In 2012, DeepMind's team focused on building artificial general intelligence (AGI) to surpass human performance in cognitive tasks. They created an algorithm called DQN, which learned how to play classic Atari games by itself. Initially. later tried AlphaGo.
Go is exponentially more complex than chess, with over 200 quadrillion(10^15, 1000 trillion) possible configurations after just three moves.
