Alexander Benjamin Graves

This inventor holds 22 USPTO granted patents and 4 published patent applications, plus 1 CIPO patent and 10 EPO patents, primarily in Neural Networks. Top assignees: Deepmind Technologies Limited, Google Inc.. Active years: 2019-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alexander Benjamin Graves. Retrieved from https://idiyas.com/inventor/alexander-benjamin-graves

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

Calculating rank

USPTO Granted Patents = 22 (Patent Applications = 4)

% Patents Active = 100.0

CIPO Patents = 1

EPO Patents = 10 (Patent Applications = 12)

Average Co-Inventor Count = 2.3

ph-index = 3

Forward Citations = 25(Granted Patents)

Company Filing History:

16 out of 313

Deepmind Technologies Limited

Years Active: 2019-2025

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Areas of Expertise:

Neural Networks

Speech Recognition

Reinforcement Learning

External Memory

Deep Learning

Synthetic Gradients

Task Selection Policies

Long Short-Term Memory

Asynchronous Learning

Machine Learning Models

Deep Recurrent Networks

Memory Augmentation

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.

Profile summary based on public USPTO records.