AI pioneer suggests trickle-down approach to machine learning

ML master pitches trimmed-down deep learning for the masses

In 2015, modern AI trailblazer Andrew Ng's recipe for success was to go big on neural networks, data, and monolithic systems. Now that recipe has created a problem: the technology is dominated by only a few rich companies with the money and headcount to build such immense systems.…

from The Register