Ashad Hosenbocus

Title: Ashad Hosenbocus: Innovator in Machine Learning for 3D Object Detection

Introduction

Ashad Hosenbocus is a notable inventor based in Vélizy-Villacoublay, France. He has made significant contributions to the field of machine learning, particularly in the area of 3D object detection. His innovative approach has led to the development of a unique patent that enhances the capabilities of neural networks in processing 3D point clouds.

Latest Patents

Hosenbocus holds a patent for a machine-learning method designed for 3D object detection. This computer-implemented method involves learning a neural network that encodes a super-point of a 3D point cloud into a latent vector. The process begins with obtaining a dataset of super-points, where each super-point represents a set of points from a 3D point cloud, corresponding to a part of an object. The learning process minimizes a loss that penalizes disparities between two super-points, thereby improving machine learning for 3D object detection. He has 1 patent to his name.

Career Highlights

Hosenbocus is currently employed at Dassault Systèmes, a leading company in 3D design software and solutions. His work at the company focuses on advancing technologies that leverage machine learning for enhanced object detection capabilities. His expertise in this domain has positioned him as a valuable asset to his team.

Collaborations

One of his notable coworkers is Tom Durand, with whom he collaborates on various projects related to machine learning and 3D technologies. Their combined efforts contribute to the innovative environment at Dassault Systèmes.

Conclusion

Ashad Hosenbocus is a pioneering inventor whose work in machine learning for 3D object detection is making waves in the tech industry. His contributions are not only advancing the field but also setting new standards for future innovations.