Machine learning interatomic potentials (MLIPs) have become an essential tool to enable long-time scale simulations of materials and molecules at unprecedented accuracies. The aim of this collection ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

A data center, which can use as much electricity as Philadelphia, is the new American factory, creating the future and ...

Artificial intelligence (AI) has become one of the most potent force multipliers the criminal underground has ever seen.

Liu, R. and DeLuca, D. (2025) How Does the Healthcare Community Perceive Artificial Intelligence? —A Systematic Review.

Announced earlier today, Mineral, Alphabet’s ag company, will wind down its operations. “Mineral will no longer be an Alphabet company, and our technology will live on inside of leading agribusinesses ...

Looking for the best Raspberry Pi projects of 2025? Our top 10 list shows you how to build a retro game console, a weather station, a smart mirror, and more.

Asbestos exposure remains a critical public health concern in the United States due to its well-established link with ...

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...

Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.

In-context learning has the potential to revolutionize how machines acquire knowledge—enabling them to adapt, reason, and ...