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AI for Science (AI4S) refers to the scientific research on artificial intelligence technology driving, and is important to explore the unknown scientific fields. The AI4S concept was first proposed in 2018 by an academician of the Chinese Academy of Sciences and a professor at Beijing University of Science. AI4S has opened up a new scientific paradigm that applies artificial intelligence to learn profound scientific principles to create scientific models to solve those real problems that have been considered unsolvable. In 2021, with the British company DeepMind, AlphaFoSugar babyld), AI4S has become the focus of global attention. In the past three years, the emergence of a large model represented by ChatGPTSugar baby has promoted the transformation of artificial intelligence from scientific research methods and scientific research technology to the actual application of industry.
(Source: WeChat public account “Motivational Reviews·Chief Dynamic View” Author: Pu Tianxi Wang Xinying Zhao Qi)
A New Paradigm for Dynamic Science Research
AI4S has been first proposed in 2018. It has led to extensive discussions in the academic community and institution. Its internal content is now in two aspects: as a scientific paradigmSugar baby. The transformer of Sugar baby has promoted new discoveries of scientific principles; as an accelerator of scientific practice, it has accelerated the transformation of theory to practice and promoted the application of scientific research results.
The scientific basics of AI4S are worthy of in-depth thinking. Some problems in scientific research cannot be solved by applying basic principles. They rely on multiple independent variables, with too many bandwidths (unrestrictedness), so they should be <a hreThe calculation volume of the Sugar baby is increasing exponentially, which is a "dimensional disaster". The existing data analysis is no longer suitable, and can only be used to try to solve the problem with a very rough approximation method.
The success of artificial intelligence technology represented by in-depth learning on high-tech problems (image classification, human face innate, chess game, protein quality prediction, etc.) made her only choose option A. To put it bluntly, it is more useful to approach high-dimensional functions, which helps solve problems caused by “dimension disaster”, which is also the development of AI4S.
AI4S uses artificial intelligence technology to guide scientific hypotheses, integrate scientific experiments and simulations, and analyze scientific data, and provides new ways and things for scientific research, promotes scientific research and accelerates innovation and breakthroughs, becoming the “fifth paradigm” of scientific research after…the implementation of experimental observation, theoretical promotion, computational simulation, and data driving. Pinay escortToday, AI4S has achieved significant research results in many fields.
AI4S introduces scientific hypothesis. It compresses the domain scientific knowledge, forms a cross-domain knowledge interactive reasoning library, guides scientific research to discover problems and puts forward hypotheses, and assists in scientific research design and analysis. For example, Google uses the AlphaGeometry model proposed by Manila escort to train it using natural language model and billions of geometric structure data, realizing artificial intelligence geometric reasoning and evidence. The Chinese scientific and technological research team proposed the AI-Chemist model, which learned thousands of chemistry and related interdisciplinary knowledge and helped scientists apply data to complete the preparation of oxygen evolution reaction catalysts in the Martian environment, and greatly simplified the catalyst decomposition and functional optimization process.
AISugar baby4S helps scientific experiment simulation. The data drive is enhanced by mature scientific methods, and the effectiveness and consequences of the execution algorithm. For example, Hua is based on the “Plate Ancient” atmosphere model, and exceeds the traditional numerical forecasting method in terms of medium- and long-term weather prediction accuracy and calculation effectiveness. DeepMind application enhances learning method to successfully implement magnetic holding of Tokamak deviceImportant performance, solving the problem of difficult and time-consuming design of traditional controller parameter.
AI4S assists in scientific data analysis. Conduct ordinary abstraction of scientific problems to be solved, and apply massive data to determine abstract model parameters to form fair hypotheses and predictions for unknown mechanisms. For example, DeepMind uses AlphaFold to conduct protein structure prediction, and Sugar daddy solves the pain of high cost and low efficiency in traditional experiments, which greatly promotes the development of structural biology. In addition, the GNoME proposed by DeepMind is used for new data prediction, and has found a variety of crystal structures that are stable in theory but have not yet been tested, providing rich reference for future revolutionary technologies such as energy accumulation and superconductivity.
In view of the potential ambition of artificial intelligence technology to the development of science, many authorities, companies and research and development institutions have invested in a large number of resources and promoted the fourth technical reaction. Our country has also actively promoted the special tasks in this field. The Ministry of Science and Technology and the National Natural Science Foundation of China launched the AI4S special arrangement task in the “Scientific Research and Research on Artificial Intelligence Drive” in March 2023.
Accelerate the power reaction process
With the connection of large-scale renewable power and the re-energization process of the load side, a large number of different sources, loads, and other equipment are connected to the existing power system with power electrons as the interface, so that the system is developing rapidly towards high proportion of renewable power and high proportion of power electronic equipment (i.e. “DoubleSugar babyHigh”).
The “double-high” power system has a new, double-over-difficult power learning feature. It not only has a significant increase in the number and types of equipment components, but also has a random impact on the supply side and demand side. These features form many prediction, analysis, optimization and control problems related to the system, which show “high-dimensional” characteristics. Direct modeling is extremely complicated and the mechanism is difficult to deal with, and often can only be solved through trial errors or experience.
Faced with the problems and challenges brought by “double-high” power systems, AI4S can provide a series of solutions. Through his talents in three aspects: hypothetical innate, experimental simulation and data analysis, it is the power fieldSugar daddyresearch and implementation to provide new perspectives and things.
——In terms of hypothesis, artificial intelligence technology can be used in the power field to analyze and learn historical data, and scientific hypothesis born about the future trend of the system, guiding researchers to conduct more in-depth research and analysis. In the field of power equipment research and development, american General Electric uses artificial intelligence technology to predict alloy components and promote combustion The design of high-temperature alloys for air turbines has greatly reduced the development cycle and capital of new data. In the field of Internet simulation analysis, the Chinese Academy of Electrical Sciences combines artificial intelligence technology with large-scale Internet simulation technology, and proposes large-scale Internet simulation analysis and Professor Chao. It has many technology companies. Teacher Ye has obtained artificial intelligence models and algorithms such as calculation adjustment and stable control decisions for others throughout their lives, and has been imitating the InternetSugar daddy True analysis opens up a new technical path.
——In terms of experimental simulation, the power field can apply artificial intelligence technology to help massive interdisciplinary knowledge data to achieve interspersed integration, reduce computing time in the calculation model of complex systems, and improve the accuracy of simulation model. href=”https://philippines-sugar.net/”>Pinay escort field, the Chinese Academy of Electrical Sciences applies artificial intelligence technology to comprehensively analyze multi-dimensional information such as network operation data, negative characteristics, equipment status and environmental reasons, and construct a detailed simulation model to minimize the distribution network parameters collected and expand the , state and future situations can be clearly understood, and can be used to measure, write and calculate the ability of the distribution network.
——In terms of data analysis, artificial intelligence technology can be used in the power field to perform high-dimensional complex data processing, which can help researcher analysis Analyze the structure and correlation o TC: