Browsing by Author "ElDin, NourN"

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    Biomimicry and Artificial Intelligence for Climate Change Mitigation
    (October university for modern sciences and Arts MSA, 2023) ElDin, NourN
    The climate change we are facing nowadays is causing notable changes and harmful impacts to the environment. Therefore, there is a crucial need for sustainable practices, and efficient solutions to the CC problems. Nature have been constantly adapting to changing environmental conditions. Throughout history, nature have shown successful examples that we should learn from. “Biomimicry” is concerned with emulating nature models and systems. The term “biomimicry” comes from the Greek word “Bio” means “life” and “mimicry” to imitate. (Benyus, 1997). However, the sophistication and complexity of various database of nature, climate change, etc... require the integration of artificial intelligence to direct adaptation practices, manage the navigation through this large data. The paper will discuss the biomimicry approach and its role in mitigating climate change, followed by addressing the role of (AI) in managing the biomimetic database, weather data. Discussing how (AI) assist in leveraging variables, inputs, creating algorithms, automatically updating databases, offering scenarios, assist in decision making, and less time consuming. So that the designer’s intervention is concerned with overriding the outcomes not starting from scratch, as well as combining the randomness of biomimetic data and the models that evolve overtime, interdisciplinary and the climatic changes, for the development of more efficient solutions.