THE EFFICIENCY OF AI ALGORITHMS IN PROCESSING REAL-TIME DATA STREAMS
Keywords:
Artificial Intelligence (AI), Real-time systems, Data streams, Machine learning, Deep neural networks, Reinforcement Learning, sensor integration, Decision Making Algorithms, Performance analysisAbstract
This article analyzes the effectiveness of artificial intelligence (AI) algorithms in processing real-time data streams. The aim of the study is to determine the effectiveness of various AI approaches, machine learning, deep neural networks, and augmented learning algorithms in processing real-time data streams. The article discusses the specifics of data streams, sensor data collection, noise filtering, and decision-making processes. Real-time AI algorithms enable the analysis of data flows, increasing system response speeds, and efficient use of resources. The results of the study provide practical recommendations for industrial robots, autonomous vehicles, and smart manufacturing systems
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Copyright (c) 2025 Отабек Эргашев, Исломжон Исмоилов
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