The Evolution of AI: From Deep Blue to AlphaGo

In the early days of AI, researchers aimed to build super intelligent systems that could replicate human intelligence. Deep Blue, IBM's chess-playing program, was one of the first successful examples. It was programmed with chess moves and board states, ranking their quality with the help of chess grandmasters. While Deep Blue reflected human knowledge of chess, it lacked creativity and generated nothing new. However, AlphaGo, developed by Google's DeepMind, introduced a new approach to AI. It used an artificial neural network to learn through trial and error, playing millions of simulated games against itself. AlphaGo's ability to learn and make unexpected moves baffled even the world champion at the time. This marked a significant shift in AI development, proving that AI systems could exceed human understanding.