“Self-Taught AI Is Best yet at Strategy Game Go”, 2017-10-18 ():
Merging these functions into a single neural network made the algorithm both stronger and much more efficient, said Silver.
It still required a huge amount of computing power—four of the specialized chips called tensor processing units, which Hassabis estimated to be US$25 million of hardware. But this was less than one-tenth what its predecessors used.
It also trained itself in days, rather than months.
The implication is that “algorithms matter much more than either computing or data available”, said Silver.