Studying the impact of climate change on fauna and flora in the Alps<\/strong><\/p>\nMIAI, the Grenoble-based interdisciplinary institute for Artificial Intelligence created in September 2019, develops the new generation of AI models and systems, from hardware and embedded architectures to software, with a particular focus on the environment. HPE brings its expertise in high-performance computing and assists researchers in porting their code to high-performance machines enabling them to move on to large-scale analyses.<\/p>\n
Within this institute, Jocelyn Chanussot, Professor at the GIPSA-Lab laboratory in Grenoble-INP and Wilfried Thuiller, Director of Research at the Alpine Ecology Laboratory (LECA) are leading a chair dedicated to the development of advanced artificial intelligence methods for the observation of the environment and more specifically alpine ecosystems, which are particularly affected by global warming. In order to study this phenomenon, 40m2 of grasslands were transplanted in 2016 and have since been monitored by in situ observations (morphological characteristics, photosynthetic productivities, changes in microbial composition by environmental DNA) and since 2020 by traditional (RGB) and hyperspectral photographs at very high spatial (~1cm) and temporal (~1 time per week) resolution.<\/p>\n
In order to measure, quantify and understand the impact of climate change on our environment, many means of observation are available: satellites, airborne campaigns, the use of drones, in-situ measurements, and even laboratory measurements for DNA analysis of plants and animals. All these observations generate a very large volume of data (>100TB), the so-called “Big Data”, with very different scales of observation.\u00a0“The success of these projects is due to the synergy between ecologists, data scientists and high-performance computing experts. The MIAI Institute has played a key role as a catalyst.”<\/i>\u00a0explains Jocelyn Chanussot.<\/p>\n
“We are very proud to be involved in this research project at the 3IA in Grenoble (MIAI), not only for its interest in the fight against global warming, but also to refine our skills in image analysis and the resulting learning models.”<\/i>\u00a0commented Pierre Hoffer, Director Presales EMEA at HPE for HPC and AI solutions.<\/p>\n
Supercomputers such as GENCI’s Jean Zay machine, designed by HPE and inaugurated in January 2020, are in fact indispensable for training processing algorithms on colossal volumes of data and thus extracting information from this highly heterogeneous mass of data.<\/p>\n
Collecting sound data at the edge of palaeotropical rainforests and arid deserts<\/strong><\/p>\n