Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...
InfoWorld

AI-augmented data quality engineering

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
The New York Times

DOGE Put Critical Social Security Data at Risk, Whistle-Blower Says

DOGE team members uploaded a database with the personal information of hundreds of millions of Americans to a vulnerable cloud server, according to the agency’s chief data officer. By Nicholas Nehamas ...
IEEE

Developing an Appropriate Data Normalization Method

Abstract: The issue of data normalization has been extensively studied with respect to many different applications, for example it has especially became an essential topic in study of gene expression.
IEEE

Studying Data Normalization Methods in the Sustainable Development Indicators Analysis

Abstract: Data normalization is an important step in the sustainability analysis. This is the process of bringing data to a single scale, which makes it possible to compare them with each other and ...
GitHub

Investigate optimal methods for flux normalisation on real masked noisy data

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Semiconductor Engineering

Normalization Keeps AI Numbers In Check

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...
GitHub

Follow-up on Bulk RNA-Seq Normalization Methods Using Seurat

I recently came across the closed issue #826 and have been using Seurat for bulk RNA-seq analysis as well. The discussion in the issue was very helpful, and I wanted to ask a follow-up question.