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natural language processing

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neural networks

Tiny Language Models Come of Age

By Ben Brubaker
October 5, 2023
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To better understand how neural networks learn to simulate writing, researchers trained simpler versions on synthetic children’s stories.

Q&A

Why Mathematical Proof Is a Social Compact

By Jordana Cepelewicz
August 31, 2023
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Number theorist Andrew Granville on what mathematics really is — and why objectivity is never quite within reach.

information theory

Secret Messages Can Hide in AI-Generated Media

By Stephen Ornes
May 18, 2023
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In steganography, an ordinary message masks the presence of a secret communication. Humans can never do it perfectly, but a new study shows it’s possible for machines.

machine learning

Chatbots Don’t Know What Stuff Isn’t

By Max G. Levy
May 12, 2023
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Today’s language models are more sophisticated than ever, but they still struggle with the concept of negation. That’s unlikely to change anytime soon.

machine learning

A New Approach to Computation Reimagines Artificial Intelligence

By Anil Ananthaswamy
April 13, 2023
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By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before.

artificial intelligence

The Unpredictable Abilities Emerging From Large AI Models

By Stephen Ornes
March 16, 2023
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Large language models like ChatGPT are now big enough that they’ve started to display startling, unpredictable behaviors.

A human speaks to a neural network, which produces mathematical equations, against a starry background
artificial intelligence

To Teach Computers Math, Researchers Merge AI Approaches

By Kevin Hartnett
February 15, 2023
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Large language models still struggle with basic reasoning tasks. Two new papers that apply machine learning to math provide a blueprint for how that could change.

illustration of abstract, boxy-looking robot surrounded by household items such as a knife and a guitar, all of which have labels attached.
artificial intelligence

Machines Learn Better if We Teach Them the Basics

By Max G. Levy
February 1, 2023
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A wave of research improves reinforcement learning algorithms by pre-training them as if they were human.

Illustration of a red monster with many heads, each corresponding to a word, with an array of floating words to choose from and a background showing a network’s connections
neural networks

Researchers Gain New Understanding From Simple AI

By Mordechai Rorvig
April 14, 2022
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Language processing programs are notoriously hard to interpret, but smaller versions can provide important insights into how they work.


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