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For the Inventor, By the Inventor

Menlo Park, CA, United States of America

Richard Socher

LinkedIn
USPTO Granted Patents = 70 

 

 

Average Co-Inventor Count = 3.6

ph-index = 16

Forward Citations = 783(Granted Patents)


Inventors with similar research interests:


Location History:

  • San Francisco, CA (US) (2021 - 2023)
  • Menlo Park, CA (US) (2019 - 2024)

Company Filing History:

goldMedal56 out of 3,145 
 
Salesforce Com, Inc.
 patents
silverMedal14 out of 1,412 
 
Salesforce, Inc.
 patents

Years Active: 2019-2025

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70 patents (USPTO):
1. 12298982 - Diversity and explainability parameters for recommendation accuracy in machine learning recommendation systems (2025-05-13),
2. 12235790 - Deep neural network-based decision network (2025-02-25),
3. 12217146 - Generating dual sequence inferences using a neural network model (2025-02-04),
4. 12198047 - Quasi-recurrent neural network based encoder-decoder model (2025-01-14),
5. 12169698 - Systems and methods for reading comprehension for a question answering task (2024-12-17),
6. 12086539 - System and method for natural language processing using neural network with cross-task training (2024-09-10),
7. 12014257 - Domain specific language for generation of recurrent neural network architectures (2024-06-18),
8. 11928600 - Sequence-to-sequence prediction using a neural network model (2024-03-12),
9. 11922305 - Systems and methods for safe policy improvement for task oriented dialogues (2024-03-05),
10. 11822897 - Systems and methods for structured text translation with tag alignment (2023-11-21),
11. 11797825 - Training a joint many-task neural network model using successive regularization (2023-10-24),
12. 11783164 - Joint many-task neural network model for multiple natural language processing (NLP) tasks (2023-10-10),
13. 11775775 - Systems and methods for reading comprehension for a question answering task (2023-10-03),
14. 11749264 - System and methods for training task-oriented dialogue (TOD) language models (2023-09-05),
15. 11741372 - Prediction-correction approach to zero shot learning (2023-08-29),

Title: The Innovative Journey of Richard Socher

Introduction: Richard Socher, a pioneering inventor based in Menlo Park, CA, has made significant contributions to the field of artificial intelligence and natural language processing.

Latest Patents: Richard Socher holds several groundbreaking patents in the areas of machine learning, deep learning, and neural networks, revolutionizing how computers understand and process human language.

Career Highlights: With a background in computer science and a Ph.D. from Stanford University, Socher has held key roles at major tech companies, leading research and development teams focused on advancing AI technologies.

Collaborations: Throughout his career, Richard Socher has collaborated with top researchers, engineers, and data scientists to push the boundaries of AI innovation, resulting in cutting-edge solutions for various industries.

Conclusion: Richard Socher's relentless pursuit of innovation and his commitment to pushing the limits of AI technology have solidified his reputation as a visionary inventor in the ever-evolving field of artificial intelligence.

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