Design of smart chess board that can predict the next position based on FPGA

The abilities of human brain to discover solutions for many problems is a great gift that motivate the scientists to develop the revolution of the artificial intelligence and using it in many areas. This paper proposed an intelligent chessboard which works in a way that similar to the human brain that predicts the next positions for any piece of the chess. MATLAB is used in the training of the artificial neural networks of the chessboard and implemented on FPGA as a hardware part; the proposed system has many advantages such as the low cost of production with a high efficiency in the prediction of the position of any piece on the chessboard and the similarities to the human brain