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  1. Semantris is a word association game powered by machine learning.

  2. Semantris is a set of word association games powered by machine-learned, natural language understanding technology. Each time you enter a clue, the AI looks at all the words in play and chooses the ones it thinks are most related.

  3. Semantris. Semantris is a word association game that uses this same technology. Each time you enter a clue, the AI looks at all the words in play and chooses the ones it thinks...

  4. Apr 13, 2018 · Semantris is a word association game powered by machine learning, where you type out words associated with a given prompt.

  5. In this free of charge lesson extension video from Applied Digital Skills, learners will discover how to play a word association game in Semantris.

  6. Semantris is an addictive word based puzzler thats powered by Googles machine learning AI, in which you attempt to guess the words most associated with the ones you’re trying to eliminate. Semantris is playable in two different modes - Arcade and Blocks.

  7. Semantris is an AI-powered word association game from Google Research that allows users to explore the nuances of language. Using natural language processing and machine learning, Semantris connects words with similar meanings and encourages players to think critically and form creative word relationships.

  8. Sep 20, 2023 · Semantris is a word association game powered by Artificial Intelligence developed by Google Research. Its main objective is to connect words that have similar meanings and encourage critical reflection and creativity in players. How do you achieve this?

  9. Sep 11, 2018 · This subreddit is for us lovers of games that feature an incremental mechanism, such as unlocking progressively more powerful upgrades, or discovering new ways to play the game. This genre is growing at a break-neck pace, be part of the revolution!

  10. Semantris is an example of a word game built through natural language processing models. The code can be downloaded to develop other applications related to natural language processing.

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