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For the Inventor, By the Inventor

London, United Kingdom

Maxwell Elliot Jaderberg

USPTO Granted Patents = 16 

 

Average Co-Inventor Count = 4.3

ph-index = 3

Forward Citations = 20(Granted Patents)


Company Filing History:

goldMedal16 out of 308 
 
Deepmind Technologies Limited
 patents

Years Active: 2018-2025

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16 patents (USPTO):
1. 12353976 - Gated attention neural networks (2025-07-08),
2. 12314856 - Population based training of neural networks (2025-05-27),
3. 12067491 - Multi-agent reinforcement learning with matchmaking policies (2024-08-20),
4. 12033055 - Gated attention neural networks (2024-07-09),
5. 11941527 - Population based training of neural networks (2024-03-26),
6. 11907821 - Population-based training of machine learning models (2024-02-20),
7. 11842281 - Reinforcement learning with auxiliary tasks (2023-12-12),
8. 11842261 - Deep reinforcement learning with fast updating recurrent neural networks and slow updating recurrent neural networks (2023-12-12),
9. 11734572 - Spatial transformer modules (2023-08-22),
10. 11715009 - Training neural networks using synthetic gradients (2023-08-01),
11. 11627165 - Multi-agent reinforcement learning with matchmaking policies (2023-04-11),
12. 11604985 - Population based training of neural networks (2023-03-14),
13. 10956820 - Reinforcement learning with auxiliary tasks (2021-03-23),
14. 10872293 - Deep reinforcement learning with fast updating recurrent neural networks and slow updating recurrent neural networks (2020-12-22),
15. 10748029 - Spatial transformer modules (2020-08-18),

Title: **Maxwell Elliot Jaderberg: A Pioneer in Neural Network Innovations**

Introduction

Maxwell Elliot Jaderberg is a prominent inventor based in London, GB. With an impressive portfolio of 16 patents, Jaderberg has made significant contributions to the field of artificial intelligence and neural networks. His innovative work not only showcases his expertise but also advances the capabilities of machine learning technologies.

Latest Patents

Among his latest patents, Jaderberg has developed groundbreaking systems such as "Gated Attention Neural Networks" and "Population Based Training of Neural Networks." The first patent describes a system that employs an attention neural network designed to process input sequences and generate outputs through a series of intricate mechanisms, including attention and gating. This innovation marks a significant improvement in how neural networks can focus on pertinent information, enhancing their learning efficiency.

His second patent, "Population Based Training of Neural Networks," introduces methods for optimizing neural network training through the evaluation of multiple candidate networks. This approach allows for better adaptation of network parameters and hyperparameters, thereby improving the overall performance of neural networks on specific tasks. These patents reflect Jaderberg's commitment to pushing the boundaries of neural network technology.

Career Highlights

Throughout his career, Maxwell Jaderberg has been associated with DeepMind Technologies Limited, a leading company in the field of artificial intelligence research. His dedication to advancing machine learning has paved the way for various applications in AI, showcasing his role as a key innovator in the industry.

Collaborations

Jaderberg collaborates with esteemed colleagues in his field, including Wojciech Czarnecki and Koray Kavukcuoglu. These partnerships highlight the collective effort in the research and development of advanced neural network techniques, contributing to significant breakthroughs in machine learning.

Conclusion

Maxwell Elliot Jaderberg stands out not only for his numerous patents but also for his unwavering dedication to innovation in the field of artificial intelligence. His work at DeepMind and collaborative spirit with fellow inventors illustrate his influence on modern neural network research. As technology continues to evolve, the impact of Jaderberg’s contributions will likely resonate throughout the industry for years to come.

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