AI in 2013
2 events, oldest first. Each links to a page with details and sources.
- word2vec: efficient word embeddings from Google ★★★★
Tomas Mikolov and colleagues at Google introduced word2vec (CBOW and skip-gram), which learned dense word vectors capturing semantic relationships like king − man + woman ≈ queen.
- DeepMind's DQN learns to play Atari games from pixels ★★★★
DeepMind combined deep convolutional networks with Q-learning (DQN) to learn Atari 2600 games directly from screen pixels; the 2015 Nature version reached human-level performance on many of 49 games.