In the 1950s, Alan Turing laid the foundations for artificial intelligence with his famous Turing test. Turing asked the question: "Can machines think?" and thus created the framework for the first research in this exciting new field. This decade marked the beginning of a journey that redefined the boundaries of what was possible.

The 1970s were characterized by high expectations followed by disappointments, leading to the first "AI winter" - a time when funding and interest in AI research waned. Despite these setbacks, persistent scientists laid the foundations for future success.

The 1990s brought the internet and with it an explosion of available data. AI systems began to use the immense amount of information to become even smarter and more efficient. This decade laid the foundation for what AI can do for us today.

The 2010s were characterized by significant breakthroughs in deep learning and the use of big data. These advances enabled AI systems to recognize and learn complex patterns in large amounts of data, leading to unprecedented improvements in image and speech recognition. The development of self-driving cars and personalized recommendation systems are just a few examples of how these technologies have impacted our lives and work.