Alexander Benjamin Graves

USPTO Granted Patents = 22 (Patent Applications = 4)

CIPO Patents = 1

EPO Patents = 10 (Patent Applications = 11)

Average Co-Inventor Count = 2.3

ph-index = 3

Forward Citations = 25(Granted Patents)

Company Filing History:

16 out of 308

Deepmind Technologies Limited

Years Active: 2019-2025

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22 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12299575 - Augmenting neural networks with external memory (2025-05-13),

2. 12217743 - System and method for speech recognition using deep recurrent neural networks (2025-02-04),

3. 12020155 - Reinforcement learning using baseline and policy neural networks (2024-06-25),

4. 11783182 - Asynchronous deep reinforcement learning (2023-10-10),

5. 11756535 - System and method for speech recognition using deep recurrent neural networks (2023-09-12),

6. 11715009 - Training neural networks using synthetic gradients (2023-08-01),

7. 11334792 - Asynchronous deep reinforcement learning (2022-05-17),

8. 11282506 - System and method for speech recognition using deep recurrent neural networks (2022-03-22),

9. 11210579 - Augmenting neural networks with external memory (2021-12-28),

10. 11151443 - Augmenting neural networks with sparsely-accessed external memory (2021-10-19),

11. 11080594 - Augmenting neural networks with external memory using reinforcement learning (2021-08-03),

12. 11010663 - Associative long short-term memory neural network layers (2021-05-18),

13. 10936949 - Training machine learning models using task selection policies to increase learning progress (2021-03-02),

14. 10936946 - Asynchronous deep reinforcement learning (2021-03-02),

15. 10832134 - Augmenting neural networks with external memory (2020-11-10),

Sure, here is the article about inventor Alexander Benjamin Graves:

Title: The Innovation Journey of Alexander Benjamin Graves

Introduction:

Alexander Benjamin Graves, a brilliant inventor based in London, UK, has made significant contributions to the field of artificial intelligence through his groundbreaking patents and innovative work. With a total of 20 patents to his name, Graves is known for his expertise in reinforcement learning and deep neural networks.

Latest Patents:

1. Reinforcement Learning using Baseline and Policy Neural Networks: This patent showcases methods, systems, and apparatus for asynchronous deep reinforcement learning. The system includes a group of workers, each operating independently with a respective actor interacting with a replica of the environment during deep neural network training.

2. Asynchronous Deep Reinforcement Learning: Another key patent by Graves focuses on methods, systems, and apparatus for asynchronous deep reinforcement learning. Similar to the previous patent, this system involves multiple workers and actors in training deep neural networks.

Career Highlights:

Having worked with reputable companies like DeepMind Technologies Limited and Google Inc., Graves has honed his skills and expertise in the field of artificial intelligence. His innovative approach to problem-solving has led to the development of cutting-edge technologies that push the boundaries of AI research.

Collaborations:

Throughout his career, Graves has collaborated with esteemed professionals in the industry, including Ivo Danihelka and Gregory Duncan Wayne. Together, they have worked on projects that have revolutionized the field of reinforcement learning and deep neural networks, cementing their status as leaders in the AI domain.

Conclusion:

Alexander Benjamin Graves' relentless pursuit of innovation and his remarkable contributions to the field of artificial intelligence have solidified his position as a trailblazing inventor. His patents and collaborations are testaments to his dedication to pushing the boundaries of technological advancements, leaving a lasting impact on the world of AI.

This text is generated by artificial intelligence and may not be accurate.