Polytechnic Department of Artificial Intelligence and Machine Learning

AI refers to the simulation of human intelligence in machines that can perform tasks that typically require human intelligence. The ultimate goal of AI is to create intelligent agents capable of understanding, reasoning, learning, and problem-solving. AI encompasses a wide range of techniques and approaches to achieve these capabilities, including machine learning, natural language processing, computer vision, robotics, Drone applications and many more. Machine Learning is a subset of AI that focuses on the development of algorithms and statistical models that enable computers to learn and improve their performance on specific tasks without being explicitly programmed. Instead of following predefined rules, ML algorithms use data to identify patterns, make predictions, or optimize decision-making processes. Machine Learning is widely used in various applications, including image and speech recognition, natural language processing, recommendation systems, autonomous vehicles, and many other AI-driven technologies. In summary, AI is the overarching field focused on creating intelligent machines, while Machine Learning is a subset of AI that deals specifically with enabling machines to learn and improve from data without explicit programming. Both AI and ML play critical roles in shaping the future of technology and have applications across various industries and domains.