IDiyas

For the Inventor, By the Inventor

San Francisco, CA, United States of America

Andrew M Dai

USPTO Granted Patents = 22 

Average Co-Inventor Count = 3.9

ph-index = 5

Forward Citations = 68(Granted Patents)


Company Filing History:

goldMedal22 out of 32,429 
 
Google Inc.
 patents

Years Active: 2015-2025

where 'Filed Patents' based on already Granted Patents

22 patents (USPTO):
1. 12353981 - Training of large neural networks (2025-07-08),
2. 12307367 - Training a document classification neural network (2025-05-20),
3. 12217144 - Machine-learned state space model for joint forecasting (2025-02-04),
4. 11935634 - System and method for predicting and summarizing medical events from electronic health records (2024-03-19),
5. 11900235 - Generating parameter values for recurrent neural networks (2024-02-13),
6. 11868888 - Training a document classification neural network (2024-01-09),
7. 11742087 - Processing clinical notes using recurrent neural networks (2023-08-29),
8. 11501168 - Learning longer-term dependencies in neural network using auxiliary losses (2022-11-15),
9. 11398299 - System and method for predicting and summarizing medical events from electronic health records (2022-07-26),
10. 11200492 - Training a document classification neural network (2021-12-14),
11. 11164066 - Generating parameter values for recurrent neural networks (2021-11-02),
12. 10891287 - Automatic continued search (2021-01-12),
13. 10803380 - Generating vector representations of documents (2020-10-13),
14. 10770180 - Processing clinical notes using recurrent neural networks (2020-09-08),
15. 10685016 - Automatic continued search (2020-06-16),

Title: Innovations by Andrew Mingbo Dai: A Pioneer in State Space Models

Introduction: Andrew Mingbo Dai is an accomplished inventor based in San Francisco, CA. With a focus on machine learning and forecasting, Dai has made significant contributions to the field of data science. His unique approach combines advanced algorithms with practical applications, making him a pivotal figure in modern innovation.

Latest Patents: Andrew Mingbo Dai holds a notable patent titled "Machine-learned state space model for joint forecasting." This deep state space generative model is enhanced with intervention prediction capabilities. The model offers a structured method for capturing the interactions among various observations, interventions, significant event occurrences, true states, and the associated uncertainties. Notably, it incorporates a discrete-time hazard rate model that enables flexible fitting of general survival time distributions. Furthermore, the state space model is capable of outputting joint predictions related to event risks and observation and intervention trajectories based on patterns in temporal progressions and correlations between past measurements and interventions.

Career Highlights: Currently, Andrew Mingbo Dai is employed at Google Inc., where he continues to push the boundaries of artificial intelligence and machine learning. His expertise has contributed to innovative projects that enhance predictive analytics and operational efficiencies.

Collaborations: Throughout his career, Dai has collaborated with fellow researchers and colleagues, including Yuan Xue and Dengyong Zhou. Together, they work on advancing technologies that blend theoretical research with real-world applications, driven by a shared vision of leveraging data for improved decision-making.

Conclusion: As an inventor, Andrew Mingbo Dai exemplifies the spirit of innovation that drives the technology sector forward. His work, particularly in the realm of state space models for forecasting, highlights the dynamic interplay between machine learning and practical solutions. With continued endeavors in artificial intelligence, Dai is poised to make further contributions that will shape the future of the industry.

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