These so-called deep neural networks have become hugely powerful and now routinely outperform humans in pattern recognition tasks such as face recognition and handwriting recognition. That has allowed computer scientists to train much bigger networks organized into many layers. The second is the availability of massive annotated datasets to train the networks.
PREDICTIONS OF DEEP BLUE CHESS HOW TO
The first is a better understanding of how to fine-tune these networks as they learn, thanks in part to much faster computers. In the last few years, neural networks have become hugely powerful thanks to two advances. Lai has created an artificial intelligence machine called Giraffe that has taught itself to play chess by evaluating positions much more like humans and in an entirely different way to conventional chess engines. That dramatically simplifies the computational task because it prunes the tree of all possible moves to just a few branches.Ĭomputers have never been good at this, but today that changes thanks to the work of Matthew Lai at Imperial College London. This trick is in evaluating chess positions and narrowing down the most profitable avenues of search. Clearly, humans have a trick up their sleeve that computers have yet to master. And yet he played at essentially the same level. While Deep Blue was searching some 200 million positions per second, Kasparov was probably searching no more than five a second. Of course, no human can match that or come anywhere close.
![predictions of deep blue chess predictions of deep blue chess](https://th-thumbnailer.cdn-si-edu.com/H8uTmE2aCLhhCLQctWRSDjPkcg0=/fit-in/1072x0/https://tf-cmsv2-smithsonianmag-media.s3.amazonaws.com/filer/67/5f/675feeef-01ab-4f7b-aa14-66fd08c955a1/kasparov-gambit-chess.jpg)
Their power relies on brute force, the process of searching through all possible future moves to find the best next one.
![predictions of deep blue chess predictions of deep blue chess](http://www.thechessdrum.net/newsbriefs/2002/NB_photos/Kasparov-DeepBlue.jpg)
Since then, chess-playing computers have become significantly stronger, leaving the best humans little chance even against a modern chess engine running on a smartphone.īut while computers have become faster, the way chess engines work has not changed. It’s been almost 20 years since IBM’s Deep Blue supercomputer beat the reigning world chess champion, Garry Kasparov, for the first time under standard tournament rules.