SUN’IY INTELLEKT ASOSIDA RAQAMLI AXBOROTLARNI QAYTA ISHLASH

Authors

  • Baymuratov Erkin Kamolovich Author

Keywords:

Kalit so‘zlar: sun’iy intellekt, raqamli axborot, axborotlarni qayta ishlash, mashinali o‘rganish, neyron tarmoqlar, ma’lumotlar tahlili, avtomatlashtirish, algoritmlar., Keywords: artificial intelligence, digital information, information processing, machine learning, neural networks, data analysis, automation, algorithms.

Abstract

Annotatsiya. Ushbu maqolada sun’iy intellekt texnologiyalarining raqamli axborotlarni qayta ishlash jarayonidagi o‘rni va ahamiyati yoritib berilgan. Zamonaviy axborot tizimlarida katta hajmdagi raqamli ma’lumotlarni tezkor, aniq va samarali qayta ishlash muhim vazifalardan biri hisoblanadi. Sun’iy intellekt algoritmlari, jumladan mashinali o‘rganish va neyron tarmoqlar asosida ma’lumotlarni tahlil qilish, tasniflash va prognozlash imkoniyatlari kengayib bormoqda. Maqolada raqamli axborotlarni qayta ishlashda sun’iy intellektdan foydalanishning asosiy yo‘nalishlari, afzalliklari hamda amaliy qo‘llanilish sohalari tahlil qilinadi. Tadqiqot natijalari ta’lim, sanoat va axborot texnologiyalari sohalarida sun’iy intellektga asoslangan yechimlardan samarali foydalanish imkoniyatlarini ochib beradi.

Abstract. This article highlights the role and importance of artificial intelligence technologies in the process of digital information processing. One of the important tasks in modern information systems is the rapid, accurate and efficient processing of large volumes of digital data. The possibilities of analyzing, classifying and forecasting data based on artificial intelligence algorithms, including machine learning and neural networks, are expanding. The article analyzes the main directions, advantages and areas of practical application of artificial intelligence in digital information processing. The research results reveal the possibilities of effective use of artificial intelligence-based solutions in the fields of education, industry and information technology.

Published

2026-01-04