Generative AI (GenAI) can help manufacturing engineers diagnose issues in seconds. Or predict equipment failures before they ...

When it comes to medical imaging, a chatbot doesn't know its backside from its elbow. Or, at least, it can't tell a spine ...

Data pipelines determine whether an AI project begins with reliable information or disconnected files. Before training starts ...

This valuable paper reports on a measure of flexible brain state engagement, derived from fMRI, as a predictor of cognitive control. One strength of the study is the use of external datasets for ...

AI can write essays and code, but spreadsheets remain a weak spot. Researchers are building a new kind of model designed to ...

AI models are leveling out, meaning your real competitive edge is good data. CIOs need to step up and build a company culture that actually values data.

Here we present example workflows to perform a large scale untargeted metabolomics LC-MS/MS data preprocessing for molecular networking analysis using GNPS. The data set is described in Nothias, L.F.

Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...

The Cancer Genome Atlas (TCGA) provides comprehensive genomic data across various cancer types. However, complex file naming conventions and the necessity of linking disparate data types to individual ...