These systems were able to perform simple tasks such as playing chess or solving mathematical problems.Today, the field of AI continues to evolve and expand, with new advancements being made in areas such as deep learning, reinforcement learning, and neural networks.The history and evolution of AI is marked by the development of new approaches and technologies that have allowed machines to become more intelligent and capable.They are not able to learn or adapt to new situations, and are typically used for simple tasks like data validation or decision making.- Supervised Learning: Supervised learning is the most common type of machine learning, in which the machine is trained on a labeled dataset, and then uses this training data to make predictions on new, unseen data."