Though in order to build systems that learn from experience, we first need to grasp a whole lot more clearly just how learning works for us, and how exactly is it that we persist our experience data.
To me it seems we are still in the stage that we have to understand ourselves better, because we simply can't devise and algorithm to solve a problem we cannot solve ourselves.
We can do clever stuff with statistics and math, but that seems to me like more of a hack. For instance, people create models from very small datasets, if you have kids you surely can watch in amazement just how efficient we are wired in that regard. We try to mimic that by feeding huge datasets to algorithms but it still pales in comparison.
True, we still don't know how "learning" works in brains. But it works in our neuronal network. What about combining some real neuronal cells with technology?
I remember one documentary in Discovery Channel, where some scientists make use of rat brain cells cultured on a circuit to build a small robot, which learns to avoid obstacles on it's path.
To me it seems we are still in the stage that we have to understand ourselves better, because we simply can't devise and algorithm to solve a problem we cannot solve ourselves.
We can do clever stuff with statistics and math, but that seems to me like more of a hack. For instance, people create models from very small datasets, if you have kids you surely can watch in amazement just how efficient we are wired in that regard. We try to mimic that by feeding huge datasets to algorithms but it still pales in comparison.