AI-Driven Control
AI-Driven Control refers to systems that use artificial intelligence (AI) and machine learning (ML) algorithms to autonomously manage, optimize, or regulate processes, devices, or environments. It involves real-time data analysis, predictive modeling, and adaptive decision-making to enhance efficiency, safety, and performance without constant human intervention. This concept is applied in areas like robotics, industrial automation, smart grids, and autonomous vehicles.
Developers should learn AI-Driven Control to build intelligent systems that can handle complex, dynamic tasks where traditional rule-based programming falls short, such as in autonomous navigation or predictive maintenance. It's essential for creating scalable solutions in IoT, manufacturing, and energy management, where real-time adaptation and optimization are critical for reducing costs and improving reliability.