Cyber City

Step into a realm where the future is wild, a world where the concrete jungle and the green forest merge, creating a mesmerizing fusion of organic life and digital dreams!

We have to explore the potential of deep learning in understanding plant behaviors in relationship with human cities. I am convinced this innovative approach can unlock revolutionary insights, offering unexplored perspectives on environmental sustainability.

This challenging and underexplored line of work holds the potential to unveil revolutionary insights despite its limited coverage in existing literature. A profound reassessment of humanity’s relationship with the planet is imperative. Delving into the study of these organisms in a fundamentally new context allows for contemplating novel sustainability strategies and prompts a reevaluation of our perspective.

The Homo sapiens species, with its mere 300,000 years of existence, stands as a neophyte in comparison to entities like ferns, cycadales, or Ginkgo biloba. Our approach to these species necessitates a paradigm shift in observation, embracing a fundamentally different mindset and openness. Leveraging Artificial Intelligence promises to yield remarkable outcomes, compelling us to revolutionize our planetary habitation practices and fundamentally redefine the concept of urbanity.

It is imperative to transcend the historical notion, dating back to ancient Greek polis times, wherein cities are still perceived as protective havens from nature’s harsh and untamed aspects. Today, cities, born to save humans from wild nature, must be reconceived as places to protect nature. We must envision cities as open, harmonious spaces that authentically incorporate nature. This reimagining is essential for advancing our understanding and application of Artificial Intelligence in addressing pressing ecological challenges.

My vision extends beyond mere species or disease recognition in plants. I aspire to investigate intricate correlations through advanced neural solutions (such as Geometric DL, HyperGraphs, etc.). Generative AI could enable us to emulate fundamental plant phenomena, including phototropism, phototaxis, etc., opening new horizons in comprehending and replicating these natural systems.