Game 1 results
Updated at 5pm KST, March 9

AlphaGo takes the first game against Lee Sedol. They were neck-and-neck for its entirety, in a game filled with complex fighting. Lee Sedol made very aggressive moves but AlphaGo did not back down from the fights. AlphaGo took almost all of its time compared to Lee Sedol who had almost 30 minutes left on the clock.

Result: W+Res

Number of moves: 186

Time taken by black (Lee Sedol): 1:31:32

Time taken by white (AlphaGo): 1:54:30

Lee Sedol (이세돌; born 2 March 1983) is a South Korean professional Go player of 9-dan rank.[1] As of February 2016, he ranks second in international titles (1, behind only Lee Chang-ho (21).

I read it is approximately 1200 CPUs and 170 GPUs.    

Code:

I read it is approximately 1200 CPUs and 170 GPUs.    

That seems unfair. The computer should run on the same amount of energy that 세돌 is running on - that is, a couple of bowls of 비빔밥 and some 소주.

Game 2 - March 10, 2016
AlphaGo again beat Lee Sedol, taking a 2-0 lead in this five-game match.

AlphaGo made a number of creative moves that surprised the expert commentators.

Code:

I read it is approximately 1200 CPUs and 170 GPUs.    

That seems unfair. The computer should run on the same amount of energy that 세돌 is running on - that is, a couple of bowls of 비빔밥 and some 소주.

btw, is alphago generic learner or they build it specifically to tackle go?

sleepsleep wrote:

btw, is alphago generic learner or they build it specifically to tackle go?

Please visit my website. All the information is there.

DeepMind Technologies's goal is to "solve intelligence",[25] which they are trying to achieve by combining "the best techniques from machine learning and systems neuroscience to build powerful general-purpose learning algorithms".[25] They are trying to formalize intelligence[26] in order to not only implement it into machines, but also understand the human brain, as Demis Hassabis explains:

As opposed to other AIs, such as IBM's Deep Blue or Watson, which were developed for a pre-defined purpose and only function within its scope, DeepMind claims that their system is not pre-programmed: it learns from experience, using only raw pixels as data input.

Lee Sedol is playing brilliantly! #AlphaGo thought it was doing well, but got confused on move 87. We are in trouble now...

Mistake was on move 79, but #AlphaGo only came to that realisation on around move 87

Gneural Network is the GNU package which implements a programmable neural network. In the current release, version 0.0.1, it is a very simple feedforward network which can learn very simple tasks such as curve fitting, but we plan to deliver more advanced features very soon. In particular, we are already spending efforts to implement a network of LSTM (long short term memory) neurons for recurrent networks and deep learning. We also plan to implement learning reinforcement techniques.

A poker-playing AI has beaten four human players in a marathon match lasting 20 days.

Libratus, an artificial intelligence program developed at Carnegie Mellon University, was trained to play a variant of the game known as no-limit heads-up Texas hold 'em.