For a long time, artificial intelligence has been a "super brain" hidden behind screens, capable of generating complex code in seconds, but unable to deliver a cup of hot coffee or tighten a loose screw. Although traditional robots are tireless on industrial assembly lines, they can only repeat their work within strictly set program ranges, and once the environment changes slightly, they are helpless. The recently held 3rd National Artificial Intelligence Application Scenario Innovation Challenge 2025 has shown us the latest possibilities of artificial intelligence and robots - in the field of industrial manufacturing, "flexible assembly intelligent robots" have the ability to "hand eye cooperation" similar to humans, and can complete complex tasks in the slightest. This integration of core technologies such as multimodal cross scale perception, task level autonomous planning, and robust motion control not only improves efficiency, but also enables the manufacturing industry to achieve flexible intelligent production. In the vast ocean, the "Intelligent Amphibious Unmanned Transportation System" conquers storms and waves, achieving all-weather, all terrain, and fully autonomous operations, providing an efficient and low-cost new operation and maintenance model for civilian offshore wind farms. In the field of healthcare, the "new generation neural current feedback rehabilitation robot control system" exudes the warmth of technology. Embodied intelligence is no longer just cold steel, it can accurately perceive patients' brain activity, provide personalized rehabilitation training, and solve the problem of medical resource scarcity in an aging society. Among these application achievements, artificial intelligence models endow robots with a "brain", while embodied intelligence endows robots with a "cerebellum" and "limbs", enabling them to learn to think and act like humans. As a result, artificial intelligence has gained a sense of "physicality", allowing agents to interact with the physical environment and form a closed loop of "perception, cognition, decision-making, and action". Robots have become actors with common sense and reasoning abilities. They can "understand" whether a fragile piece of glass or a hard steel plate is in front of them, and can "understand" imprecise instructions given by humans using natural language. Based on their understanding of physical laws, they can autonomously generate action sequences. This leap from pre programming to autonomous learning is a crucial step for artificial intelligence to move from virtual space to physical reality. Through breakthroughs in hard technology and scenario based implementation, more and more embodied intelligent robots are integrating into production and life in diverse intelligent terminal forms, empowering various industries. This technological pearl, hailed as the "third wave" of artificial intelligence, is accelerating the breaking through of laboratory walls and becoming a concrete case for developing new quality productivity. As a carrier of deep integration between the digital economy and the real economy, the enormous potential unleashed by the embodied intelligent robot industry is no longer a fantasy in science fiction, but an ongoing industrial transformation. This type of practice vividly illustrates that "AI+" is not a simple combination of technology, but can transform computing power into productivity that originally required human physical and intellectual collaboration through embodied intelligence. Embodied intelligent robots enable artificial intelligence to achieve a leap from virtual algorithms to physical intelligence, which can upgrade traditional manufacturing systems and give rise to a new robot manufacturing industry, becoming a new engine for economic growth. Embodied intelligence involves multiple disciplines such as materials science, mechanical engineering, sensors, and artificial intelligence algorithms, and its implementation difficulty far exceeds pure software applications. Therefore, focusing on application scenarios and developing embodied intelligence is particularly crucial - cutting-edge algorithms in universities need to find the soil for implementation, mature technologies of specialized and new "little giants" need to find broader markets, and cities with strong manufacturing foundations should present real scenarios and policies to accelerate technology transformation in the form of "unveiling and leading". The maturity of technology requires the refinement of practical scenarios, and the prosperity of industries cannot be separated from the nourishment of ecology. At present, in order to develop embodied intelligence, we need more close coupling of "government, industry, academia, research, and application" to form fertile soil for cultivating new quality productivity, enabling scientists to step out of the ivory tower, entrepreneurs to see new trends, and investors to find hard technology. The steam engine extends human physical fitness, the computer extends human intelligence, embodied intelligence means a new era of "human-machine symbiosis" - robots are no longer cold machines, but capable partners in production and life. The exploration of embodied intelligence is not just a technological long march, but also a profound practice of utilizing technology to benefit humanity. (New Society)