Neural Network Drawing Games

'Quick, Draw!' Teaches Google's Neural Network to Recognize Drawings

'Quick, Draw!' is part of Google Experiments' crowdsourcing campaign to teach the company's neural networks about a host of different things. In particular, Quick, Draw! focuses on teaching the artificial intelligence software to recognize incredibly rough sketches of basic objects. Rather than a staid laboratory experiment, though, Quick, Draw! is a fun and addictive game that will make users forget the scientific implications of the task at hand.

The format of Quick, Draw! is simple: users have to draw objects with just their cursors or their fingers (depending on whether they're playing on a touchscreen or a computer) in 20 seconds or less. The object of the game is to draw the object well enough so that Google's neural network can guess what was drawn. Even in the early stages of the game's release, the AI's accuracy is astounding.
Trend Themes
1. Crowdsourced Neural Networks - Companies can leverage crowdsourcing to train their neural networks and improve accuracy.
2. AI-powered Games - Developing fun and addictive games powered by artificial intelligence offers new opportunities to engage with users.
3. Sketch-based Recognition - Advancements in sketch-based recognition technology lead to better object recognition and automation in industries like manufacturing and logistics.
Industry Implications
1. Technology - Tech companies can use Quick, Draw! as inspiration for developing their own neural network training game.
2. Gaming - Gaming companies can explore opportunities to incorporate AI-powered features into their games to create new experiences.
3. Manufacturing - Sketch-based recognition technology can improve automation and quality control in manufacturing processes, reducing costs and increasing efficiency.

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