Exhibit 4.4
2016AlphaGo
DeepMind’s system defeats Lee Sedol, one of the world’s leading Go players, in a game long considered exceptionally difficult for machines.
Why it is in the museum
Neural networks learn by adjusting large numbers of numerical weights. The idea is old, but the scale of data and computing made it far more powerful.
What supports this exhibit
Primary scientific paper
The architecture and results of AlphaGo.
Main source: Silver, D. et al. (2016), Nature 529, 484–489.
What to keep in mind: Primary source.
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