We have developed several algorithms for age estimation that are cutting edge. These algorithms continue to push the performance on standard databases like FG-NET. We have published results with mean absolute error (MAE) on FG-NET at 4.37 years (with Concordia University). Our latest results on FG-NET resulted in rates below 4.0 years in cross-validation testing. We have also developed algorithms that show promise against ethnically diverse data sets.