Machine learning, a subset of AI, is revolutionizing industries by enabling systems to learn from data. It encompasses supervised, unsupervised, and reinforcement learning, driving advancements in healthcare, finance, and autonomous vehicles while facing challenges like data bias.
Artificial Intelligence (AI) has evolved from concept to a transformative reality, influencing various sectors like healthcare, finance, and manufacturing. This article discusses AI’s definitions, types, key components, applications, ethical concerns, and future prospects, emphasizing the need for responsible development and the potential for human-AI collaboration while addressing challenges such as bias and job displacement.