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

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.

Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

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