Employing AI to Foster Scientific Advancements on Our Platform
In an exciting development, Europe's first augmented marine observatory, known as the Augmented Observatories (AO) project, has been launched. This innovative initiative combines genomics, quantitative imaging, and physico-chemical data to revolutionise our understanding of marine ecosystems.
The AO project, supported by several research institutions in France and the EU-funded AI4Life project, is focused on investigating the impacts of environmental changes on marine ecosystems, both natural and human-induced. Three marine stations in France - Villefranche-sur-Mer (IMEV), Banyuls-sur-Mer (OOB), and Roscoff (SBR) - are at the heart of this groundbreaking project.
At the core of the AO project is the integration of AI technology. AI is being used to merge satellite imagery with in-situ biological information, helping to find links between local observations and the global picture. This approach allows researchers to gain a comprehensive understanding of the marine environment on a scale never before possible.
One of the key research projects under the AO umbrella is the study of photosynthesis and carbon fixation in marine picoplankton on a global scale. This research, carried out using a combination of genomic and satellite data and AI tools, has yielded fascinating insights. For instance, it has been discovered that the plankton's morphological diversity increases when food and plankton levels are low, suggesting a survival advantage in tough conditions.
The AO project also supports research focused on analysing plankton samples from the northwestern Mediterranean Sea over a 12-year period. Led by Jean-Olivier, this project analysed 45 features on over 800,000 individual zooplankton to track how morphological diversity changed based on resource levels.
AI is also playing a crucial role in the project's data analysis, with techniques dedicated to combining separate complex datasets. The BioImage Model Zoo, a community platform offering access to AI models tailored for the analysis of bioimages, is a key outcome of the AI4Life initiative and is being utilised in the AO project.
The AO services, resources, and expertise are available to a wide range of researchers from different disciplines. The project's website provides web services that can help researchers upscale their projects while adhering to FAIR data protocols. Furthermore, the AO offers specialized services through its website for researchers interested in genomics (Roscoff), sensors (Banyuls-sur-Mer), and imaging (IMEV).
AI is being used to support the imaging side of the project, with the goal of accelerating the process and increasing precision. The use of AI in this project not only promises to provide a better understanding of the impacts of environmental changes on marine ecosystems but also sets a precedent for future collaborations between AI and marine research.
In conclusion, the Augmented Observatories project represents a significant leap forward in our ability to understand and monitor marine ecosystems. By harnessing the power of AI, this project is set to transform our understanding of the marine environment and help us navigate the challenges posed by environmental changes.
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