Mountain View, CA (US). He has made significant contributions to the field of biological sequence analysis. His innovative approach utilizes neural networks to enhance the accuracy of labeling biological sequences.

Latest Patent Applications

One of his notable patent applications is titled "PREDICTING LABELS FOR BIOLOGICAL SEQUENCES USING NEURAL NETWORKS CONDITIONED ON POSITIVE AND NEGATIVE EXAMPLES." This application describes methods, systems, and apparatuses, including computer programs encoded on a computer storage medium, for predicting labels for biological sequences. The method involves determining a score for each candidate label that characterizes the likelihood of association with the input biological sequence. This is achieved by identifying a plurality of positive biological sequences associated with the candidate label and processing the input biological sequence using a neural network to generate the score. The method concludes with selecting one or more candidate labels based on these scores.

Conclusion

Bhaskar Srinivas Gurram's work in predicting labels for biological sequences showcases his innovative spirit and dedication to advancing technology in the field of biology. His contributions have the potential to significantly impact biological research and applications.

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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