The A.I. Blog

This neural-net powered AI is way better at chess

The AlphaZero is from DeepMind Technologies, a subsidiary under Alphabet, which is Google's parent company. It can tackle not only chess, but also shogi and Go — two equally difficult, if not even more challenging, games.

DeepMind's latest AI wants to beat you in chess.

The neural-net AI studied each of the three games, using a process that's similar to how a brain is structured. (Neural nets are similar in some ways to neurons in our bodies: It's essentially the way the computer takes info and works through it, sort of like a very complex equation.) AlphaZero trained for 9 hours on chess, 12 hours on shogi, and 13 days on Go. Playing itself, it thought about the same moves over and over again. And it worked.
The sheer hardware of the AlphaZero is intense (think a Mac Pro on steroids). It used 5,000 tensor processing units, or TPUs, in training alone. These processors are for AI and neural net tasks. Google Photos employs them for AI features within the app.

AlphaZero wiped out the competition, including previous iterations of DeepMind's AIs. It beat Stockfish in chess, Elmo in shogi, and AlphaGo Zero in Go. Its AI backbone and algorithms worked in real time. Pre-planning for every possible move, after training against itself, let it handle whatever the competition played.

Just 21 years ago, IBM's Deep Blue was able to beat Garry Kasparov, the world chess champion at the time. This was a supercomputer in every way, with a massive set of processing power for the time frame. In a short amount of time, the tech has advanced a lot.
I'm looking to the future to see what happens next... who knows, it might be able to beat me at Monopoly.

Conclusion:Many reaserch organizations and big tech-giants are investing a huge amount of money in field of quantum computing. We are advancing towards a "Quantum Revolution" which might be the biggest revolution in history of mankind!!!.