Atlanta, GA, United States of America

Meera Satya Hahn

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Meera Satya Hahn. Retrieved from https://idiyas.com/inventor/meera-satya-hahn

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Meera Satya Hahn: Innovator in Temporal Sequence Generation

Introduction

Meera Satya Hahn is an inventive mind based in Atlanta, GA (US). She is known for her contributions to the field of artificial intelligence, particularly in the area of generating temporal sequences using advanced neural network techniques. Her innovative approach aims to enhance the efficiency and accuracy of data processing in various applications.

Latest Patent Applications

Meera Satya Hahn has filed a patent application titled "GENERATING TEMPORAL SEQUENCES USING DIFFUSION TRANSFORMER NEURAL NETWORKS." This application outlines methods, systems, and apparatuses, including computer programs encoded on a computer storage medium, for generating an output temporal sequence of data elements conditioned on an input. The method involves obtaining an input that includes a noise input with a respective latent representation for each segment of the temporal sequence. It also details the process of updating the latent representation for each segment using a latent denoising neural network, ultimately generating the output temporal sequence by processing the latent representations.

Conclusion

Meera Satya Hahn is a promising inventor whose work in generating temporal sequences through innovative neural network methods showcases her potential in the field of artificial intelligence. Her contributions may pave the way for advancements in data processing technologies.

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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