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Some Neural Networks Learn Language Like Humans
Researchers uncover striking parallels in the ways that humans and machine learning models acquire language skills.
Secret Messages Can Hide in AI-Generated Media
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.
Chatbots Don’t Know What Stuff Isn’t
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.
The Computer Scientist Peering Inside AI’s Black Boxes
Cynthia Rudin wants machine learning models, responsible for increasingly important decisions, to show their work.
A New Approach to Computation Reimagines Artificial Intelligence
By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before.
The Unpredictable Abilities Emerging From Large AI Models
Large language models like ChatGPT are now big enough that they’ve started to display startling, unpredictable behaviors.
In Neural Networks, Unbreakable Locks Can Hide Invisible Doors
Cryptographers have shown how perfect security can undermine machine learning models.
An Applied Mathematician With an Unexpected Toolbox
Lek-Heng Lim uses tools from algebra, geometry and topology to answer questions in machine learning.
To Teach Computers Math, Researchers Merge AI Approaches
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.