Google's AlphaGo was created to play the ancient board game Go and is the product of DeepMind Technologies, a London-based company that Google acquired. The program uses a highly advanced algorithm called Monte Carlo Tree Search to make its moves, drawing on knowledge gained through machine learning. This learning process involves extensive training with an artificial neural network, using cutting-edge techniques such as deep learning. AlphaGo also incorporates insights from human and computer gameplay to continuously improve its strategy.

In 2016, AlphaGo made headlines when it became the first computer program to defeat a professional human Go player in a series of matches against world champion Lee Sedol, marking a significant milestone in the development of artificial intelligence.

In 2017, an updated version, known as AlphaZero, played 29 million games against itself rather than studying past games played by humans, demonstrating this form of reinforcement learning by beating…