Company Filing History:

4 out of 32,429

Google Inc.

Amazon Technologies, Inc.

Years Active: 2017-2024

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11 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11934791 - On-device projection neural networks for natural language understanding (2024-03-19),

2. 11526680 - Pre-trained projection networks for transferable natural language representations (2022-12-13),

3. 11423233 - On-device projection neural networks for natural language understanding (2022-08-23),

4. 11216735 - Method and system for providing synthetic answers to a personal question (2022-01-04),

5. 11030394 - Neural models for keyphrase extraction (2021-06-08),

6. 10956929 - Systems and methods for instant generation of human understandable audience insights (2021-03-23),

7. 10885277 - On-device neural networks for natural language understanding (2021-01-05),

8. 10728203 - Method and system for classifying a question (2020-07-28),

9. 10540666 - Method and system for updating an intent space and estimating intent based on an intent space (2020-01-21),

10. 10110544 - Method and system for classifying a question (2018-10-23),

11. 9767400 - Method and system for generating a card based on intent (2017-09-19),

Title: Zornitsa Kozareva: A Trailblazer in Neural Network Innovations

Introduction: Zornitsa Kozareva is an accomplished inventor based in Santa Clara, California, known for her groundbreaking work in the field of neural networks, particularly those applied to natural language understanding. With a total of 11 patents to her name, Kozareva has made significant contributions to the development of innovative architectures that enhance computational efficiency and resource management.

Latest Patents: Among her latest patents, Kozareva has introduced two notable innovations: "On-device projection neural networks for natural language understanding" and "Pre-trained projection networks for transferable natural language representations." The first patent reveals advanced projection neural network architectures, namely Self-Governing Neural Networks (SGNNs) and Projection Sequence Networks (ProSeqoNets). These architectures effectively reduce input dimensionality, making them highly suitable for on-device computations in resource-constrained environments.

Her second patent focuses on systems and methods for pre-training projection networks, which serve as transferable generators for natural language representations. This pre-training approach utilizes randomized locality sensitive hashing (LSH) projections, eliminating the need for static embedding matrices and allowing dynamic computation during inference.

Career Highlights: Zornitsa Kozareva's career has seen her work with prestigious companies, including Google Inc. and Oath Inc. Her contributions have laid the groundwork for advancements in natural language processing and artificial intelligence, establishing her as a leader in her field.

Collaborations: Throughout her career, Kozareva has collaborated with several talented individuals, including Scott J. Gaffney and Sujith Ravi. These partnerships have been instrumental in the development and refinement of her innovative technologies.

Conclusion: Zornitsa Kozareva's pioneering work in neural networks and natural language understanding demonstrates her exceptional skills as an inventor. Her 11 patents reflect her commitment to innovation and her ability to solve complex challenges in technology. With her continued contributions, Kozareva is poised to influence the future of artificial intelligence and computational efficiency.

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