Location History:
- Jerusalem, IL (2019)
- Shefa-'Amr, IL (2022)
Company Filing History:
Years Active: 2019-2022
Title: Majed Jubeh: Innovator in Autonomous Driving and Image Classification
Introduction
Majed Jubeh is a prominent inventor based in Jerusalem, Israel. He has made significant contributions to the fields of autonomous driving and image classification, holding a total of three patents. His innovative work is paving the way for advancements in technology that enhance machine learning and automation.
Latest Patents
One of Majed Jubeh's latest patents is a system and method for motion planning of an autonomous driving machine. This invention involves producing a search tree that represents the current and predicted conditions of the autonomous driving machine (ADM). The method utilizes a neural network to select quality factors and expand the search tree until a terminating condition is met. This process allows for the selection of optimal actions to be applied to the ADM.
Another notable patent is a system and method for image classification. This invention links predetermined objects and categories, assigning attributes to each object. It involves storing classified images in a database and comparing unclassified images to these stored images. The system determines attributes of the unclassified images and assigns classifications based on the relationships established between categories.
Career Highlights
Majed Jubeh is currently employed at Imagry Ltd., where he continues to develop innovative solutions in his field. His work focuses on enhancing the capabilities of autonomous systems and improving image recognition technologies.
Collaborations
Throughout his career, Majed has collaborated with talented individuals such as Adham Ghazali and Sergey Ten. These collaborations have contributed to the successful development of his patents and innovations.
Conclusion
Majed Jubeh is a visionary inventor whose work in autonomous driving and image classification is making a significant impact in the technology sector. His patents reflect a commitment to advancing machine learning and automation, showcasing his expertise and innovative spirit.