Bright Picture/Vision China Bright Picture/Vision China In recent years, with the emergence of new technologies and new concepts such as artificial intelligence, machine learning, robots, UAVs, cloud computing, the Internet of Things, Big data, new generation mobile communication technology, virtual reality, digital twins, the next generation Internet, and the Metaverse, what do people look forward to again and again in the future? Unfortunately, most new concepts are dazzling when they appear, attracting capital and social attention, but their popularity also dissipates rapidly. What kind of technology can bring disruptive changes? What kind of technology has the power to dominate the "headlines" of the future world? What are the technological codes from the future world? Are there any answers to these questions that can be traced now? Although the birth of new technology is accidental, its wave like evolution suggests inevitable logic. From a historical perspective, the aforementioned new technologies are all attempting to solve the three major problems of future society: "emptiness" and "reality", "human" and "machine", and "time" and "emptiness". For example, artificial intelligence, machine learning, robots, drones, etc. pay attention to human-machine relationships; Internet of Things, blockchain, Big data, virtual reality, digital twins, new generation mobile communication technology, focusing on virtual reality interaction; The next generation of Internet and Metaverse focus on space-time pattern. In this way, it can be boldly predicted that the next new technology "darling" should be born in the search for virtual reality, human-machine, and spatiotemporal relationships. In recent years, the concept and technology of "digital intelligence" have received widespread attention from the scientific and technological community, becoming a high-frequency keyword at the forefront of technology. The reason for this is that it decodes the accessible future with extremely concise language - using data to communicate virtual and reality, allowing people and machines to share wisdom, and combining data and wisdom to empower the future. The virtual and real communication of data has become the "protagonist" of future time and space, and electronic computers have made the digitization of data possible. When the computer is working, the circuit is powered on, and each output terminal has a voltage. Through analog-to-digital conversion, the voltage level is binary: high level represents 1, low level represents 0. 0 and 1 are the "Metalanguage" of the computer virtual world. The recognition of high and low levels can realize the conversion from analog circuit to digital circuit, which makes it possible for the data carrier to change from "real" to "virtual". Binary digital codes can be physically stored on objects through factors such as magnetic pole orientation, surface roughness, and the presence or absence of light. In computers, all data such as characters or symbols can be represented by physical states, which is simple to operate and saves equipment. Electronic computers perform data processing and processing at extremely high speeds, demonstrating great data processing and storage capabilities. For example, the discipline of library, information and archives has achieved the goal of reducing the number of physical documents through the electronization of data, and has promoted the transformation of research in traditional fields to Digital transformation. The digitization of data has accelerated the resource utilization of data. Algorithms, computing power, and data are collectively referred to as the three cornerstones of the digital economy. However, due to their high resource consumption and reliance on technological development and human and financial investment, data has become the most cost-effective resource rich mine. At the same time, from a global perspective, at present, China's algorithm and computing power resource endowment is far lower than that of data resource endowment, and electronic data has the advantage of not reducing due to consumption