Explores safe automation challenges for intelligent systems, focusing on self-driving cars and proposing solutions based on system dynamics and filters.
Explores the significance of innovation in research, innovation, and business, emphasizing the multiplier effect of innovation and the future of disruptive technologies.
Explores analog network coding for wireless imaging in challenging conditions, showcasing its potential in human pose reconstruction and self-driving cars.
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.
Covers the basics of reinforcement learning, including Markov Decision Processes and policy gradient methods, and explores real-world applications and recent advances.
