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The Poetry Fan Who Taught an LLM to Read and Write DNA
By treating DNA as a language, Brian Hie’s “ChatGPT for genomes” could pick up patterns that humans can’t see, accelerating biological design.
Chatbot Software Begins to Face Fundamental Limitations
Recent results show that large language models struggle with compositional tasks, suggesting a hard limit to their abilities.
Can AI Models Show Us How People Learn? Impossible Languages Point a Way.
Certain grammatical rules never appear in any known language. By constructing artificial languages that have these rules, linguists can use neural networks to explore how people learn.
The Year in Computer Science
Researchers got a better look at the thoughts of chatbots, amateurs learned exactly how complicated simple systems can be, and quantum computers passed an essential milestone.
The Computer Scientist Who Builds Big Pictures From Small Details
To better understand machine learning algorithms, Lenka Zdeborová treats them like physical materials.
When Data Is Missing, Scientists Guess. Then Guess Again.
Across the social and biological sciences, statisticians use a technique that leverages randomness to deal with the unknown.
How ‘Embeddings’ Encode What Words Mean — Sort Of
Machines work with words by embedding their relationships with other words in a string of numbers.
Novel Architecture Makes Neural Networks More Understandable
By tapping into a decades-old mathematical principle, researchers are hoping that Kolmogorov-Arnold networks will facilitate scientific discovery.
With ‘Digital Twins,’ The Doctor Will See You Now
By creating digital twins of patients, Amanda Randles wants to bring unprecedented precision to medical forecasts.