Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

Explore essential statistical strategies for accurate protein quantification and differential expression analysis.

Businesses base decisions on their current and future data. To steer a company in the right direction, leaders should maintain data integrity.

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

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

This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...

We often hear that “Who remembers the one who comes second?” The term ‘secondary’ is often associated with something less important, isn’t it? But today I tell you the importance of secondary in today ...

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.

Five pitfalls to avoid by Michael Luca and Amy C. Edmondson Let’s say you’re leading a meeting about the hourly pay of your company’s warehouse employees. For several years it has automatically been ...