London, United Kingdom

Valentin Clement Dalibard

USPTO Granted Patents = 4 

 

Average Co-Inventor Count = 4.6

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):Explore Patents

Title: **Valentin Clement Dalibard: Innovator in Neural Network Training**

Introduction

Valentin Clement Dalibard is a prominent inventor based in London, GB, known for his significant contributions to the field of artificial intelligence and machine learning. With a total of four patents to his name, Dalibard's work primarily focuses on neural network training methodologies that enhance the performance and efficiency of machine learning algorithms.

Latest Patents

Among his latest inventions, Dalibard is credited with developing innovative methods, systems, and apparatuses for the population-based training of neural networks. This includes computer programs encoded on computer storage media designed to optimize the training of neural networks. His methodology entails maintaining multiple candidate neural networks, each characterized by specific values of network parameters and hyperparameters, alongside a quality measure assessing their performance on designated tasks. This iterative process allows for the continual refinement and enhancement of neural network capabilities.

Career Highlights

Valentin Dalibard is currently associated with DeepMind Technologies Limited, a leader in the field of artificial intelligence. His work is instrumental in advancing deep learning technologies and pushing the boundaries of what neural networks can achieve.

Collaborations

Throughout his career, Dalibard has collaborated with notable professionals in the industry, including Maxwell Elliot Jaderberg and Wojciech Czarnecki. These collaborations have fostered an environment of innovation and creativity, leading to groundbreaking advancements in neural network training techniques.

Conclusion

Valentin Clement Dalibard stands out as a key figure in the realm of artificial intelligence, with his inventive approach to neural network training exemplifying the spirit of innovation. His patents not only contribute to academic research but also have practical implications that could transform various industries reliant on AI technology.

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