Solitaire, a board game with four solitaire cards, is a popular board game.
It’s a relatively easy game to learn, but difficult to master.
It has been shown that it is possible to build a neural network that is able to make solitaire solitaire-like, or even solitaire chess.
The research team from the Massachusetts Institute of Technology (MIT) have now developed a neural system that can learn the strategy of the solitaire board.
This is a significant step forward in understanding the neural network capabilities in the soliton board.
They also showed that the neural system is able as well to learn other games that have solitaire elements.
Their paper is published in Nature Communications.