Precise Weather Forecasting
This project successfully verified the performance of the high-resolution WRF-NMM weather prediction model over Montenegro’s complex terrain, addressing challenges posed by rapid altitude changes and diverse landscapes. By leveraging HPC infrastructure and five years of meteorological data, the model’s accuracy for temperature, wind, and precipitation predictions was validated, demonstrating its effectiveness for national weather forecasting. The enhanced precision enables better weather intelligence, supporting applications in agriculture, tourism, green energy, and transportation. Read more at [link].
Bridging the Digital Divide: Advancing AI for Montenegrin Language
In the age of large language models, smaller languages like Montenegrin risk being left behind. Most advanced AI language systems are trained on massive English-language datasets, while Montenegrin has very limited digital resources. A large portion of its literature still exists only in printed form, and there are almost no sizeable, well-structured parallel corpora for training or adapting modern AI models. This “digital divide” threatens to exclude Montenegrin speakers from high-quality translation, search, chatbots, and other language technologies that are becoming standard in larger markets. Read more at [link].