At the North Caucasus Federal University (NCFU), artificial intelligence (AI) has been developed to predict inflation based on news data. This was reported by the university's press service.
The resulting system helps to make three inflation forecasts: short-term (for a month), medium-term (for a quarter), and long-term (for a year).
To create the model, scientists collected and labeled data, using scripts for automated article collection and manual classification by key parameters. This allowed for the formation of a balanced dataset and helped to avoid bias in the model. The new analysis system demonstrated high classification accuracy - 93%.
Our project has confirmed the effectiveness of using machine learning for economic analysis. In the future, we plan to regularly update the data and use more complex architectures.
In the future, such a system may be useful for business representatives.
Earlier,www1.ru reported that in Moscow a system wasdeveloped to predict stock price growth.
Read more on the topic:
MIPT Taught Artificial Intelligence to Write Prescriptions and Sick Leave Certificates
Will Solve All Tasks, Answer All Questions: A Multipurpose Chatbot Based on AI Developed in Buryatia
The Ministry of Digital Affairs Launched Testing of Generative AI on "Gosuslugi"
Now on home
Start of deliveries scheduled for 2027
Over 51,000 new motorcycles were sold in Russia in 2025
The car will take at least a year to assemble
The application's audience has reached 20 million users
The model will be included in the list of cars for taxis, price - from 2.25 million rubles
All parking lots of the "Administrator of the Moscow Parking Space" are connected to the service
The cars will be supplied to the Moscow Transport Service Directorate
Deliveries to India may begin in 2028
The technology provides automated search for all types of defects in power units
The plane flew 500 km, accelerating to 425 km/h
The plant stated that the information about the termination of purchases for models 6 and 8 is not true
Scientists are using the "Ekran-M" installation