Jack William Rae

USPTO Granted Patents = 13 (Patent Applications = 5)

CIPO Patents = 1 (Patent Applications = 1)

EPO Patents = 6 (Patent Applications = 11)

Average Co-Inventor Count = 4.8

ph-index = 1

Forward Citations = 4(Granted Patents)

Company Filing History:

10 out of 308

Deepmind Technologies Limited

Years Active: 2020-2025

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13 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12505346 - Autoregressively generating sequences of data elements defining actions to be performed by an agent (2025-12-23),

2. 12443851 - Augmenting attention-based neural networks to selectively attend to past inputs (2025-10-14),

3. 12353976 - Gated attention neural networks (2025-07-08),

4. 12277487 - Energy-based associative memory neural networks (2025-04-14),

5. 12242947 - Machine learning systems with memory based parameter adaptation for learning fast and slower (2025-03-04),

6. 12033055 - Gated attention neural networks (2024-07-09),

7. 11983617 - Scalable and compressive neural network data storage system (2024-05-14),

8. 11836596 - Neural networks with relational memory (2023-12-05),

9. 11829884 - Augmenting attentioned-based neural networks to selectively attend to past inputs (2023-11-28),

10. 11302446 - Prediction of future adverse health events using neural networks by pre-processing input sequences to include presence features (2022-04-12),

11. 11151443 - Augmenting neural networks with sparsely-accessed external memory (2021-10-19),

12. 10853725 - Neural networks with relational memory (2020-12-01),

13. 10846588 - Scalable and compressive neural network data storage system (2020-11-24),

Title: Innovations of Jack William Rae: A Pioneer in Neural Networks

Introduction: Jack William Rae, based in London, GB, is a distinguished inventor known for his substantial contributions to the field of neural networks. With a remarkable portfolio of 11 patents, Rae has made significant advancements that are shaping the future of artificial intelligence.

Latest Patents: Among his most recent innovations are two notable patents. The first, "Gated Attention Neural Networks," describes a system that utilizes an attention neural network designed to process input sequences and generate outputs. This innovative approach includes an attention block that integrates a gating mechanism, enhancing the capability to manage complex data inputs. The second patent, "Energy-Based Associative Memory Neural Networks," presents methods and systems for implementing associative memory using a neural network. This system is adept at processing input to generate outputs that correspond to associated energies, showcasing Rae's pioneering work in memory retrieval processes within artificial intelligence.

Career Highlights: Throughout his career, Jack William Rae has worked with prominent organizations such as DeepMind Technologies Limited and Google Inc. His experience in these esteemed companies has allowed him to hone his skills and contribute to groundbreaking advancements in technology. Rae's work focuses on enhancing neural computation, positioning him as a leading figure in artificial intelligence innovation.

Collaborations: Rae has collaborated with several notable individuals in the field, including Timothy Paul Lillicrap and Siddhant Jayakumar. These partnerships have facilitated a collaborative environment that fosters innovative solutions and further advancements in artificial intelligence.

Conclusion: Jack William Rae's contributions to the field of neural networks and artificial intelligence are undeniable. With a strong foundation of patents and collaborations with leading figures in the industry, Rae continues to push the boundaries of innovation. His work not only showcases his expertise but also inspires future generations of inventors and researchers dedicated to advancing technology.

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