Today, let's talk about 41 kinds of new materials created in 17 days, what new inspiration does AI give to human beings?Just recently, an article titled "An Autonomous Laboratory for Accelerating the Synthesis of Novel Materials" was published in the authoritative scientific journal Nature, which attracted a lot of attention.
After a careful look, I summarized the core point of this article, which is to establish a laboratory A-Lab where AI guides robots to manufacture new materials, and then uses advanced automation technology and machine Xi algorithms to independently carry out experimental design and material synthesis, thereby greatly improving the research and development speed of new materials. 
FigDerived from nature
It is worth mentioning that in the 17-day test operation task, A-Lab successfully synthesized 41 of the 58 kinds of ** materials, with a success rate of 71%, and an average of more than 2 new materials per day. What is this concept?To put it simply, it is equivalent to completing the work of a doctoral student for decades. It is important to know that it often takes months or even years of calculations and experiments for human researchers to complete the synthesis of a new material. You see, the discovery and synthesis of new materials seems to have ushered in the revolution of artificial intelligence. As the cornerstone and forerunner of a new round of scientific and technological revolution and industrial transformation, new materials have a wide range of applications. Through deep Xi, machine Xi, and big data analysis techniques, AI has been able to automate a range of complex tasks, from designing experimental protocols and screening experimental data to optimizing material synthesis pathways and properties. For example, researchers at the University of Liverpool in the United Kingdom used artificial intelligence technology to independently design a chemical reaction route in only 8 days, completed 688 experiments, and successfully found a high-efficiency catalyst to improve the photocatalytic performance of polymers. Another example is a company in the United States that has developed a new type of 3D printing material manufacturing equipment using artificial intelligence technology. The equipment can automatically synthesize and produce a variety of new 3D printing materials through deep Xi and computer vision technology, which significantly improves production efficiency and product quality. And in the field of construction, AI has also shown amazing strength. According to the latest report of the QYCoD research team, the "Global AI Market in the Construction Field Report 2023-2029" showsThe global AI market in the construction sector is expected to reach $7.7 billion in 2029, with a CAGR of 27 in the next few years0%。Among them, application scenarios such as smart homes, smart buildings, and smart cities will become the main market areas. At the same time, with the growing demand for intelligent life, the application prospect of AI in the field of building technology will also be broader. Next, let's focus on it. 
FigOriginating from technology**First of all, it must be mentioned that AI has excelled in architectural design. For example, a study conducted by Stanford University and MIT used AI algorithms to automatically generate some architectural designs. These schemes are not only aesthetically comparable to the work of human designers, but are also optimized in terms of energy efficiency and structural stability. Secondly, AI has also achieved certain results in participating in intelligent building management. Intelligent building management systems use AI and IoT technologies to monitor and control a building's energy consumption, safety, and comfort in real time, improving the operational efficiency of the building. According to a report by market research firm Grand View Research**, the smart building management market will be worth $142 billion by 2025. One of the drivers for the growth of this market is the adoption of AI technology. In addition, the application of AI in smart construction and robotics has brought great changes to the construction industry. According to IDC, the global construction and construction robots market is expected to grow at a CAGR of 114%。Automated construction robots, on the other hand, can significantly improve work efficiency and safety when performing repetitive and dangerous tasks. For example, the Museum of Contemporary Art and Planning Exhibition Hall (MOCAPE), a new landmark in Shenzhen designed by Austrian architect Wolf D Prix, has been built for the first time using BIM+ artificial intelligence. The "cloud" shape of the building is expected to take 8 months if 160 workers are required according to the traditional process, but it only takes 8 workers 3 months to complete the construction with the use of artificial intelligence machines. Finally, the application of AI in data analysis and ** provides more accurate decision support for the construction industry. AI can analyze historical and real-time data to provide recommendations and optimization recommendations on construction project costs, schedules, and risks. According to McKinsey's research, data-driven construction project management can improve productivity and project success. Finally, to summarize today's topic, 41 kinds of new materials have been created in 17 days, what new inspiration has AI given to human beings?In my opinion, AI has permeated every aspect of the construction tech field, from design to construction management to data analytics. As a powerful tool, AI will continue to bring new breakthroughs and innovations to materials research. Human scientists, on the other hand, need to continuously enhance their professional quality and innovation capabilities, and work with AI to promote the progress of materials science. If someone close to you is interested in this topic, I recommend that you share today's program with him. Unless otherwise indicated, the information is on the Internet, the copyright belongs to the original author, and the articles in this column are the author's personal views and do not represent the views and positions of the platform.