think of it this way:
The search space for chess is much smaller, so we can lean very heavily on brute forcing in our A.I. implementations.
The search space for Go is much larger, so while brute force searches are critical in tight fighting, and in endgame play, something more has to happen to play go well in the middle game.
Chess fell to a much earlier generation of A.I.
While Go held out until A.I. as a field had advanced as well several generations/decades as well.
Agreed. The part I object to is the unqualified statement that go requires a high degree of intuition, whereas chess doesn't. As humans play the game, I think it's safe to say that this is generally inaccurate. Both games, for humans, rely very heavily a high degree of intuition.
I would tend to agree that there is something interesting and new at work here, though, in that computers didn't get better than humans at go simply by applying the same brute force algorithm, just with more processing power. It does suggest that at least some of what we previously thought required "intuition" can be modeled through a random forest (I think that's what they're using, if not RF, then some other combination of ML).
In the video for the second match, a Google employee mentions that a neural net they call the policy net (trained on a large sample of historical games) provides intuitive moves, while another NN evaluates board strength. They apply the policy net to find multiple interesting moves, then continue to apply the net to anticipate the opponents moves to generate a tree of possible moves. It then just settles on which move to make that gives it the best odds of winning
Lets take it as a given that you are excited about becoming a poweruser of the perforce ecosystem (hey, if my complany chose this tool, the least I can do is understand it very, very well), documentation resources are lacking I.M.O.
very few up to date third party books, the video tutorials hang while you watch them, the documentation instructs you to press buttons that simply aren't there in the GUI. with no alternates give.
we paid for professional training and the answer given in the meeting was "experiment and see how it's working".
The xperia compact series is an amazing line of phones, but also super fragile. I've destroyed two. both from "waist height" drops. Also, I couldn't find an otter box or other sufficiently protective case for it.
The touch screen is built in such a way that any small crack and half the screen or more stops accepting touch.
you want the Incipio case for it. Best I've found, works great.
I use the charging dock @ work, which requires taking the case on/off a couple times a day. I can attest to it not falling apart from use.
The search space for Go is much larger, so while brute force searches are critical in tight fighting, and in endgame play, something more has to happen to play go well in the middle game.
Chess fell to a much earlier generation of A.I. While Go held out until A.I. as a field had advanced as well several generations/decades as well.