London, United Kingdom

Benigno Uria-Martínez

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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5 patents (USPTO):Explore Patents

Title: The Innovative Mind of Benigno Uria-Martínez

Introduction

Benigno Uria-Martínez is a prominent inventor based in London, GB. He has made significant contributions to the field of artificial intelligence and machine learning, holding a total of 5 patents. His work focuses on developing advanced methods for agents interacting with their environments, showcasing his expertise in neural networks and episodic memory.

Latest Patents

One of Uria-Martínez's latest patents is titled "Neural episodic control." This method involves maintaining episodic memory data for various actions and processing current observations to generate key embeddings. The system determines the nearest key embeddings to select the most appropriate action for an agent based on Q values. Another notable patent is "Performing navigation tasks using grid codes." This invention includes methods and systems for selecting actions based on grid cell representations and observations of the environment, utilizing a grid cell neural network and an action selection neural network.

Career Highlights

Benigno Uria-Martínez is currently employed at DeepMind Technologies Limited, a leading company in artificial intelligence research. His work at DeepMind has positioned him at the forefront of innovation in the field, contributing to groundbreaking advancements in machine learning and agent-based systems.

Collaborations

Throughout his career, Uria-Martínez has collaborated with notable colleagues, including Alexander Pritzel and Charles Blundell. These collaborations have further enriched his research and development efforts, leading to impactful innovations in artificial intelligence.

Conclusion

Benigno Uria-Martínez is a distinguished inventor whose work in artificial intelligence continues to shape the future of technology. His patents reflect a deep understanding of neural networks and their applications in real-world scenarios.

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