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CAE in Amsterdam for Meteorological Technology World Expo and WMO TECO-2026

August 2026

From 5 to 8 October, the CAE team will be waiting for you at stand D15 during Meteorological Technology World Expo and during the TECO poster session. Special attention will be given to the role that Artificial Intelligence and Machine Learning can play in the evolution of products and services for natural hazard risk mitigation…

FRENK: the Generative AI-Based Assistant for Maintenance and Technical Support

July 2026

An important tool supporting maintenance and training activities, enabling real-time access to technical information and knowledge generated through the experience of all users. It improves the operational efficiency of maintenance services, reduces intervention times, and promotes the dissemination of know-how. It provides 24/7 support in Italy and abroad and is capable of learning over time…

CAE heads to Mauritania

July 2026

CAE has been awarded a major national meteorological contract promoted by the Ministry of Agriculture and Food Sovereignty of Mauritania under the PROGRES – Mauritanie FIDA program, funded by the Green Climate Fund (GCF) and the International Fund for Agricultural Development (IFAD/FIDA), for the supply, installation, and commissioning of…

Basilicata Region: modernization and upgrading of the hydrometeorological network

July 2026

CAE was awarded Phase 2 of the tender issued to technologically adapt the existing network while increasing station density across the territory. The works will cover stations, repeaters, and the central control unit. Services offered also include Dynamic Adaptive Routing (RAD)…

PAOLO BERNARDI AWARD: MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE TO IMPROVE EARLY WARNING

July 2026

During the 2026 Hydrology Days, the Italian Hydrological Society (SII) announced the winning project of the third edition of the Paolo Bernardi Award: “SHAPE – EWS: Synthetic Hyetograph Approximation of Precipitation Events for Pluvial Flood Early Warning System,” developed by Giulio Paradiso and Mohammad Rasoul Sedaghat Rad. CAE President Guido Bernardi presented the award to the two young researchers…

Predictive maintenance and measurement quality control: the hidden information within data collected by monitoring systems

June 2026

Measurements collected by monitoring systems represent an information asset that goes beyond their primary use. Data enables real-time decision-making as well as the generation of historical series. Moreover, it forms the knowledge base through which, using Machine Learning techniques, data quality can be verified, and predictive maintenance programs can be implemented…

PNRR – MASE Implements the Integrated Monitoring and Forecasting System (SIM)

June 2026

The Italian Ministry of the Environment and Energy Security is strengthening environmental risk monitoring through the implementation of the Integrated Monitoring and Forecasting System (SIM). In addition to new software and IT infrastructures, the project includes the modernization and enhancement of environmental monitoring networks across the country. More than €210 million has been invested in weather radar systems, real-time hydrometeorological monitoring networks, landslide monitoring, seismic monitoring, wildfire detection, and other strategic infrastructures throughout Italy…

PNRR – Hydrometeorological, Agrometeorological and GHG Networks: Ongoing Works

June 2026

The activities involving CAE concern a total of 4,300 sites, including both new installations and upgrades. This major challenge, developed within the framework of the National Recovery and Resilience Plan (PNRR), aims to strengthen forecasting capabilities, also considering the impacts of climate change. Each installed component is fully interoperable with existing networks, according to the characteristics and requirements defined by the individual entities involved…

PNRR – Hydrogeological Instability: Strengthening Landslide Monitoring

June 2026

Among the infrastructures included in the implementation of the Integrated Monitoring and Forecasting System (SIM) is the in situ landslide monitoring network, a strategic component for the prevention of hydrogeological instability. In a country with more than 621,000 mapped landslides affecting approximately 24,700 km², 135 priority sites have been identified…

Radio IP and Machine Learning: CAE develops Dynamic Adaptive Routing (RAD)

April 2026

From CAE research comes a revolutionary solution to increase the reliability of radio networks in the event of malfunctions. Dynamic Adaptive Routing (RAD) is a feature that enhances IP radio network infrastructures, already designed to operate with “multiple paths”, making them “self-learning”. Message routing builds the path that, at that moment, provides the highest reliability. CAE today offers this service thanks to a patent-pending system. The enhancement can be applied to all networks using RAEVO radio systems…