The history of AI can be traced back to the mid-20th century. In 1956, the term “artificial intelligence” was coined by John McCarthy, who organized the Dartmouth Conference, which is widely regarded as the birthplace of AI. The conference brought together researchers from different disciplines, including mathematics, psychology, and engineering, to discuss the possibility of creating intelligent machines.

In the following years, AI research saw rapid progress, and by the 1960s, scientists were developing programs capable of performing tasks such as theorem proving, language translation, and pattern recognition. However, progress slowed down in the 1970s due to limited computing power and a lack of data.

In the 1980s, the field saw a resurgence of interest with the development of expert systems, which were designed to simulate the decision-making abilities of a human expert in a particular field. The 1990s brought advances in machine learning, which enabled computers to improve their performance on tasks by learning from data.

Since the 2000s, AI has seen a significant expansion with the advent of Big Data and more powerful computing technologies. The field has made tremendous progress in areas such as natural language processing, computer vision, and robotics.