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12 Posts

Clip from the movie Fall showing one of the protagonists falling from a radio antenna.
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Deepfakes Against Profanity: Film Makers of Fall Used AI to Remove F-Words

The filmmakers used technology from Flawless AI to clean up the language, enabling the film to earn a rating that welcomes younger viewers.
2 min read
parsing network diagram
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Speaking Your Language

A startup that automatically translates video voice overs into different languages is ready for its big break. London-based Papercup offers a voice translation service that combines algorithmic translation and voice synthesis with human-in-the-loop quality control.
2 min read
Information related to OpenAI's model GPT-3
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Generation Text

People granted early access to OpenAI’s latest language model are raving about its way with words — and more. Beta testers of GPT-3 are showing off the model’s ability to write business memos, craft blogs, pen tweets, and even generate computer code.
2 min read
Illustration of two translators on a scale
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Choosing Words Carefully

The words “big” and “large” have similar meanings, but they aren’t always interchangeable: You wouldn’t refer to an older, male sibling as your “large brother” (unless you meant to be cheeky). Choosing among words with similar meanings is critical in language tasks like translation.
2 min read
Illustration of two people talking with a typo
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Found in Translation

Language models can’t correct your misspellings or suggest the next word in a text without knowing what language you’re using. For instance, if you type “tac-,” are you aiming for “taco,” a hand-held meal in Spanish, or “taca,” a crown in Turkish?
1 min read
Information and examples of CheXbert, a network that labels chest X-rays
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Human-Level X-Ray Diagnosis

Like nurses who can’t decipher a doctor’s handwriting, machine learning models can’t decipher medical scans — without labels. Conveniently, natural language models can read medical records to extract labels for X-ray images.
2 min read
Brains and neural signals reading
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Listening to the Brain

AI has added an unlikely language to its catalog of translation capabilities: brain waves. Joseph Makin led a group from the University of California San Francisco to render a person’s neural signals as English text while the person while the person read a sentence aloud.
2 min read
Clay tablet
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The King’s Moleskine

Machine learning promises to streamline handling of tomorrow’s bureaucratic drudgery — and, it turns out, that of 2,500 years ago. Computer vision is helping researchers at the University of Chicago translate a massive collection of ancient records inscribed on clay tablets.
1 min read
Graph related to Mixture of Softmaxes (MoS)
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Upgrading Softmax

Softmax commonly computes probabilities in a classifier’s output layer. But softmax isn’t always accurate in complex tasks — say, in a natural-language task, when the length of word vectors is much smaller than the number of words in the vocabulary.
2 min read
Math equations represented as trees
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Neural Networks Study Math

In tasks that involve generating natural language, neural networks often map an input sequence of words to an output sequence of words. Facebook researchers used a similar technique on sequences of mathematical symbols, training a model to map math problems to math solutions.
2 min read
Illustration of a fireplace with "Happy holidays" cards in English, Spanish and French
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Language Models Get Literate

Earlier language models powered by Word2Vec and GloVe embeddings yielded confused chatbots, grammar tools with middle-school reading comprehension, and not-half-bad translations. The latest generation is so good, some people consider it dangerous.
2 min read
Map of Northamerica showing different indigenous languages by location
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Power of Babel

More than 900 indigenous languages are spoken across the Americas, nearly half of all tongues in use worldwide. A website tracks the growing number of resources available for natural language processing researchers interested in studying, learning from, and saving these fading languages.
1 min read

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