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

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

Heat stress is widely recognized as a critical risk factor in livestock systems. Rising temperatures and humidity levels can ...

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 ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

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

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 ...

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

Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly.

A recent analysis of thousands of social media posts reveals that losing a job alters the narrative landscape of a person’s ...

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