We prove that less information is exposed in CGD compared to that of traditional FL.
Stereo matching is a critical task for robot navigation and autonomous vehicles, providing the depth estimation of surroundings.
In our past few years' of commercial deployment experiences, we identify localization as a critical task in autonomous machine applications, and a great acceleration target.
We develop and commercialize autonomous machines, such as logistic robots and self-driving cars, around the globe.
Self-Driving Cars Hardware Architecture
In this paper, a feature extraction-based method for grading cataract severity using retinal images is proposed.