Qimiaoyuan Launches Qimiao Assistant, an AI Digital Human Video Creation Platform by Outing Inquiry


According to reports from Tech Star, Baidu recently launched an AI digital person social app named "Wen Xiaoyan." This app is based on advanced Wenxin Large Model technology and allows users to communicate and interact in real-time with AI virtual characters, establishing emotional connections. The Wen Xiaoyan App uses simulated digital person images to provide users with a more realistic and natural interactive experience. Upon entering the Wen Xiaoyan App, users can scroll up and down within t
Recently, an AI digital human of CCTV journalist Wang Bingbing created by SenseTime's "RuYing AI Video Generation Platform" made its debut at the "2024 China AI Summit". AI Bingbing's performance on stage was both professional and natural, thanks to SenseTime's "RiRiXin SenseNova" large model technology, which allows her to fluently use multiple languages such as Turkish, Russian, and Spanish, showcasing the remarkable achievements of AI technology in language capabilities.SenseTime's RuYing pla
The AI Digital Human live streaming business has reduced live streaming costs to only thousands of yuan per month, with performance data surpassing that of human hosts. Qianyu Intelligent has signed brand cooperation agreements for AI Digital Human live streaming with multiple brand representatives. The market size of China's AI Digital Human industry continues to grow, presenting a broad market outlook.
Google DeepMind CEO Hassabis predicts that Artificial General Intelligence (AGI) could appear as early as 2029-2030, with key breakthroughs potentially achieved within the next three years. He points out that increased investment by tech companies is accelerating the maturity of core technologies such as multimodal understanding, autonomous decision-making, and AI agents.
The Variable Robot team released the world's first embodied intelligence world model based on event-level prediction, WALL-WM, breaking the limitations of traditional time-frame-based learning. It shifts the prediction unit to semantic events, enhancing the robot's ability to understand and perform tasks, marking a new stage in the industry.