Artificial Intelligence (AI) is a transformative field of computer science that focuses on creating machines capable of intelligent behaviour. It encompasses machine learning, systems learning from data, and various applications such as computer vision and natural language processing. AI aims to simulate human cognitive functions, enabling machines to perceive, reason, and make decisions. This interdisciplinary field holds immense innovation potential, impacting industries from healthcare to finance and shaping the future of technology.

Machine Learning (ML) is a subset of artificial intelligence that empowers systems to learn and make decisions from data without explicit programming. It encompasses supervised learning, unsupervised learning, and reinforcement learning, enabling algorithms to improve performance over time. ML is pivotal in diverse applications, from predictive analytics to image recognition, revolutionizing how computers analyse and interpret information.

Deep Learning (DL) is a specialized branch of machine learning that involves neural networks with multiple layers, allowing systems to automatically learn intricate patterns from data. It excels in tasks such as image and speech recognition, natural language processing, and complex decision-making. DL’s depth enables it to capture nuanced features, making it a cornerstone in cutting-edge AI applications.

Computer Vision is a field of artificial intelligence focused on enabling machines to interpret and understand visual information from the world. It involves the development of algorithms and systems for image and video analysis, including tasks like image recognition, object detection, and image segmentation. With applications ranging from autonomous vehicles to healthcare diagnostics, Computer Vision plays a crucial role in enhancing machines’ ability to perceive and interact with the visual world.