London, United Kingdom

Edward Thomas Grefenstette


 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2019-2024

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5 patents (USPTO):Explore Patents

Title: The Innovations of Edward Thomas Grefenstette

Introduction

Edward Thomas Grefenstette is a notable inventor based in London, GB. With a total of five patents to his name, he has made significant contributions to the field of artificial intelligence, particularly in neural networks. His work emphasizes the importance of augmenting traditional neural network architectures to enhance their capabilities.

Latest Patents

One of Edward’s latest patents is titled "Augmented Recurrent Neural Network with External Memory." This invention encompasses methods, systems, and apparatuses, including computer programs encoded on computer storage media, designed for integrating external memory with neural networks. The methodology involves providing an output derived from the neural network at a specific time step as the system output for that time step. It also includes maintaining a current state of the external memory, determining memory state parameters, updating the external memory state, and utilizing this data to enhance the neural network’s input for subsequent time steps.

Career Highlights

Edward Grefenstette is currently affiliated with DeepMind Technologies Limited, a leading company in the artificial intelligence sector. His innovative research and patents contribute to advancing the understanding and functionalities of machine learning technologies.

Collaborations

Throughout his career, Edward has collaborated with notable colleagues such as Mustafa Suleyman and Philip Blunsom. These partnerships have enabled the sharing of insights and expertise, further enriching his work in artificial intelligence.

Conclusion

In conclusion, Edward Thomas Grefenstette stands out as a significant figure in the realm of innovation within artificial intelligence. His ongoing research and patented inventions continue to push the boundaries of technology, showcasing the vital role of inventors in shaping the future of machine learning.

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