#3: Saving biodiversity with AI?

🌍When Technology Meets Nature! 🤖

In this captivating video, discover how artificial intelligence (AI) can play a key role in preserving biodiversity, particularly that of the Azores. In the heart of this magnificent forest, explore how technological advances can help protect arthropods and, by extension, the entire ecosystem.

🔍 The Threats to Biodiversity :

Dive into the current challenges facing arthropod populations, such as climate change, pollution and biological invasions. Understand why every species, no matter how small, is essential to ecological balance.

🧠 AI for Conservation:

Discover how artificial intelligence, and more specifically recurrent neural networks (RNN), is being used to analyse long-term data on arthropod diversity and abundance. Learn how these technologies can predict future dynamics and help implement effective conservation strategies.

📊 Mathematical Models and Ecological Predictions :

An exploration of the different prediction methods used, from the LOESS model to recurrent neural networks. Find out which of these models is most effective in predicting the future of the Azores forest and how they can be applied to prevent ecological threats.

🌱 Scenarios for the Future:

Explore the different scenarios considered in this study, such as the potential impact of the disappearance or proliferation of a species on the ecosystem. What are the points of no return for biodiversity and how can AI help identify them?

📈 Practical Applications and Future Projects :

Use this technology to anticipate biological invasions or local extinctions and discover the conservation projects that could result. This video offers a glimpse of the possibilities opened up by artificial intelligence for protecting our precious biodiversity.

💬 Join the discussion:

Your opinion counts! Leave your comments, questions or suggestions for scenarios in the comments section, and don't forget to consult the scientific publication associated with this study to find out more: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4855619

In this video, you can find out more about:

01:40 - Contextualisation of the study

03:10 - Data collection

04:34 - Training and comparing models

06:37 - AI VS other models