首页|Researcher at Polytechnic University Milan Zeroes in on Artificial Intelligence (Artificial Intelligence-Powered Computational Strategies in Selecting and Augme nting Data for Early Design of Tall Buildings with Outer Diagrids)
Researcher at Polytechnic University Milan Zeroes in on Artificial Intelligence (Artificial Intelligence-Powered Computational Strategies in Selecting and Augme nting Data for Early Design of Tall Buildings with Outer Diagrids)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Milan, Italy, by NewsRx correspondents, research stated, “In the realm of architectural computing , this study explores the integration of parametric design with machine learning algorithms to advance the early design phase of tall buildings with outer diagr id systems.” Our news editors obtained a quote from the research from Polytechnic University Milan: “The success of such an endeavor relies heavily on a data-driven and arti ficial intelligence-enhanced workflow aimed at identifying key architectural and structural variables through a feature/response selection process within a supe rvised machine learning framework. By augmenting an initial dataset, which was n otably limited, through four distinct techniques-namely Gaussian copula, conditi onal generative adversarial networks, Gaussian copula generative adversarial net work, and variational autoencoder-this study demonstrates a methodical approach to data enhancement in architectural design. The results indicate a slight prefe rence for the Gaussian copula method, attributed to its less complex hyperparame ter tuning process.”
Polytechnic University MilanMilanIta lyEuropeArtificial IntelligenceCyborgsEmerging TechnologiesMachine Lea rning
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