Sequence Display enables unbiased, large-scale mapping of protein sequence–activity landscapes, providing rich datasets for machine-learning-guided protein engineering. Directed evolution has been ...

Protein sequence likelihood models (PSLMs) are an emerging class of self-supervised deep learning algorithms that learn probability distributions over amino acid identities conditioned on structural ...

To date, vibe coding platforms have largely relied on existing large language models (LLMs) to help write code. However, writing code is only one of many different tasks developers need to perform to ...

As organizations invest billions of dollars in artificial intelligence, most still struggle to translate those investments into measurable results. Researchers at Carnegie Mellon University’s Software ...