Company Filing History:
Years Active: 2019-2023
Title: The Innovative Contributions of Ronan Stéfan Collobert
Introduction
Ronan Stéfan Collobert is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the fields of machine learning and deep learning, holding a total of 5 patents. His work focuses on advancing technologies that enhance speech analysis and object recognition.
Latest Patents
One of his latest patents is titled "Generating representations of speech signals using self-supervised learning." This invention outlines a method for generating audio segments from speech signals and creating latent representations that correspond to these segments. The process involves using a machine-learning model to generate contextualized representations for speech analysis tasks. Another notable patent is "Generating refined object proposals using deep learning models." This patent describes a method for processing image patches using convolutional neural networks to classify pixels and identify objects within images.
Career Highlights
Ronan has worked with leading technology companies, including Facebook, Inc. and Meta Platforms, Inc. His experience in these organizations has allowed him to collaborate on cutting-edge projects that push the boundaries of artificial intelligence and machine learning.
Collaborations
Ronan has collaborated with notable professionals in his field, including Pedro Henrique Oliveira Pinheiro and Piotr Dollar. These collaborations have contributed to the advancement of innovative technologies in machine learning.
Conclusion
Ronan Stéfan Collobert's contributions to the fields of speech analysis and object recognition through his patents demonstrate his commitment to innovation. His work continues to influence the development of advanced technologies in artificial intelligence.