Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

The newly published study aims to improve this by using machine learning to better predict and tailor enzymes to hit their targets with greater specificity. The approach also offers a scalable ...

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Researchers from MIT, Yale, McGill University and others found that adapting the Sequential Monte Carlo algorithm can make AI-generated code better.

April 23, 2025 • Viet Thanh Nguyen came to the U.S. as a refugee from Vietnam when he was four years old. Growing up in San Jose, California, Nguyen remembers the moment he understood he was ...

Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with ...

Machine learning algorithms search through an enormous amount of health‐related data, analyze it, and predict outcomes for individual patients using unique client identifier ... that deals with the ...

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