Labroots

When Data Aren't Comparable: Why Harmonization Matters in High Throughput Proteomic

Do you agree? Data normalization isn’t the finish line. Harmonization is. Even after basic normalization, datasets can drift ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

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

Word of the Day – Schadenfreude: Meaning, examples, and psychological research

Schadenfreude is trending as searches spike during celebrity scandals and political controversies. Nearly 68% of Americans admit feeling secret satisfaction at rivals failures. Psychologists link it ...
IEEE

Data Poisoning Offensive and Defensive System in FL-enabled Low-Altitude IoT Scenario: Unlearnable Example Attack and Model Similarity Defend

Abstract: Low-altitude Internet of Things (LAIOT) integrates sensing, communication, and edge intelligence within aerial networks. As a distributed training paradigm, federated learning (FL) is a ...
IEEE

Local Normal Space Alignment for Industrial Process Monitoring by Nonisotropic Condition Data

Abstract: The effectiveness of dimension reduction analysis for high-dimensional process data is crucial to ensure industrial safety. Manifold learning methods can be advanced by considering both ...
Forbes

Powering Smarter AI And LLMs With The Right Data Strategy

AI and large language models (LLMs) are transforming industries with unprecedented potential, but the success of these advanced models hinges on one critical factor: high-quality data. Here, I'll ...