DeepMind’s last triumph (beating the best human Go players with AlphaGo) is impressive, but Go is a great fit for neural networks as they stand today; it’s stateless, so you can fully evaluate your position based on the state of the board at a given turn.
That’s not a good fit for most real-world problems, where you have to remember something that happened in the past. E.g. the ‘fog of war’ in a strategy game.
This is a big open problem in AI research right now. I saw a post around the time of AlphaGo challenging DeepMind to tackle StarCraft next, so it is very cool that they have gone in this direction.
When Google’s AI can beat a human at StarCraft, it’s time to be very afraid.
DeepMind’s last triumph (beating the best human Go players with AlphaGo) is impressive, but Go is a great fit for neural networks as they stand today; it’s stateless, so you can fully evaluate your position based on the state of the board at a given turn.
That’s not a good fit for most real-world problems, where you have to remember something that happened in the past. E.g. the ‘fog of war’ in a strategy game.
This is a big open problem in AI research right now. I saw a post around the time of AlphaGo challenging DeepMind to tackle StarCraft next, so it is very cool that they have gone in this direction.
When Google’s AI can beat a human at StarCraft, it’s time to be very afraid.