AI in 2013
2 milestones in artificial intelligence
ResearchDeep Learning Breakthrough
Word2Vec: Words as Vectors
Google researchers published Word2Vec, showing that relatively small neural networks could efficiently learn meaningful vector representations of words from large text corpora. The famous example `king - man + woman ≈ queen` made the idea vivid: semantic relationships could be captured geometrically in vector space.
Tomas MikolovGoogle
ResearchDeep Learning Breakthrough
DeepMind's DQN Masters Atari Games
DeepMind demonstrated a deep reinforcement learning agent (Deep Q-Network) that learned to play Atari 2600 games directly from pixel inputs, achieving superhuman performance on many games with no task-specific engineering. Google acquired DeepMind for ~$500 million shortly after.
Volodymyr MnihDemis HassabisDeepMind