Amsterdam, Netherlands

Guillaume Konrad Sautiere

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.6

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):Explore Patents

Title: Innovations of Guillaume Konrad Sautiere

Introduction

Guillaume Konrad Sautiere is a notable inventor based in Amsterdam, Netherlands. He has made significant contributions to the field of video compression technology, particularly through the use of artificial neural networks. With a total of 3 patents, Sautiere's work is at the forefront of innovation in this area.

Latest Patents

Sautiere's latest patents include "Alias-free compression of content using artificial neural networks." This patent outlines techniques and apparatus for encoding content using a neural network. The method involves encoding video content into a latent space representation through an encoder implemented by a first machine learning model. A code is generated by upsampling the latent space representation of the video content, and a compressed version of the video content is produced based on a probabilistic model implemented by a second machine learning model.

Another significant patent is "Video compression using recurrent-based machine learning systems." This patent describes techniques for coding video content using recurrent-based machine learning tools. The device includes a neural network system with encoder and decoder portions. The encoder generates output data for the current time step based on input video frames and reconstructed data from previous time steps, while the decoder generates a reconstructed video frame for the current time step.

Career Highlights

Guillaume Sautiere is currently employed at Qualcomm Incorporated, a leading technology company known for its innovations in telecommunications and semiconductor technology. His work at Qualcomm allows him to apply his expertise in machine learning and video compression to develop cutting-edge solutions.

Collaborations

Sautiere collaborates with talented individuals in his field, including Taco Sebastiaan Cohen and Adam Waldemar Golinski. These collaborations enhance the innovative potential of his projects and contribute to the advancement of technology in video compression.

Conclusion

Guillaume Konrad Sautiere is a prominent inventor whose work in video compression using artificial neural networks is paving the way for future advancements in the field. His contributions through his patents and collaborations reflect his commitment to innovation and excellence.

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