The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

OpenAI introduces Harness Engineering, an AI-driven methodology where Codex agents generate, test, and deploy a million-line ...

Artificial intelligence has solved one of biology’s most stubborn mysteries: how proteins fold into their intricate three-dimensional shapes. But as the field shifts from prediction to application, a ...