Emojibot uses deep learning to synthesize expressive new nonverbal communications

Dango is a personal assistant that feeds its users’ messages into a deep-learning neural net to discover new expressive possibilities for emojis, GIFs and stickers, and then suggests never-seen combinations of graphic elements to your text messages that add striking nuances to them. The model began life without any explicit, human-generated labels for emoji. By using a recurrent neural network, it was able to make inferences about graphic meanings and combine them in fascinating ways that its creators never anticipated. Multiple RNNs can also be stacked on top of each other: each RNN layer takes its input sequence and transforms it into a new, more abstracted representation that is then fed into the next layer, and so on. The deeper you stack these networks, the more complex the sorts of…


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