Researchers from the University of Washington and Microsoft have introduced noise-canceling headphone technology that incorporates advanced machine learning algorithms to achieve semantic hearing capabilities. The primary goal of this technology is to allow wearers to selectively listen to desired sounds while eliminating other auditory distractions, addressing the limitations of traditional headphones in real-time intelligence. The innovative prototype employs a classification system to process sounds, enabling users to personalize their auditory experience by selecting sounds of interest, utilizing neural networks on their smartphones for quick sound processing. A series of experiments demonstrate its applications in various environments, including the ability to eliminate vacuum cleaner noises during conversation.