Wang Xingxing, once again flooded the screen!

According to the "Wuhan Release", on May 16, the closing ceremony of the 2025 World Digital Education Conference was held in Wuhan. Wang Xingxing, founder of Yushu Technology, was the first representative of Chinese and foreign speeches to come to the stage to speak. Wang Xingxing introduced that Yushu Technology will focus on three major directions:

First, we will focus on building an open platform, promote the open source co-construction of AI intelligence and educational resources, and build a global education technology ecosystem;

The second is to focus on building interdisciplinary laboratories, jointly develop innovative courses that integrate AI with universities and enterprises, continue to deepen the training of young people's AI, and stimulate the scientific and technological innovation capabilities of the younger generation through activities such as programming basic maker competitions;

The third is to create an open and innovative educational future together. Artificial intelligence is not only a tool, but also a catalyst for educational change.

Every time Wang Xingxing appears, it seems that it will drive the robot concept to rise sharply. Today, robot concept stocks rose sharply again. The robot sector has hit the daily limit or increased by more than 10% at one time, and Greebo and Haoen Automobile and Electricity hit the daily limit by 20%.

In addition, Tesla CEO Elon Musk predicted at the Saudi-US Investment Forum held in Riyadh that the number of humanoid robots will eventually reach tens of billions.

Wang Xingxing speaks out in Wuhan

Wang Xingxing said that at present, the vigorous development of artificial intelligence technology is deeply affecting the pattern of educational development. As an entrepreneur who draws growth power from education and now devotes himself to technological innovation, he deeply feels that when the wave of artificial intelligence is surging, education is ushering in unprecedented opportunities for change.

Artificial intelligence is changing the generation and dissemination of knowledge, providing every learner with a customized learning experience, making the acquisition of knowledge more efficient and personalized. This technology is also changing the paradigm of scientific discovery and research, helping researchers process complex data sets, speeding up the scientific process from validation to hypothesis, and promoting interdisciplinary innovation. At the same time, artificial intelligence is also changing the evaluation model of educational organizations, no longer focusing on students' test scores alone, but evaluating students' creativity, critical thinking and other abilities in multiple dimensions to promote students' all-round development.

Wang Xingxing said that nowadays, the underlying logic of educational change is from knowledge transmission to cognitive empowerment. In the past 10 years, AI technology has experienced major breakthroughs from basic recognition intelligence to cognitive intelligence. As big models gradually master human language understanding ability, the essence of education is ushering in a new definition - the traditional education model presents the one-way transmission of teachers, textbooks, and exams, and in the AI ​​era, education needs to be transformed into a collaborative evolution of the trinity of individuals, tools, and environments. Research shows that artificial intelligence has shown outstanding advantages in areas such as personalized learning, intelligent tutoring, adaptive learning, and immersive experience.

"Educational robots, humanoid robot products, etc. developed by Yushu Technology have entered nearly a thousand universities around the world, and have produced more than 3,000 excellent technical papers. It is not a simple electronic teaching aid, but through advanced multimodal interaction technology, it promotes students' transformation from passive education to active knowledge transfer to active knowledge construction." Wang Xingxing said.

Wang Xingxing believes that in the process of AI empowering education, we must also be truly aware of two key challenges: one is the normative of data privacy and ethics, and the other is the transformation and upgrading of teacher roles. He said that educational data is highly sensitive, which requires us to establish a more complete privacy and integrity protection mechanism, while strictly preventing the implicit impact of algorithmic bias on educational equity. At the same time, AI technology is by no means a replacement for teachers, but a powerful empowerment tool. "We need to systematically help teachers achieve the transformation from knowledge transferors to learning guides. It is recommended to prepare a manual for the essential literacy of artificial intelligence for teachers in primary and secondary schools and colleges, develop training manuals, build a teacher intelligence research center, and carry out artificial intelligence training manual training for teachers and education managers."

Wang Xingxing introduced that Yushu Technology will focus on three major directions: First, we will focus on building an open platform construction, promote the open source co-construction of AI intelligence and educational resources, and build a global education technology ecosystem; Second, we will focus on building interdisciplinary laboratories, jointly develop innovative courses that integrate AI with universities and enterprises, continue to deepen the training of young people's AI, and stimulate the technological innovation capabilities of the younger generation through activities such as the programming basic maker competition; Third, we will create an open and innovative educational future together. Artificial intelligence is not only a tool, but also a catalyst for educational change. "We always believe that true education upgrade will surely be the perfect integration of skill innovation, humanistic care and institutional improvement. Yushu is willing to work with educators around the world to embrace technological change with an open and inclusive mind, cultivate talents with an inclusive mind, and work together to create a new starting point for digital education." Wang Xingxing said.

The robot sector rose again

Today, the robot sector has strengthened significantly again, and the entire sector has seen a large-scale daily limit.

Many Hong Kong stocks also rose by many stocks. The fourth paradigm once rose by more than 8%, Ubishop once rose by nearly 8%, and Sagito once rose by nearly 4%. Dechang Electric Holdings once rose by more than 3%.

In addition, Musk said at the Saudi-US investment forum held in Riyadh that he predicted that the number of humanoid robots will eventually reach tens of billions, thereby completely changing the global economy. With automation of this scale, productivity could soar and usher in what he calls “universal high income”, when goods and services will become so abundant that “no one wants anything.”

Shenwan Hongyuan released a research report and believes that the hardware maturity of humanoid robots is currently higher than that of software, and software is the key to the commercialization of humanoid robots, but the research is relatively blank. At present, the industry has not yet reached a unified consensus on the "big and small brain" of humanoid robots, and is usually artificially distinguished into the brain and the cerebellum according to its function. The brain is responsible for performing complex algorithms, data processing, environmental perception and other task planning and decision-making execution; the cerebellum is responsible for the robot's motion control, receiving instructions from the upper layer and converting them into specific action instructions. The hardware is mainly composed of SoC chips, including CPU, GPU, NPU, etc., as well as processors, storage units, communication interfaces, input and output interfaces, etc.; the software part includes the underlying operating system, middleware and upper software. Among them, chips are the core of the controller. Currently, most companies adopt NVIDIA solutions; the operating system provides underlying software support; and controller integrators undertake integrated functions and provide stable and reliable products. Software is the focus of investment in the next commercialization of robots, and the recent marginal changes in Tesla Optimus are also mainly focused on the algorithm level. The opportunities in the related industrial chain may be worth paying attention to.

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