Linear regression using mean absolute error

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Is the regression using the mean squared error any different if the absolute error is used? Assuming the formula is $Y = ax + b$ and both a and b are found using the mean squared error, would they be different than with the other method? Should I take the formula of the mean abs error and minimize it?