{"id":10791,"date":"2025-09-23T09:55:11","date_gmt":"2025-09-23T07:55:11","guid":{"rendered":"https:\/\/eurocc.nscc.sk\/?p=10791"},"modified":"2025-09-23T10:20:18","modified_gmt":"2025-09-23T08:20:18","slug":"vypoctova-sila-hpc-prinasa-nove-moznosti-v-ochrane-medveda-hnedeho","status":"publish","type":"post","link":"https:\/\/eurocc.nscc.sk\/en\/vypoctova-sila-hpc-prinasa-nove-moznosti-v-ochrane-medveda-hnedeho\/","title":{"rendered":"The computing power of HPC brings new opportunities in the protection of the brown bear\u00a0<\/strong>"},"content":{"rendered":"
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The computing power of HPC brings new opportunities in the protection of the brown bear <\/strong><\/p>\n\n\n\n

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High-Performance Computing (HPC) is a key technology of the modern era that fundamentally transforms the way complex problems are solved. Supercomputers can process enormous volumes of data and perform billions of calculations per second \u2013 tasks that would take ordinary computers months can be completed within hours. As a result, HPC accelerates scientific discoveries, enables simulations ranging from molecular interactions to climate change, and opens the door to the practical use of artificial intelligence. It is a driving force of innovation and competitiveness in medicine, industry, energy, and environmental protection.<\/p>\n\n\n\n

It is not just an abstract concept \u2013 its benefits can be seen in concrete applications. Thanks to HPC, Slovak researchers trained complex artificial intelligence models on thousands of camera trap images to recognize the brown bear. A process that would normally take weeks was completed by the supercomputer in just a few hours. The result is a success story: the combination of modern technologies with nature conservation, improved human safety, and more efficient scientific work.<\/p>\n<\/div><\/div>\n\n\n\n

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Challenge:<\/span><\/strong> The brown bear (Ursus arctos) is one of the most iconic yet also controversial species in our nature. In Slovakia, its population is relatively stable, but monitoring its movement and behavior is crucial both for nature conservation and for human safety. Traditional methods such as visual observation or tracking are time-consuming and often inaccurate. Modern camera traps can capture thousands of images from the forest, but evaluating them manually is practically impossible.<\/p>\n\n\n\n

Solution:<\/span><\/strong> A team of researchers from the Faculty of Natural Sciences and Informatics at UKF in Nitra developed an artificial intelligence system aimed at automatically recognizing whether a bear is present in an image or not. They used convolutional neural networks (CNNs) \u2013 the same principle applied, <\/strong>konvolu\u010dn\u00e9 neur\u00f3nov\u00e9 siete (CNN) <\/strong>for example, in facial recognition on mobile phones.<\/p>\n\n\n\n

For training the model, they collected:<\/p>\n\n\n\n