What the AI Behind AlphaGo Can Teach Us About Being Human: AJA HUANG DIPS his hand into a wooden
bowl of polished black stones and, without looking, thumbs one between his middle and index finger. Peering through wire-rim glasses, he places the black stone on the board, in a mostly empty zone, just below and to the left of a single white stone. In Go parlance it is a “shoulder hit,” in from the side, far away from most of the game’s other action. Across the table, Lee Sedol, the best Go player of the past decade, freezes. He looks at the 37 stones fanned out across the board, then stands up and leaves…Read the rest of Cade Metz’ report in Wired. photo by Geordie Wood
A glimpse inside AlphaGo? “Here’s a picture of the machine 
Google used in the match against Lee Sedol,” writes Steven Schmeiser. “It turns out that they were using custom designed chips that are optimized for machine learning.”
Google supercharges machine learning tasks with TPU custom chip
Go Commentary: Lee Sedol vs AlphaGo – Game 1: If there’s any recent game that needs no introduction, it’s this one. On March 9, 2016, the computer Go program ‘AlphaGo’ defeated Lee Sedol 9p in the first game of the Google DeepMind Challenge Match. Go Game Guru’s Youngil An takes a look at the game.
Lee Sedol overtaxed? In a related story, Gordan Castanza reports that “I just learned from KBS News (Korean Broadcast System) this morning that Lee Sedol has left the Korean Baduk Association over the issue of its imposing a 20% ‘tax’ on him.” Stay tuned for more details as they become available.
