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IdroGEO receives the Honorable Mention at the XXIX edition of the Compasso d'Oro ADI
IdroGEO has been awarded with the Honorable Mention at the XXIX edition of the Compasso d'Oro ADI and joins the Compasso d'Oro Historical Collection, declared in 2004 of "exceptional artistic and historical interest". A milestone that brings us joy, gratitude, and a confirmation of our method.
Innovating for Safety: SciamLab Presents LEWS at the Liquid AI Hackathon
SciamLab participates in the Liquid AI Hackathon with LEWS, an innovative open-source early warning system for landslides based on the fine-tuning of the LFM-2.5-VL model.
The Urgency of Certified Public Data as a bulwark against information distortions in the era of Agentic AI
We live in an era where Generative Artificial Intelligence (GenAI) is celebrated as the key to decoding the complexity of human knowledge. However, we face a dangerous paradox: while large-scale language models (LLMs) become increasingly powerful in the form of communication, the data they rely on to interact with the real world (so-called "agentic AI") remains fragmented, uncertified, and inherently fragile.
Recent articles
IdroGEO receives the Honorable Mention at the XXIX edition of the Compasso d'Oro ADI
IdroGEO has been awarded with the Honorable Mention at the XXIX edition of the Compasso d'Oro ADI and joins the Compasso d'Oro Historical Collection, declared in 2004 of "exceptional artistic and historical interest". A milestone that brings us joy, gratitude, and a confirmation of our method.
Read more
Innovating for Safety: SciamLab Presents LEWS at the Liquid AI Hackathon
SciamLab participates in the Liquid AI Hackathon with LEWS, an innovative open-source early warning system for landslides based on the fine-tuning of the LFM-2.5-VL model.
Read more
The Urgency of Certified Public Data as a bulwark against information distortions in the era of Agentic AI
We live in an era where Generative Artificial Intelligence (GenAI) is celebrated as the key to decoding the complexity of human knowledge. However, we face a dangerous paradox: while large-scale language models (LLMs) become increasingly powerful in the form of communication, the data they rely on to interact with the real world (so-called "agentic AI") remains fragmented, uncertified, and inherently fragile.
Read more