This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

Danish-American postdoctoral researcher Louisa Barama, with the help of fellow staff members from the Lawrence Livermore National Laboratory (LLNL) Geophysical Monitoring Programs, is determining how ...

Python scripting is becoming increasingly popular for automating everyday tasks, thanks to its simplicity and versatility ...

Learn how to build cost-effective AI agents locally with LangGraph and Ollama. Step-by-step guide using lightweight, free ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

The developers of OpenFold3 have released an early version of the tool, which they hope will one day perform on par with DeepMind’s protein-structure model.

When I was a little girl I was the third child in the family and just another girl in a family of seven. I had no special place and I felt it. Herb, the first born, was the only boy. My sister Jean ...

Discover the top 10 business analytics careers in the UK for 2025, with salaries, job demand, and key skills. Includes ...

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...