This website uses cookies.

We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners who may combine it with other information that you’ve provided to them or that they’ve collected from your use of their services.

Welcome to History of Data Science. Discover the stories of heroes who transformed our daily lives!

BROUGHT TO YOU BY Dataiku Dataiku

xperiences-ico The Graphic Novel
Filter
Date
Families
Google DeepMind
Applications / Applied Data Science

AlphaZero: Checkmate

4 min read
08_03_2021
In 1997, IBM shocked the world when its computer program, Deep Blue, beat the world chess champion Gary Kasparov in a six-game match. Two decades later, AlphaZero, a program designed by DeepMind, a subsidiary of Google, accomplished something far more impressive. Not only does the program know how to play strategy games, including chess, better than any human on Earth, but it learned how to play them on its own.

Simple but smart

Most game programs have been the product of thousands of data inputs. For instance, Stockfish, the open source chess engine that is widely considered the best conventional chess engine in the world, is updated constantly.

AlphaZero, however, is stunningly simple. The only knowledge that it was programmed with was the rules of chess, shogi and go.

It’s made up of two parts: a neural network and the Monte Carlo Tree Search algorithm. Initially, when the system is unleashed, it is relatively bad at the game. Like a beginning player, the neural network picks random points on the decision tree and sees what happens.

However, the more games it plays, the better the neural network understands it. And of course, it has the advantage of playing much faster than a human. In its first nine hours of existence, AlphaZero played 44 million games of chess against itself. After two hours, it was better than any human. After four hours, it was beating the best chess program in the world.

Practically human

In the two decades since losing to DeepBlue, Gary Kasparov had grown used to seeing computer programs attain new heights in gameplay. However, there was something fundamentally different about AlphaZero: it played like a human!

“The conventional wisdom was that machines would approach perfection with endless dry maneuvering, usually leading to drawn games,” Kasparov wrote in Science Magazine. “But in my observation, AlphaZero prioritizes piece activity over material, preferring positions that to my eye looked risky and aggressive. Programs usually reflect priorities and prejudices of programmers, but because AlphaZero programs itself, I would say that its style reflects the truth.”

AlphaZero’s triumph over its conventional counterparts illustrates the distinction between the limited capabilities of powerful computers and the potentially limitless capabilities of artificial intelligence. Unlike conventional computers, which rely on humans to program them with information, AI develops knowledge on its own. For better or worse, it’s person-like ability to learn holds the potential to transform the world.
It’s less of a supercomputer than a superhuman.

After losing to AlphaZero, world go champion Lee Sedol was initially despondent, and issued an apology to fans for being “so powerless.” Eventually, however, he showed appreciation for his adversary: “Maybe it can show humans something we’ve never discovered. Maybe it’s beautiful.”