{"id":2350,"date":"2026-01-21T14:51:13","date_gmt":"2026-01-21T13:51:13","guid":{"rendered":"https:\/\/www.pmten.it\/?page_id=2350"},"modified":"2026-02-11T11:54:52","modified_gmt":"2026-02-11T10:54:52","slug":"flashnet","status":"publish","type":"page","link":"https:\/\/www.pmten.it\/en\/flashnet\/","title":{"rendered":"FlashNet"},"content":{"rendered":"\n
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Flashnet – The Algorithm that predicts lightning<\/h1>\n<\/div>\n\n\n\n
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An advanced artificial intelligence algorithm designed to enhance safety, prevention, and emergency response.<\/div>\n<\/div>\n <\/div><\/div>\n<\/div>\n <\/div><\/section>\n\n\n\n
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A step forward in weather forecasting<\/h2>\n<\/div>\n\n\n\n
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PM_TEN has integrated FlashNet into its advanced numerical models, an innovative lightning\u2011formation forecasting system based on artificial intelligence algorithms.

Developed by the Department of Civil, Chemical and Environmental Engineering (DICCA) at the University of Genoa, FlashNet is a concrete example of how scientific research can evolve into operational tools that support prevention and territorial safety.<\/div>\n<\/div>\n <\/div><\/div>\n<\/div>\n <\/div><\/section>\n\n\n\n
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The research behind FlashNet<\/h2>\n\n\n\n
The development of FlashNet was featured in the prestigious international journal Nature Communications<\/em>, where it was selected among the Editors\u2019 Highlights in the AI and Machine Learning section<\/div>\n\n\n\n
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READ THE PUBLICATION<\/span><\/span>\n <\/path>\n<\/svg><\/span><\/span><\/a><\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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\"Paesaggio<\/div>\n<\/div>\n\n\n\n
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From research project to operational reality<\/h2>\n\n\n\n
After being tested within the FESR BIVIOS project, FlashNet is now fully operative within PM_TEN\u2019s meteorological forecasting systems. Thanks to its ability to combine traditional algorithms with artificial intelligence techniques, the system enables:<\/div>\n\n\n\n