Rebuilding one of the heritage architectural masterpieces of the world, exactly as it was before, and that too within a matter of years and months, would have been impossible without Data Science and AI. Paris’s great Cathedral of Notre Dame was almost razed to the ground by a frightening fire recently. Donors have been lavish with financial help, but the fact that the plan for rebuilding is ready so quickly is completely due to AI and Data Science. Some of the most advanced technologies have been brought together in this plan to ensure that the quality and accuracy of the project is fully maintained. How ai and data science can help build lost treasures is the subject of our article here.
AI in Architectural Design
The advent of AI has completely revolutionized modern Architecture. Artificial Intelligence has completely disrupted modern industry, and Architecture is no exception. Vast amounts of data and virtual images can turn the research and planning stage of a project on its head. Design, Implementation and Testing can be done faster than ever possible humanly. This allows Architects ample time to be creative, and think out of the box. No wonder then that AI is set to become an US$100 Billion market by 2025.
Advanced AI Skills
The CAD (Computer Aided Design) systems used by Architects are being rapidly extended and improved by Artificial intelligence. Intelligent Agents, such as probabilistic models, knowledge-based systems, neural networks, and multi-layer data abstractions are being deployed to handle vast volumes of data at lightning speed. Jobs in Artificial intelligence are in the highest demand, creating far more jobs than are eliminated due to AI. It has been estimated that by 2020, while 1.8 million jobs may be lost through AI-related automation, 2.3 million new jobs will have been added to replace the jobs lost. At the same time, the skill levels have jumped by 4.5 times that previously in 2013, due to application of AI-based systems and their handling.
Scalability
The esoteric and recent fields of Data Science and Big Data have taken over the reins of fast progress in the world of modern business and technology. Data is utilized by the professionals at a scale, as demanded by the new branches of knowledge. AI is now part and parcel of the job description of 75% of Data Scientists everywhere. For advanced Architectural Design, Parametric Design is used to test out various scenarios to create multiple design outputs, and develop forms and structures that would otherwise have been impossible. First a design output is designated, then constraints and parameters are set, the necessary data is applied, and finally multiple designs are Iterated to produce the final option/s. Platforms such as R, Python, Hadoop, SAS and other extremely powerful tools are used to implement data science concepts for Architecture using AI. Concepts such as hypothesis testing, visualization, data exploration and predictive analysis are used with AI-driven management systems to produce a unique Architectural Design for the Project.
And this is how ai and data science can help build lost treasures.
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Artificial Intelligence Notes 