Core Insights - The article emphasizes the integration of art and science to enhance AI's understanding of the world, proposing that AI should possess a "soul" of perception through structured sensory data [1][2][3] - It highlights the transformative potential of sensory structured data, likening its importance to that of oil in the modern economy, and its applications across various fields such as autonomous driving, healthcare, and cultural heritage preservation [2][8] - The article outlines the need for AI to evolve from being a "probability guessing expert" to a "thinker that understands the essence of the world" through the fusion of artistic and scientific approaches [2][12] Sensory Structured Data - Sensory structured data is described as a "core mineral" comparable to oil, essential for AI's evolution and understanding of the physical world [2][8] - The article identifies six core dimensions of sensory perception that AI must develop: vision, hearing, touch, smell, taste, and proprioception, which collectively enhance AI's ability to interpret and interact with reality [4][5][6] - The advancements in these sensory dimensions allow AI to create a "holographic perception" of the world, enabling it to understand complex interactions and physical laws [3][4][5] Technological Challenges - The article outlines three critical technological challenges that must be addressed for sensory structured data to be effectively utilized: upgrading perception devices, innovating computational architecture, and reconstructing knowledge systems [10][11] - Upgrading perception devices involves enhancing AI's ability to capture detailed sensory information, while computational architecture focuses on efficiently processing vast amounts of data [10][11] - The reconstruction of knowledge systems aims to ensure that data can be effectively utilized, allowing AI to learn and adapt from its experiences [10][11] Future Implications - The article predicts that the advancements in sensory structured data will significantly impact various sectors, including safer autonomous driving, improved medical training, and the digital preservation of cultural heritage [12][13] - It suggests that the evolution of AI will redefine intelligence, moving from mere data processing to a deeper understanding of the physical world, ultimately reducing instances of AI "hallucinations" [12][13] - The transformation is expected to occur in three phases: embodiment of perception, contextual understanding of cognition, and autonomous decision-making [13]