For Deaf people, train travel can be a gamble. On an average day, nothing goes wrong: they catch their train to their destination and carry on with their business.For Deaf people, train travel can be a gamble. On an average day, nothing goes wrong: they catch their train to their destination and carry on with their business.Hi Tech & Innovation[#item_full_content]

What if a security camera could not only capture video but understand what’s happening—distinguishing between routine activities and potentially dangerous behavior in real time? That’s the future being shaped by researchers at the University of Virginia’s School of Engineering and Applied Science with their latest breakthrough: an AI-driven intelligent video analyzer capable of detecting human actions in video footage with unprecedented precision and intelligence.What if a security camera could not only capture video but understand what’s happening—distinguishing between routine activities and potentially dangerous behavior in real time? That’s the future being shaped by researchers at the University of Virginia’s School of Engineering and Applied Science with their latest breakthrough: an AI-driven intelligent video analyzer capable of detecting human actions in video footage with unprecedented precision and intelligence.Security[#item_full_content]

In recent years, artificial intelligence (AI) and deep learning models have advanced rapidly, becoming easily accessible. This has enabled people, even those without specialized expertise, to perform various tasks with AI. Among these models, generative adversarial networks (GANs) stand out for their outstanding performance in generating new data instances with the same characteristics as the training data, making them particularly effective for generating images, music, and text.In recent years, artificial intelligence (AI) and deep learning models have advanced rapidly, becoming easily accessible. This has enabled people, even those without specialized expertise, to perform various tasks with AI. Among these models, generative adversarial networks (GANs) stand out for their outstanding performance in generating new data instances with the same characteristics as the training data, making them particularly effective for generating images, music, and text.Machine learning & AI[#item_full_content]