Explores safe automation challenges for intelligent systems, focusing on self-driving cars and proposing solutions based on system dynamics and filters.
Explores analog network coding for wireless imaging in challenging conditions, showcasing its potential in human pose reconstruction and self-driving cars.
Explores the significance of innovation in research, innovation, and business, emphasizing the multiplier effect of innovation and the future of disruptive technologies.
Explores uncertainty quantification and label error detection in deep learning for semantic segmentation, focusing on challenges and methods for error detection.
Presents an all-analog photoelectronic chip for high-speed vision tasks, addressing challenges in classical computation and proposing a hybrid optical-electrical framework.