Science
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If you have two unrelated text corpora in different languages, it's possible to learn to match/translate their words. So if aliens come to us, we can quickly establish communication β€” we only need a text corpus (of course, it works if these languages belong to creatures with more or less the same brain and body, living in more or less the same conditions 🀭). The hypothesis used here is that vector spaces of languages have similar structure. We can try to "superimpose" one vector space on another by multiplying by the generator matrix. We teach vector word spaces for both corpora, for example, using word2vec. Then we teach GAN: the generator (multiplication by the trained matrix) learns to translate elements from one space to another, and the discriminator learns to determine the original space. To translate a word, we use a generator (multiply vector of the word by the matrix) and look for the closest word from another language in the vector space. It actually works! https://arxiv.org/abs/1710.04087
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𝐄𝐗𝐓. π•πˆπ„π“ππ€πŒπ„π’π„ π’π”ππ„π‘π…π€π‘πŒ / 2054 - πƒπ€π˜ In the midst of the second planting season of the year, there’s a typhoon bearing down. Time is of the essence. A farm of invisible technology has been preparing the soil all night, taking raw data from the lumpy earth, analysing the environment with cutting-edge artificial intelligence, and returning the results to an autonomous tractor with the green light to plant the seeds – hybrid, genetically modified, resistant strains engineered to survive the still rapidly changing climate. No need for fertiliser. Nor human intervention. This is an autonomous superfarm. https://www.culture3.com/posts/ai-can-feed-the-world-but-at-what-cost
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